International Journal of Financial Studies doi: 10.3390/ijfs12020032
Authors: Ayman Shehadeh Mahmoud Daoud Daoud Nassar Husam Shrouf Mohammad Haroun Sharairi
The primary objective of this research was to investigate the potential moderating role of audit fees in the relationship between audit committee characteristics and earnings management. Specifically, this study aimed to establish connections between audit committee features, such as committee size, member independence, and financial expertise, and the practice of earnings management. To address these research questions, a convenient sample of 46 service providers listed on the Amman Stock Exchange between 2016 and the subsequent year was employed. Descriptive statistical methods were applied to characterize the variables under investigation, while a multiple regression model was utilized to assess the study’s hypotheses. The findings of the study revealed that there was no significant correlation between the size of the audit committee and earnings management. However, a negative correlation was observed between the audit committee’s independence and the financial expertise of its members. Importantly, when audit fees were introduced as a moderating variable, the relationships between committee member independence and earnings management, as well as between committee member financial expertise and earnings management, were found to be weakened. These results have potential implications for policymakers and regulators in Jordan. They may offer valuable insights into corporate governance reforms that could assist Jordanian businesses in enhancing their earnings management practices.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12020031
Authors: Allan Jonathan da Silva Jack Baczynski José Valentim Machado Vicente
We introduce a novel stochastically correlated two-factor (i.e., bivariate) diffusion process under the square-root format, for which we analytically obtain the corresponding solutions for the conditional moment-generating functions and conditional characteristic functions. Such solutions recover verbatim those of the uncorrelated case which encompasses a range of processes similar to those produced by a bivariate square-root process in which entries are correlated in the standard way, that is, via a constant correlation coefficient. Note that closed-form solutions for the conditional characteristic and moment-generating functions are not available for the latter. We focus on the financial scenario of obtaining closed-form expressions for the exact price of a zero-coupon bond and Asian option prices using a Fourier cosine series method.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12020030
Authors: Abdullah Sallehhuddin Abdullah Salim Norzarina Md Yatim Salmi Md Zahid
This study was conducted in Malaysia to examine the effectiveness of the microfinance programme for urban single mother entrepreneurs in MSMEs during the COVID-19 pandemic and Movement Control Order (MCO). Implemented as a response to the pandemic, the MCO significantly disrupted businesses, particularly MSMEs. The study aimed to investigate the relationship between empowerment factors (economic, social, digital, and psychological) and governance aspects concerning the effectiveness of microfinance programmes. Using a positivist paradigm and employing quantitative methods through online questionnaire distribution, this research established a framework based on empowerment theory. The findings underscore the importance of economic empowerment, digital empowerment, and governance aspects for microfinance programme success, and provide empirical backing for suitable mitigation strategies for MSME entrepreneurs. The study emphasises the importance of supporting single mother entrepreneurs through various developmental activities, technical and vocational training, and comprehensive financial and non-financial aid initiatives. It stresses the critical role of women, particularly single mothers, in propelling societal and economic advancement, and advocating for their empowerment through targeted interventions. Overall, the findings enhance understanding of the challenges MSMEs face during crises, and offer insights for policymakers and microfinance agencies to strengthen support for single mother entrepreneurs in navigating future challenges and fostering economic resilience and development.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010029
Authors: Swati Mohapatra Jamini Kanta Pattanayak
The importance of intellectual capital (IC) in past decades unfolds several dimensions of firm performance (FP). Still, the contradictory and inconclusive relationship between IC and FP in the literature motivates the researchers to explore further and understand the empirical connection using both linear and curvilinear approaches. Using the fixed-effect panel regression models on a sample of 795 non-financial firms of India from the financial years 2004–2005 to 2020–2021, this study reveals that, undoubtedly, the IC enhances the FP up to a certain threshold, and with any marginal investment, IC reduces the FP by forming the inverted U-shaped curve. Interestingly, the presence of BIG4 auditors in Indian firms helps to increase the FP with the help of IC, even for the group-affiliated firms. Thus, this study aligns with both value creation and cost concern perspectives and implies that management and regulatory bodies may adopt a balanced approach while enhancing the FP through IC, as the result suggests that investment in IC will not endlessly improve the FP in the Indian context.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010028
Authors: Tu D. Q. Le Dat T. Nguyen Thanh Ngo
This study investigates the relationship between market power and bank profitability, and the impacts of CEOs’ personality traits, in Vietnam from 2007 to 2020. The analysis of CEOs’ signatures is used to determine their characteristics. The findings support the quiet-life hypothesis, which suggests that the negative relationship between market power and bank profitability may depend on CEOs’ characteristics. More specifically, the results show that conscientious CEOs with market power tend to reduce bank profitability, and this effect is more pronounced for foreign-owned banks. Therefore, our findings have critical implications for bank management.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010027
Authors: Yi Tan Xiaoli Wang Xiaoyu Fu
In this paper, we empirically examine the impact of venture capital investment on the dividend policy of the invested companies using a sample of list companies from China’s ChiNext market during the period 2014 to 2019. Our empirical results show that different types of VC investments have different impacts on the dividend policies of the invested companies. To be specific, we found independent venture capital companies (IVCs) promote the company’s dividend payment and increase the level of dividend payments while corporate venture capital (CVC) inhibits the company’s dividend payment. The joint participation of multiple types of venture capital investment (syndication) also increases the company’s dividend distribution. Our main contributions are two-fold. First, we provide a comprehensive analysis in the field of VC and dividend policy; second, we differentiate VC from the perspective of investment objectives and examine its different impacts on the dividend policies of the invested companies.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010026
Authors: SungSup Brian Choi Kudzai Sauka MiYoung Lee
This research investigates the factors influencing the capital structure of 271 non-financial firms listed on the Korean Stock Exchange (KSE) over a broad period from 1995 to 2021, encompassing both stable and crisis conditions. Employing a dynamic panel data model and the generalized method of moments (GMM) estimation, we address the endogeneity issue introduced by the inclusion of lagged dependent variables. Our research integrates firm-specific internal factors with macroeconomic external variables to provide a comprehensive understanding of the influence of varying economic environments on capital structure. Our study suggests that in times of economic stability, the capital structure decisions of a firm are more influenced by internal factors such as profitability. However, in periods of economic downturns, it is the external macroeconomic market conditions that tend to have a greater impact on these decisions. It is also noteworthy that both book leverage (BL) and market leverage (ML) exhibit quicker adjustments during stable periods as opposed to periods of crisis. This indicates a higher agility of firms in adapting their capital structures in stable, normal conditions. Our findings contribute to the existing literature by offering a holistic view of capital structure determinants in Korean firms. They underscore the necessity of adaptable financial strategies that account for both internal dynamics and external economic conditions. This study fills a gap in current research, presenting new insights into the dynamics of capital structure in Korean firms and suggesting a multifaceted approach to understanding capital structure in diverse economic contexts.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010025
Authors: Ionuț Nica Camelia Delcea Nora Chiriță Ștefan Ionescu
This study describes a comprehensive bibliometric analysis of shadow banking and financial contagion dynamics from 1996 to 2022. Through a holistic approach, our study focuses on quantifying the impact and uncovering significant trends in scientific research related to these interconnected fields. Using advanced bibliometric methods, we explored the global network of publications, identifying key works, influential authors, and the evolution of research over time. The results of the bibliometric analysis have highlighted an annual growth rate of 22.05% in publications related to the topics of shadow banking and financial contagion, illustrating researchers’ interest and the dynamic nature of publications over time. Additionally, significant increases in scientific production have been recorded in recent years, reaching a total of 178 articles published in 2022. The most predominant keywords used in research include “systemic risks”, “risk assessment”, and “measuring systemic risk”. The thematic evolution has revealed that over time, the focus on fundamental concepts used in analyzing these two topics has shifted, considering technological advancements and disruptive events that have impacted the economic and financial system. Our findings provide a detailed insight into the progress, gaps, and future directions in understanding the complex interplay of shadow banking and financial contagion. Our study represents a valuable asset for researchers, practitioners, and policymakers with a keen interest in understanding the dynamics of these critical components within the global financial system.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010024
Authors: Reinier de Adelhart Toorop Dirk Schoenmaker Willem Schramade
We investigate the decision rules for corporate investment by designing a company value frontier. This company value frontier allows for balancing the financial value and social and environmental impacts. This article develops novel value concepts—ranging from shareholder value to shareholder welfare and integrated value—resulting in varying preferences for social and environmental impacts or values. Next, these preferences are incorporated in investment decision rules. The traditional net present value (NPV) rule optimises only the financial value. We propose a new integrated present value (IPV) decision rule that includes a preference for social and environmental values without neglecting the financial value. By applying the new IPV rule, responsible companies are able to achieve more sustainable outcomes.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010023
Authors: Anuwat Boonprasope Korrakot Yaibuathet Tippayawong
Following the COVID-19 pandemic, the healthcare sector has emerged as a resilient and profitable domain amidst market fluctuations. Consequently, investing in healthcare securities, particularly through mutual funds, has gained traction. Existing research on predicting future prices of healthcare securities has been predominantly reliant on historical trading data, limiting predictive accuracy and scope. This study aims to overcome these constraints by integrating a diverse set of twelve external factors spanning economic, industrial, and company-specific domains to enhance predictive models. Employing Long Short-Term Memory (LSTM) and Multiple Linear Regression (MLR) techniques, the study evaluates the effectiveness of this multifaceted approach. Results indicate that incorporating various influencing factors beyond historical data significantly improves price prediction accuracy. Moreover, the utilization of LSTM alongside this comprehensive dataset yields comparable predictive outcomes to those obtained solely from historical data. Thus, this study highlights the potential of leveraging diverse external factors for more robust forecasting of mutual fund prices within the healthcare sector.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010022
Authors: Okechukwu Enyeribe Njoku Younghwan Lee
This study investigates the relationship between dividend policy, firm performance, and value within the Korean market, taking into account the unique context of Chaebol ownership structures. Utilizing a robust dataset of 5478 observations from the Korean Composite Stock Price Index, our empirical analysis employs advanced regression models, revealing distinctive effects of various dividend policy measures through the lenses of interest alignment and managerial entrenchment hypotheses. Surprisingly, while cash dividend payments exhibit a robust positive impact on Tobin’s Q and market-to-book ratios, suggesting an overall positive link with market valuations, a closer inspection reveals divergent impacts for Chaebol and non-Chaebol firms. In Chaebol entities, dividend policy proxies consistently demonstrate positive effects on performance metrics, aligning with the interest alignment hypothesis and highlighting strategic signaling efforts. Conversely, non-Chaebol firms exhibit intriguingly negative impacts, supporting the managerial entrenchment hypothesis and implying potential challenges to market value. Firms should prioritize transparent communication on dividend policies for improved investor decision making and enhanced corporate governance in the dynamic Korean market.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010021
Authors: Tarek Eldomiaty Islam Azzam Mostafa Fouad Yasmeen Said
The progress of financial markets depends on the way world investors foresee the market potential of the country of choice. Countries that are associated with favorable economic incentives are able to motivate investments in their respective stock markets. The objective of this paper is to examine the role of the many economic components which constitute the Market Potential Index in enhancing stock market progress. The methodology goes through testing and estimation. The tests include linearity versus nonlinearity (RESET), normality, and cointegration. The estimation includes cointegration regression and discriminant analysis to distinguish between high and low stock market progress. This study examines unbalanced panel data that covers the years 1996–2022 for 54 countries where a stock market exists. The results show the following: (a) increases in people’s expenditure result in decreases in consumption of investment in financial securities; (b) the investments in infrastructure technology is positively associated with stock market progress; (c) the positive effect of economic freedom indicates that further adaptive trading regulations are beneficial to stock market progress; (d) increases in imports consume large proportions of people’s income, coming at the expense of investment in financial securities; (e) stock markets that are associated with high country risk are characterized by a positive risk–return tradeoff, i.e., a high risk premium; (f) the stock markets listed in the MPI can reach high progress by improving three indicators, namely commercial infrastructure, market receptivity, and country risk. This paper offers a thorough and unique examination of the institutional arrangements and stock market progress. The paper offers a guide to policy makers about how economic institutional arrangements can be promoted in order to reach high stock market progress.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010020
Authors: Davinder Malhotra Srinivas Nippani
This study investigates the risk-adjusted performance of energy equity mutual funds across a 23-year period, employing the Cumulative Wealth Index (CWI) to gauge their long-term performance relative to benchmark indices. Despite inherent volatility due to the energy sector’s cyclical nature, these funds consistently outperformed benchmarks based on monthly returns, showcasing resilience amid market fluctuations. However, challenges emerged during the COVID-19 pandemic, with notable improvements post-vaccination. Utilizing a multi-factor model, the research highlights the interconnectivity of energy equity mutual funds with broader market movements and systemic factors. Despite their primary focus on the energy sector, these funds exhibit sensitivity to larger market trends, rendering them susceptible to market dynamics. Additionally, an assessment of portfolio manager expertise reveals some proficiency in security selection post-vaccinations against COVID-19.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010019
Authors: John E. Marthinsen Steven R. Gordon
The failure of major banks in 2023, such as Silicon Valley Bank (SVB), Signature Bank, First Republic Bank, and Credit Suisse, points to the continuing need for financial institutions to price liquidity risk properly and for financial systems to find alternative sources of liquidity in times of dire need. Central bank digital currencies (CBDCs), fiat-backed stablecoins (fsCOINs), and synthetic central bank digital currencies (sCBDCs) could offer improvements, but each comes with its own set of problems and conditions. Prior research reaches conflicting conclusions about the effect that each of these three financial assets has on systemic bank liquidity and fails to adequately address their net benefits relative to each other. This paper addresses these issues, including those connected to financial disintermediation, bank runs, outsourcing central bank activities, financial interoperability, cash equivalents, maturity transformation, required reserves, and changes in nations’ monetary bases. After addressing the strengths and weaknesses of fsCOINs and CBDCs, we conclude that sCBDCs provide the most significant net liquidity benefits when risks and returns are considered.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010018
Authors: Li Zhao Nathee Naktnasukanjn Ahmad Yahya Dawod Bin Zhang
The efficient capital markets hypothesis (EMH) posits that security prices incorporate all available information in capital markets. Nevertheless, real stock markets often exhibit speculative behavior due to information asymmetry and the limited rationality of investors. This paper employs statistical analysis, a multiple regression approach, and robustness tests to investigate the impact of investor attention and accounting information comparability on stock returns. We collected monthly data from all Chinese A-share stocks listed on the main board of the Shanghai Stock Exchange for the period 2017–2021. Our findings reveal a significant positive correlation between current investor attention and current monthly stock returns and a significant negative correlation between lagged investor attention and current monthly stock returns. Moreover, accounting information comparability serves as a substantial moderator, amplifying the positive effect of current investor attention on current stock returns and mitigating the negative impact of lagged investor attention. We investigate the indicator of accounting information comparability from the perspective of investor attention. Significantly, we use accounting information comparability as a moderating variable for the first time to assess its influence on stock returns. Our results demonstrate that accounting information comparability significantly contributes to mitigating excessive share price declines and stimulating share price increases. This discovery also acts as an internal driver for listed companies to proactively improve accounting information comparability.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010017
Authors: Chiou-Yann Lee Chun-Ru Wen Binh Thi-Thanh-Nguyen
This study presents a novel financial performance forecasting method that combines the threshold technique with Artificial Neural Networks (ANN). It applies the threshold regression method to identify the factors within the board of directors that influence the financial performance of traditional industries in Taiwan. The findings indicate that the ANN method effectively predicts financial performance by using relevant board structure data. Furthermore, the empirical results suggest that boards with more members demonstrate increased profitability. Additionally, a more significant presence of board members with accounting expertise contributes to more consistent profits. In contrast, an increased presence of members with financial expertise has a more pronounced impact on profitability.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010016
Authors: Piotr Ratajczak Dawid Szutowski Jarosław Nowicki
The aim of this study is to verify the stability of the profitability–liquidity relationship over time, as well as to determine this relationship in terms of its level and structure. In this context, three main research questions were formulated. First, is the profitability–liquidity relationship stable in times of crisis? Second, what is the profitability of companies with high and low liquidity? Third, what is the liquidity of companies with high and low profitability? This study uses a self-organizing map (SOM), a data visualization technique that is a type of artificial neural network trained in an unsupervised manner. A dataset covering the period from 2019 to 2021, consisting of 300 Polish companies from the wholesale and retail sectors, was used. The main results of this study indicate that: (1) companies with a balanced profitability–liquidity relationship in the pre-crisis period (2019) maintained this relationship in the crisis (2020) and post-crisis periods (2021); (2) companies in the clusters with the relatively highest and lowest profitability have the relatively lowest and moderate liquidity both before and after the crisis period; (3) the majority of companies during non-crisis periods demonstrate that profitability is not reliant on liquidity, suggesting an absence of a clear relationship; (4) in the post-crisis period, companies with the relatively lowest operating cash flow margin (OCFM) exhibited the relatively highest net profit margin (NPM) and other profitability ratios, as opposed to the pre-crisis and crisis periods. This study fills the gap resulting from the incomplete—most of all static—understanding of the relationship between profitability and liquidity. Moreover, this study employs a self-organizing map (SOM) which has not been used in the literature regarding the research area undertaken.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010015
Authors: Christophe Faugere
This article provides a macro-foundation for why the specific value of 2% is a valid inflation target. The approach postulates that innovations generate transactional cost savings by comparison to barter. The optimal velocity of money is derived as a function of productivity growth and of long-term and short-term interest rates, with coefficients reflecting the leverage ratio of depository institutions and the degree of bias in technical progress in the transaction technology. The model is tested for the U.S. (for aggregates M1, M1RS, and M1S) over the period 1959–2007. Setting the inflation target rate equal to the growth rate of velocity leads to an inflation rate near 2% and is akin to pursuing the Friedman k-% rule. This rule provides flexibility to prevent deflation. A long-term Taylor-type rule is derived. A robustness test is also conducted by extending the sample period up to 2023, covering sustained episodes of unconventional U.S. monetary policy.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010014
Authors: Cumhur Ekinci Oğuz Ersan
Assuming that investors can be foreign or local, do high-frequency trading (HFT) or not, and submit orders through a bank-owned or non-bank-owned broker, we associated trades to various investors. Then, building a panel vector autoregressive model, we analyzed the dynamic relation of these investors with returns and among each other before and during the COVID-19 market crash. Results show that investor groups have influence on each other. Their net purchases also interact with returns. Moreover, during the turmoil caused by the pandemic, except foreign investors not involved in HFT, the response of any investor group (retail/institutional, domestic investors doing HFT and those not doing HFT, and foreign investors doing HFT) significantly altered. This shows that the interrelation among investor groups is dynamic and sensitive to market conditions.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010013
Authors: Abdullah A. Aljughaiman Abdulateif A. Almulhim Abdulaziz S. Al Naim
This paper investigates the association between board of director (BOD) structures and CEO equity-based compensation (long-term incentive) for commercial banks (conventional and Islamic banks) in MENA countries. Specifically, we take board size and board independence to measure the board structure. Furthermore, we investigate the influence of board structure on the association between CEO equity-based compensation and financial performance. Moreover, we compare conventional and Islamic banks in testing these relationships. Using a sample of 65 banks in MENA countries for the period between 2009 and 2020, we show a significant positive association between board size and CEO compensation. However, we find the same association between these variables for IBs, but the effect of board size on CEO compensation is less. We also show that board independence is negatively correlated with CEO compensation. Nevertheless, the relationship between board independence and CEO ownership is positive for IBs. For the moderating test, we find that effective board structure provides more incentives to the CEO, leading them to achieve higher financial performance. The Islamic bank’s business model (based on Shari’ah principles) contributes to the different influences of board structure on CEO compensation. Our results provide the insight that a strong and effective board is important for managing the executive’s compensation system. The findings of this study have implications for financial firms, policymakers, and regulators. Specifically, the study may help in understanding the benefits of different compensation structures relative to different types of financial firms.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010012
Authors: Rasha Istaiteyeh Maysa’a Munir Milhem Farah Najem Ahmed Elsayed
This paper presents a comprehensive analysis of key financial indicators influencing the operational efficiency of banks in Jordan over the period 2006 to 2021. The study, focusing on fifteen commercial banks, employs seven regression models to assess the impact of selected variables on bank operating efficiency. Our findings reveal novel insights with substantial contributions to banking practice. We identify a statistically significant influence of both bank-specific factors and temporal effects, demonstrating the nuanced dynamics shaping the operational efficiency of Jordanian banks. Notably, a positive and significant correlation is established between the operating efficiency ratio and return on assets, bank size, and the ratio of loan loss provisions to net interest income, providing valuable strategic guidance for effective management. Conversely, a significant negative relationship is observed between the operating efficiency ratio and the total expense ratio, underscoring the critical importance of careful cost management. No significant associations are found between the operating efficiency ratio and credit risk, the equity-to-asset ratio, the deposit-to-liability ratio, and the equity-to-liability ratio. This study makes a unique contribution by shedding light on these previously unexplored correlations, offering actionable insights for enhancing operational efficiency in the banking sector. Additionally, our research advocates for the Central Bank of Jordan (CBJ) to persist in adaptive policy measures, which are crucial for ongoing banking reforms and improved monitoring practices. Based on our empirical findings, these recommendations aim to fortify the resilience and adaptability of Jordan’s banking sector, contributing both academically and practically. Importantly, they reinforce the symbiotic link between a stable banking sector and sustained economic development in Jordan.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010011
Authors: Sherwood Lane Lambert Kevin Krieger Nathan Mauck
We propose a generalized, practitioner-oriented operating-leverage model for predicting operating income using net sales, cost of sales, depreciation, and SG&A. Prior research links operating income directly to these items; hence, our model includes all aggregate revenues and expenses that comprise operating income. Prior research finds that the cost of sales is “much less” sticky than depreciation and SG&A; hence, we use the cost of sales as a proxy for the total variable costs and depreciation and SG&A as proxies for the sticky fixed costs. We introduce a new adjustment to the textbook operating-leverage model so that the ratio of sales to the cost of sales remains constant for the reference and forecast periods. Inspired by prior research, we adjust depreciation and SG&A for cost stickiness. We find that using our generalized operating-leverage model improves the forecast accuracy of next-quarter and next-year operating income predictions compared to predictions made using textbook operating leverage, which is a special case of our model.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010010
Authors: Francesco Fasano Maurizio La Rocca F. Javier Sánchez-Vidal Maria Josephin Lio Alfio Cariola
Credit from suppliers is an important source of finance for firms. It can sustain firms’ financial flexibility even in periods of downturn. In this study, using a large database of 90,763 Italian firms in the 2015–2021 period, we investigated how local financial development affects the trade-credit policies of SMEs and how this effect is conditioned by the degree of judicial enforcement. Given that trade credit can be a substitute for bank financing, we find that firms make more use of trade credit in developed financial markets. Moreover, we highlight the finding that a higher degree of judicial enforcement, which reinforces the role of contracts in the market, amplifies this effect. Finally, we observe that the COVID-19 crisis has reduced both the positive effect of local financial development and the positive moderating effect of enforcement in the use of trade credit.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010009
Authors: Cláudia Pereira Beatriz Castro Luís Gomes Helena Canha
We investigate whether accounting information system quality has an impact on the level and efficiency of firms’ investments. While firms’ growth depends on investment and financing decisions, accounting information is fundamental for the decision-making of several stakeholders. We assess the accounting information system quality by discretionary accruals, whereas the investment inefficiency is estimated by the residuals of an investment regression for a sample of 3073 Portuguese SMEs from 27 industries, over the period from 2016 to 2021 using a panel regression analysis. The empirical evidence suggests that firms exhibiting higher accounting information system quality tend to invest more. In addition, firms with a lower accounting information system quality have more inefficient investments, as they tend to engage in more overinvestment, although this is not significant for underinvestment. Therefore, this study provides new evidence regarding the impact of accounting information systems on investment that may be useful for several stakeholders, such as managers, creditors, regulators, and academics, by providing evidence for SMEs, where empirical studies are scarce.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010008
Authors: Stanislav Letkovský Sylvia Jenčová Petra Vašaničová
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success rates in classification tasks, it remains uncertain whether its use significantly enhances the potential for early warning of impending problems. The following question arises: will classical methods eventually replace the effectiveness of these advanced techniques? This paper sheds light on the fact that even classical methods continue to achieve results that are not far behind, highlighting their enduring importance in financial analysis. This paper aims to develop bankruptcy prediction models for the chemical industry in Slovakia and to compare their effectiveness. Predictions are generated using the classical logistic regression (LR) method as well as AI techniques, artificial neural networks (ANNs), support vector machines (SVMs), and decision trees (DTs). The analysis aims to determine which of the employed methods is the most efficient. The research sample consists of circa 600 enterprises operating in the Slovak chemical industry. The selection of eleven financial indicators used for bankruptcy prediction was grounded in prior research and existing literature. The results show that all of the explored methods yielded highly similar outcomes. Therefore, determining the clear superiority of any single method is a difficult task. This might be partially due to the potentially reduced quality of the input data. In addition to classical statistical methods employed in econometrics, there is an ongoing development of AI-based models and their hybrid forms. The following question arises: to what extent can these newer approaches enhance accuracy and effectiveness?
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010007
Authors: Marisa Pessoa Gonçalves Pedro M. Nogueira Reis António Pedro Pinto
In this study, we provide a thorough analysis, conducted on a company-by-company basis, of the impact of bank concentration and the bank-relative power of banks on firm profitability, financing costs, and capital structure in a small economy like Portugal. Using a sample of 434,990 Portuguese companies, the study spans a time frame of 13 years (from 2006 to 2018). Principal component analysis (PCA) was used to determine bank concentration, and a new variable, “bank-related power”, was introduced. This work employed linear regression with static panel data for fixed and pooled effects, using Driscoll–Kraay standard errors and robust standard error estimation. A direct association was found between business performance and the use of bank credit in highly concentrated banking markets (SMEs), and there is evidence of an inverse relationship when the relative power of banks increases (small business). Evidence also shows that financing costs increase with greater bank concentration, while firms’ capital structure improves under similar conditions. When a bank holds greater relative market power, it tends to exert a negative impact on the capital structure of large companies. However, an inverse relationship is observed in the case of SMEs. Unlike previous studies, the article assesses the effects of bank market power on each of the different companies involved by using both bank concentration (as a composite variable) and a new variable that measures the relative power of banks. Due to its extensive database and expanded time frame, this research is innovative in the context of small-sized companies.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010006
Authors: Tchai Tavor
This research investigates the burgeoning peer-to-peer (P2P) economy, exemplified by platforms such as Airbnb, and its implications within the North American context. The study focuses on understanding the repercussions of Airbnb announcements on capital markets, concentrating specifically on the travel and tourism sector and the real estate sector. The findings unveil a discernible augmentation in index returns preceding the announcement’s publication in both sectors. However, a notable divergence manifests post-announcement: while the real estate sector sustains an upward trajectory in returns, the travel and tourism sector experiences a post-publication decline. These results underscore the strategic advantage available to investors with early access to Airbnb announcements, enabling them to capitalize on excess profits. Furthermore, the broader investor community can leverage the insights gleaned from Airbnb announcements for financial gains. A nuanced examination of regression results reveals the substantial impact of macroeconomic variables on index returns in both the travel and tourism sector and the real estate sector. These insights contribute to a more nuanced understanding of the intricate dynamics shaping these economic domains.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010005
Authors: Voicu D. Dragomir
The aim of the present study is to assess the impact of structural capital intensity and utilization on firm profitability in an international setting: the European Union countries, plus Norway, Switzerland and the United Kingdom. The indicators are calculated based on financial data downloaded from the Refinitiv Eikon database. Two financial ratios are used as proxies for the intensity and utilization of structural capital. The balanced panel consists of 625 companies from 25 countries, over the period from 2013 to 2022. The panel includes financial information on two industries that are considered innovation-oriented, namely technology and healthcare. Alternative model specifications are proposed to test the robustness of the basic model, including dynamic models (with lagged dependent variables). The present study indicates that a higher proportion of structural capital (intangible assets, excluding goodwill) is a negative factor for company profitability in the technology and healthcare sectors. There is no indication that a more intense use of intangible assets and more investments in R&D positively contribute to company profitability in the respective industries, for a large sample of listed companies. A higher proportion of intangible assets, as reported in financial statements, is possibly related to inefficiencies in the management of structural capital. The inverse relationship between profitability and investments in intangible assets is likely due to failures in cost accounting. Limitations and future research propositions are provided in the conclusions.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010004
Authors: Carla Oliveira Henriques Maria Elisabete Neves João Jorge Couceiro
This paper examines the efficiency of alternative energy equity Exchange-Traded Funds (ETFs) and conventional energy equity ETFs from 2018 to 2020, utilizing a combination of an output-oriented Slack-Based Data Envelopment Analysis (DEA) model and cluster analysis. In the context of an output-oriented DEA model, efficiency is defined as the ability of an ETF to maximize its outputs (annualized average return; environmental, social responsibility, and corporate governance; and net asset value) given a fixed level of inputs (expense ratio and beta). The findings indicate that alternative energy ETFs have the potential for long-term outperformance compared to conventional energy ETFs in terms of efficiency. However, during financial crises, the performance differences between the two types of ETFs diminish, with no significant outperformance observed in either category. The expense ratio and net asset value are identified as key factors influencing the efficiency of both ETF types. Additionally, social and governance metrics have a notably stronger positive impact on conventional energy ETFs relative to alternative energy ETFs, highlighting the increasing significance of these factors in financial asset performance.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010003
Authors: Adey Tarawneh Aisyah Abdul-Rahman Syajarul Imna Mohd Amin Mohd Fahmi Ghazali
Financial technology (Fintech), characterized as technology-driven financial innovation, has catalyzed significant economic growth across various nations. The Fintech sector has experienced remarkable expansion, boasting vast user numbers. While regions like the United States and China have seen accelerated Fintech development, other areas like Western Europe, Eastern Asia, and the Middle East continue their evolutionary journey with this technology. Our research offers a systematic review of contemporary literature, probing the crucial Fintech metrics affecting bank profitability and identifying the primary factors influencing these profits. This review introduces a holistic methodology for quantitatively assessing the evolving Fintech measures and their interplay with determinants of bank profitability. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, our study evaluates 28 articles from Web of Science and Scopus databases from August 2019 to August 2023. Findings delineate two principal themes: Fintech measures at both bank and country levels and determinants of profitability, encompassing bank-specific and country-specific variables. We utilize the Theories, Constructs, Contexts, and Methods framework to chart the course for future research. Our insights bear significance for theoretical progression and practical implementation, offering academics, banking professionals, and policymakers a nuanced comprehension of the nexus between Fintech and bank profitability.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010002
Authors: Mosab I. Tabash Neenu Chalissery T. Mohamed Nishad Mujeeb Saif Mohsen Al-Absy
Market turbulences and their impact on the financial market, particularly on the stock market, is a financial topic that has received significant research attention recently. This study compared the characteristics of stock return and volatility in selected developed and emerging markets between the 2008 financial crisis and the 2019 worldwide pandemic. In this sense, we seek to answer two concerns. First, do the developed and emerging markets behave similarly during crisis periods? Second, does economic strength always shield markets from poor economic circumstances? For this purpose, the daily return data of E7 (Emerging 7) and G7 (Developed 7) countries for two sample periods—namely, the financial crisis period of 2007–2009 and the global pandemic period of 2019–2021—were chosen. By using univariate GARCH models, namely GARCH, EGARCH, and TGARCH, the study discovered that developing and developed markets reacted differently to these two financial crises. While emerging markets responded similarly to these two crises, developed economies acted differently, being more volatile and sensitive to the worldwide pandemic of 2019 than the financial crisis of 2008. Moreover, a country’s economic prowess does not always shield it from economic turmoil. This study will help investors identify diversification opportunities among the developed and emerging markets during a crisis period. Additionally, this will help portfolio and fund managers understand the behaviour of stock markets during times of market crisis and thus give advice to investors.
]]>International Journal of Financial Studies doi: 10.3390/ijfs12010001
Authors: Mohammed M. Yassin Dea’a Al-Deen Al-Sraheen Khaldoon Ahmad Al Daoud Mohammad Alhadab Farouq Altahtamouni
The Financial Accounting Standards Board (FASB) released Accounting Standards Codification (ASC) 606, “Revenue from Contracts with Customers”, with the aim of enhancing transparency to provide fairer representation and inhibit the misuse of revenues to manipulate earnings. During COVID-19, variable considerations in ASC 606 were used to manage earnings as a tool to help firms survive. The study aimed to test the mediating role of earnings management in influencing the effect of variable considerations in ASC 606 on the continuity of the firm. An online questionnaire was sent to financial reporting preparers in US public shareholding firms; 403 valid questionnaires were received. The results of PLS-SEM revealed that crises such as COVID-19 have highlighted the way in which variable considerations in ASC 606 were exploited to manage firms’ earnings to ensure their survival. Companies resort to showing their best financial performance, beautifying its financial reports by manipulating profits, using flexibility in accounting policies, but this may negatively affect the country’s entire economy by collapsing companies and creating more financial crises that cannot be easily addressed.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040151
Authors: Md Monzur Morshed Keshav Lall Maharjan
Despite the expansion of financial institutions and the proliferation of mobile financial services, reaching the unbanked and bringing them under formal financial services has become a policy concern in many developing countries. Due to the lack of financial accounts, unbanked people prefer informal, risky, and inconvenient mechanisms for receiving, sending, and transferring money. Previous studies rely much on common interventions like no account maintenance and opening fees, easy documentation processes, and money subsidies for opening financial accounts. This study aims to examine the impact of the motivational workshop on opening savings accounts through causality among the unbanked people in a setting where the respondents are unbanked despite having all the requirements and many institutional offers to open savings accounts. We encouraged the unbanked people through a one-hour-long motivational workshop to open savings accounts. Based on our cross-sectional data and randomized controlled trial experiment among the 505 unbanked rural people at Dhubil union under Sirajganj in Bangladesh, we have evidence that motivational workshop positively impacts opening accounts by 32.33 percent. However, the account opening rate differs in terms of respondent’s preference for financial institutions. Our study also finds that unbanked people have the highest preference for mobile financial services for opening accounts resulting in 15.33 percent. The result of this study has some policy implications for adopting effective strategies for universal financial access in many developing countries.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040150
Authors: Mahfod M. Aldoseri Maged M. Albaz
This research aims to broaden the understanding of the determinants of climate change disclosure, where the study analyzes the impact of corporate business strategy and Chief Executive Officer (CEO) overconfidence on the level of climate change disclosure. The study followed a mixed-methods approach that combines quantitative and qualitative techniques to comprehensively examine the relationships used by the content analysis method to analyze the annual reports of a sample of Saudi companies for the period from 2019 to 2022 to measure the level of disclosure of practices related to climate change. The results of the study show that the companies that tend to adopt the initiative strategy provide more information about climate change than the defending companies do, while the CEO’s overconfidence does not affect the level of climate change disclosure. The results of the study indicate that the nature of the strategic direction adopted by the company is more important in determining the motives for disclosing climate change information than the personal characteristics of management.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040148
Authors: Ali Shaddady
This research explored the relationship between financial development and economic growth in the MENA region from 1996 to 2022. Using panel data, it assessed whether financial institutions and financial markets had differing impacts on economic growth. Various statistical methods, including OLS, GMM, quantile, and U-tests, were employed to analyze this correlation. Our findings revealed a nonlinear relationship between financial development (institutions and markets) and economic growth, characterized by an inverted U-shaped curve. This relationship was influenced by the MENA region’s limited financial regulations and the “vanishing effect”. Financial institutions were found to have an insignificant impact on economic growth but played a role in constraining it. Conversely, financial markets significantly contributed to growth initially, but this effect diminished over time, eventually turning negative. Additionally, this research highlighted the positive influences of liquidity and exports on economic growth, while noting that the rule of law and political stability had adverse effects.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040149
Authors: Epameinondas Katsikas Nikiforos T. Laopodis Konstantinos Spanos
This paper investigates the dynamic stability of public debt and its solvency condition in the face of crisis periods (1980–2021) in a sample of 11 euro-area countries. The focus is on the feedback loop between the dynamic stability of public debt and interest rates, discounted by economic growth, in conjunction with budget deficits during tranquil and turbulent periods. Using the GMM panel dynamic model, the results show that dynamic stability was the case before the global financial crisis (GFC), while from GFC to the pandemic, dynamic instability prevailed and persisted in the evolution of public debt. Furthermore, panel threshold estimates show that dynamic instability of debt starts to violate the solvency condition when the borrowing cost is above 3.29%, becomes even stronger when it is above 4.39%, and exerts even more pressure when the level of debt is greater than 91%. However, the debt sustainability condition reverses course when economic growth is higher than 3.4%. The main policy implication drawn from the results is that low interest rates can create a self-reinforcing loop of high debt, which itself is a serious matter for public authorities when designing economic policies.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040147
Authors: Fei Su Lili Zhai Jianmei Liu
This study examines whether and how risk disclosures in Management Discussion and Analysis (MD&A) affected the stock price crash risk of China’s publicly listed firms over the period of 2017–2021. The empirical results show that risk disclosures within the MD&A section are significantly and negatively associated with the future stock price crash risk, even after controlling for a broad set of well-known factors of crash risk. Additional tests revealed that the impact of MD&A risk disclosures on the stock price crash risk is accentuated when the MD&A disclosure contains more incremental information. The negative association between MD&A risk disclosures and stock price crash risk is also more pronounced for firms with poorer information environments, for firms with weaker external monitoring, and for firms with more investor attention. Our findings are robust to alternative measures of the stock price crash risk, controlling for firm-fixed effects and endogeneity issues, and excluding certain samples. The results indicate that MD&A risk disclosures could help alleviate information asymmetry and mitigate stock price crash risk.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040146
Authors: Mathias Mandla Manguzvane Sibusiso Blessing Ngobese
The accelerated growth and interconnectedness of financial institutions and movement towards products and activities outside the regulatory purview have been met with huge concerns. South Africa is one of the emerging economies that this conundrum has beset. Any potential instability in the financial sector likely poses insurmountable consequences and unprecedented government intervention, especially given that the country currently has no deposit insurance scheme. Although it is easy to justify the channels through which banks contribute to destabilising financial markets, it remains a controversial issue for insurers and other non-banking institutions. This study aims to empirically quantify the contribution of banks and insurers to aggregate the systemic risk of their respective industries by employing the component expected shortfall (CES). The CES is a robust quantitative systemic risk measure that allows for a comprehensive assessment of systemic risk by considering the contributions of individual financial components. Our findings demonstrate that the rankings from the CES framework are closely aligned with the regulatory D-SIB surcharges of the banking entities included in the study. The close alignment of both approaches is primarily due to the consideration of the size of an institution, amongst other factors.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040145
Authors: Gui Ren Tao Meng
This paper proposes two data-driven models (including LSTM pricing model, WGAN pricing model) and an improved model of LSM based on GAN to analyze the pricing of convertible bonds. In addition, the LSM model with higher precision in traditional pricing model is selected for comparative study with other pricing models. It is found that the traditional LSM pricing model has a large error in the first-day pricing, and the pricing function needs to be further improved. Among the four pricing models, LSTM pricing model and WGAN pricing model have the best pricing effect. The WGAN pricing model is better than the LSTM pricing model (0.21%), and the LSM improved model (1.17%) is better than the traditional LSM model (2.26%). Applying the generative deep learning model GAN to the pricing of convertible bonds can circumvent the harsh preconditions of assumptions, and significantly improve the pricing effect of the traditional model. The scope of application of each model is different. Therefore, this paper proves the feasibility of the GAN model applied to the pricing of convertible bonds, and enriches the pricing function of derivatives in the financial field.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040144
Authors: Rafaela Dezidério dos Santos Rocha Márcio Laurini
The multifactor asset pricing model derived from the Fama–French approach is extensively used in asset risk premium estimation procedures. Even including a considerable number of factors, it is still possible that omitted factors affect the estimation of this model. In this work, we compare estimators robust to the presence of omitted factors in estimating the risk premium in the Brazilian market. Initially, we analyze the panel of asset returns using the mean group and common correlated effect estimators to detect the presence of omitted factors. We then compare the results with those obtained by a estimator robust to omitted variables, which uses a principal components approach to correct the estimation in the case of the omission of latent factors. We conclude that there is evidence of omitted factors, and the best predictor for the expect returns is the common correlated effects estimator.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040143
Authors: Kamal P. Upadhyaya Raja Nag Franklin G. Mixon
India is among the largest and fastest-growing economies in the world. To continue its growth, energy is and will continue to be one of its most important considerations. With a population of over one billion, India is the third largest consumer of petroleum on the globe. To maintain this ranking, India imports a large percentage of its total oil consumption. Given India’s current position as a large importer of oil, how does oil price volatility affect the Indian economy? This paper examines the effect of oil price volatility on inflation, economic growth, and the stock market in India. Statistical tests suggest that the overall price level, the real effective exchange rate, and oil prices are negatively related to aggregate output in the long run. Granger causality test results derived from a vector error correction model support bidirectional causality between oil prices and aggregate output, indicating that a change in oil prices also affects aggregate output in the short run.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040142
Authors: Shailesh Rastogi Geetanjali Pinto Amit Kumar Pathak Satyendra Pratap Singh Arpita Sharma Souvik Banerjee Jagjeevan Kanoujiya Pracheta Tejasmayee
The purpose of this study is to determine if the impact of transparency and disclosure (TD) levels on shareholders’ current income (dividends) is moderated by technical efficiency (te) and profitability. The study employs econometrics on panel data from 78 BSE-listed enterprises across the 2016–2020 sample period. This conclusion suggests that when TD grows, dividends tend to drop initially, but above a certain threshold level, growing TD levels lead to increased payouts. Furthermore, dividends are adversely associated with the moderating variable “te” in terms of both constant and variable return to scale. On the other hand, moderation by profitability was shown to have a substantially favourable effect on dividends. According to this study, a company’s dividend policy is influenced by its TD levels, which are controlled by its efficiency and profitability. Developing a TD index provides more information on the efficacy of the corporate governance (CG) system. The study’s distinctiveness lies in examining the relationships between transparency, disclosures, and these aspects as they relate to profitability, efficiency, and dividend distribution choices to ascertain whether the companies’ operating effectiveness and financial success matter in this circumstance. The study’s practical and policy implications relate to societal repercussions, which include encouraging more openness and responsibility in business practices, thereby increasing confidence and accountability in decisions about dividend distribution, regardless of efficiency and profitability. The study’s originality is in examining how profitability, efficiency, and dividend distribution decisions relate to transparency and disclosures to determine if companies’ operating efficiency and financial success matter in this situation.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040141
Authors: Razan Nayef Almashaqbeh Hashem Alshurafat Hamzeh Al Amosh
This study aims to provide an understanding of the impact of professionalism theory constructs on the applicability of forensic accounting services, as well as reviewing the obstacles to implementing the profession of forensic accounting through a literature review. The accounting side of the study explores the profession of forensic accounting and the sociological side of the study will focus on professionalism theory, more specifically Pavalko’s 1988 model. A quantitative method was used in this study; 154 questionnaires from Certified Public Accountants (CPAs) were validated and used in the data analysis. Data analysis was conducted using SmartPLS, which was used for testing the study’s hypotheses. The results demonstrated that the professionalism theory constructs have a significant impact on the applicability of forensic accounting services. There was an indication that six out of eight constructs had a positive impact, which are, code of ethics, commitment, intellectual technique, motivation, training, and relevance to social values, leaving only autonomy and sense of community with no impact shown. This study recommends that forensic accountants and practitioners contribute to developing the profession of forensic accounting and to provide services with high quality. The study’s significant constructs can inform the development of training programs for aspiring forensic accountants in Jordan, emphasizing ethics, commitment, technical expertise, motivation, training, and social values. These findings may also apply to other countries.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040140
Authors: Romeo Victor Ionescu Costinela Fortea Monica Laura Zlati Valentin Marian Antohi
Since we are living in a time of multiple crises and geopolitical unrest, it is important to look at how monetary aggregates affect the real economy. This will help us figure out how uncertainty affects the economy and come up with more stable financial and monetary policy measures, especially for EU member states that are not in the euro area. This study aims to determine a dynamic structured monetary policy model, using information from the literature and the study of the evolution of financial elements of macroeconomic aggregates in a non-euro area Member State (Romania). The methods consist of an empirical study of causality in the monetary aggregates in the literature and an analytical approach to the consolidation of dynamic databases over a period of 16 years (2007–2022) and its statistical modeling. This research will examine the impact of uncertainty on Romania’s monetary policy over the period and how this uncertainty alters the dependence relationships between monetary policy indicators and derivatives of the GDP deflator. The results of the two-step modeling, respectively, for the periods 2007–2019 and 2007–2022, will highlight via a comparison the vulnerabilities induced by periods of uncertainty and pandemics on the evolution of monetary policy indicators and will be useful to financial decision makers in correcting monetary policy elements based on the vulnerability picture instrumented as a result of analysis and modeling. The novelty of this study lies in the multidisciplinary and dynamic approach to the evolution of monetary policy indicators and the construction of the dynamic structured model, which is a useful tool for assessing the vulnerability status of a EU Member State economy outside the euro area under uncertainty.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040139
Authors: Lenka Vyrostková Jaroslava Kádárová
This article examines the impact of the macroenvironment on enterprises in euro-area countries over the period 2006–2020. Our study builds on important works and theories in the field of business, including the work of Kar and Özsahin. We employ the Panel Least Squares method to estimate the coefficient of selected variables. We identify political, institutional (government effectiveness index, regulatory quality index, rule of law, market capitalization of company, control of corruption, political stability and absence of violence) and financial (financial development index, gross domestic product, inflation rate, unemployment rate, public debt) determinants that can have an effect on entrepreneurship. The article aims to fill a gap in the existing literature by providing new insights from the Eurozone and updated data that were not included in previous literature reviews and studies. In this way, we contribute to expanding knowledge about the relationship between macroeconomic factors and entrepreneurial activities in this specific geographical area, considering the lack of current analyses. According to our results, there is a positive statistically significant relationship between entrepreneurship and gross domestic product per capita, regulatory quality index, and market capitalization of the company and a negative statistically significant relationship between entrepreneurship and rule of law, and public debt.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040138
Authors: Osvaldo Massicame Helena Coelho Inácio Maria Anunciação Bastos
The function of the external audit, largely as a result of the scandals and financial crises that have occurred, has been the subject of debate and criticism. This aspect has fostered discussions around the Audit Expectation Gap, which, in short, is understood as the differences in expectations between the audit’s results and what is expected from it. In this context, the present study aimed to evaluate the existence of the Audit Expectation Gap in the external audit of banks in Mozambique. For this purpose, auditors, regulators/supervisors, managers and financial staff from banks and companies were surveyed. The results showed statistically significant differences in the opinions of respondents regarding matters related to the scope and objective of the audit, materiality and risk, and different aspects of responsibility. Thus, evidence was obtained that, in addition to reviewing audit regulations for Mozambican credit institutions and financial companies, there is a need for clarification of matters such as the level of security in external audits (which cannot be absolute); the responsibilities of management and auditors in areas such as assessing and reporting compliance with the ratios and prudential limits imposed by the Bank of Mozambique; assessing the suitability of risk management at the bank; and the prevention, detection and reporting of fraud.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040137
Authors: Gui Ren Zhenxian Huo Jingjing Wang Xihe Liu
In order to help enterprises to achieve high-quality development and improve the capital market regulatory policies by supporting with more factual basis from China, this paper conducts research on clarifying impact mechanism of digital transformation on M&A efficiency of listed companies. Taking the mergers and acquisitions of listed companies from 2007 to 2021 as a research sample, the influence mechanism of the digital transformation degree of companies on their M&A efficiency was studied. The research results show that the digital transformation of listed companies will improve their M&A efficiency. Digital transformation will reduce the degree of mispricing stocks of M&A companies, curb conflicts between managers and agents of M&A companies, and improve their M&A efficiency. Further research finds that the promotion effect of digital transformation on M&A efficiency is more significant in non-state-owned companies, with a higher degree of financing constraint and high analyst attention. In the future, regulatory authorities should actively promote the digital transformation of listed companies, curb mispricing and management agency problems in the capital market with digital governance, and improve the efficiency of mergers and acquisitions in the capital market. This paper not only provides a more factual basis on concrete case from China but also enriches the related empirical analysis on corporate digital transformation and M&A efficiency.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040136
Authors: Davinder K. Malhotra Tim Mooney Raymond Poteau Philip Russel
In this study, we provide a comprehensive examination of the performance of financial (specialty sector financial) mutual funds over a 23-year period, a much longer time frame than what has been analyzed in previous literature. To fully understand the performance of these mutual funds, we consider multiple factors, including risk-adjusted performance, both unconditional and conditional multifactor analysis, and market timing and selectivity. Financial mutual funds have higher risk-adjusted performance than the overall market and financial sector benchmarks. However, fund alphas are not different from zero, and managers do not exhibit market timing or security selection abilities. Our analysis not only includes the overall performance of these mutual funds, but we also delve into sub-samples before and after the 2008 financial crisis and during the recent Coronavirus pandemic.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040135
Authors: Muhammad Fauzan Heri Kuswanto Christiono Utomo
Having effective and efficient financing is one of the most critical steps in accelerating public infrastructure development, including toll roads. This study aims to identify critical success factors (CSFs) for implementing toll infrastructure financing in Indonesia. Thirty-three CSFs have been identified from the literature review. A Delphi survey was conducted involving a panel of experts in the infrastructure industry. Based on the survey, it is known that the internal rate of return, affordability, investment decisions, commercial banks, financing costs, interest rate risk, control of cash flow, contract scope, and principles of risk transfer are important factors for implementing toll infrastructure financing in Indonesia. This study fills research gaps by developing a CSF model for successful toll road infrastructure financing in Indonesian PPPs, considering private perspectives and aiming to provide insights for investors and enhance understanding of country profiles in developing countries. The focus on toll road implementation in Indonesia contributes to a comprehensive understanding of CSFs for PPPs in the country.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040134
Authors: Willem Thorbecke
Inflation in 2021 and 2022 grew much faster than the Federal Reserve expected. The Fed downplayed inflation in 2021 and then increased the federal funds rate by 500 basis points between March 2022 and May 2023. This paper investigates how this unprecedented tightening has impacted the stock market. To do so, it estimates a fully specified multi-factor model that measures the exposure of 53 assets to monetary policy surprises over the 1994 to 2019 period. It then uses the monetary policy betas to gauge investors’ beliefs about monetary policy between 2020 and 2023. The results indicate that changing perceptions about monetary policy multiplied uncertainty and stock market volatility.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040133
Authors: Kim Long Tran Hoang Anh Le Cap Phu Lieu Duc Trung Nguyen
Financial bubble prediction has been a significant area of interest in empirical finance, garnering substantial attention in the literature. This study aims to detect and forecast financial bubbles in the Vietnamese stock market from 2001 to 2021. The PSY procedure, which involves a right-tailed unit root test to identify the existence of financial bubbles, was employed to achieve this goal. Machine learning algorithms were then utilized to predict real-time financial bubble events. The results revealed the presence of financial bubbles in the Vietnamese stock market during 2006–2007 and 2017–2018. Additionally, the empirical evidence supported the superior performance of the random forest and artificial neural network algorithms over traditional statistical methods in predicting financial bubbles in the Vietnamese stock market.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040132
Authors: Diana Escandon-Barbosa Jairo Salas-Paramo José Luis Duque
This research aims to analyze the triple moderating effect of the board of directors in the country culture of a firm and its influence on the relationship between organizational innovation and organizational learning in corporate sustainability. A survey of 400 exporting companies of different commercial products from Colombia, Peru, Ecuador, and Bolivia was used to carry out this research. We used the structural equations model to explore the analysis of the causal and moderation relationships between the variables under study. As a result, it was found that the influence of the board of directors of a firm is essential for innovation processes because they drive their results to corporate sustainability. This last approach is due to the strategic approach adopted by large companies. In the case of SMEs, it was not possible to demonstrate that the board of directors has such a degree of influence. In the case of the moderating effect of the board of directors on the country’s culture, it was possible to observe that the board of directors becomes a factor in the firm’s performance despite its geographical location, which determines the influence of culture on its operation in corporations such as SMEs.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040131
Authors: Hyunjung Choi
This study investigates how a company’s internal control team affects their investment decision making, considering the level of industry competition within the South Korean capital market. A model obtained from the literature was employed to test the hypothesis. When industry competition is low, the quantitative adequacy of internal control staff increases the likelihood of investment when the risk of underinvestment is high, and it decreases the likelihood of investment when the risk of overinvestment is high. However, this is not the case when industry competition is fierce. Qualitative adequacy of internal control staff—expertise—has a significant effect on investment decision making when industry competition is high, but has no significant effect when industry competition is low. These results suggest that investors should consider the quantitative and qualitative adequacy of internal control staff along with the level of industry competition when evaluating the investment efficiency of a company.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040130
Authors: Maashele Kholofelo Metwane Daniel Maposa
Financial market data are abundant with outliers, and the search for an appropriate extreme value theory (EVT) approach to apply is an endless debate in the statistics of extremes research. This paper uses EVT methods to model the five-year daily all-share total return index (ALSTRI) and the daily United States dollar (USD) against the South African rand (ZAR) exchange rate of the Johannesburg stock exchange (JSE). The study compares the block maxima approach and the peaks-over-threshold (POT) approach in terms of their ability to model financial market data. The 100-year return levels for the block maxima approach were found to be almost equal to the maximum observations of the financial markets of 10,860 and R18.99 for the ALSTRI and the USD–ZAR, respectively. For the peaks-over-threshold (POT) approach, the results show that the ALSTRI and the USD–ZAR exchange rate will surpass 17,501.63 and R23.72, respectively, at least once in 100 years. The findings in this study reveal a clear distinction between block maxima and POT return level estimates. The POT approach return level estimates were comparably higher than the block maxima estimates. The study further revealed that the blended generalised extreme value (bGEVD) is more suitable for relatively short-term forecasting, since it cuts off at the 50-year return level. Therefore, this study will add value to the literature and knowledge of statistics and econometrics. In the future, more studies on bGEVD, vine copulas, and the r-largest-order bGEVD can be conducted in the financial markets.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040129
Authors: Madiha Afzal
The Pakistani banking sectors facing numerous challenges because of poor internal audit quality. Internal audit quality has long been a source of contention. The current study examines the factors that affect internal audit quality in Pakistani commercial banks. Internal audit quality evaluated through potential factors such as competence, objectivity, performance, board audit committee support, and independence. Along with these factors, a questionnaire designed to determine the nature of the problems confronting Pakistani commercial banks. 102 questionnaires disseminated among the chief internal auditor, chief financial officer, board audit committee, and managers of 26 listed commercial banks. The impact of the factors on internal audit quality investigated using a binary logit regression model and multiple correspondence analyses. Findings show that performance, competence, and objectivity factors are statistically positively significant that influenced internal audit quality to improve it. This research helps improve the internal audit quality in Pakistani commercial banks.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040128
Authors: Maud Korley Evangelos Giouvris
Research proposes that economic policy uncertainty (EPU) leads to exchange rate fluctuations. Given that African countries experience higher levels of uncertainty in developed/emerging markets, we examine the extent to which domestic and foreign EPU affect exchange rates for a panel of 12 ECOWAS countries covering the period 1996–2018. In order to account for non-stationarity, cross-sectional dependence, and heterogeneity, the paper employs the dynamic heterogeneous panel approach. The ECOWAS has a dual currency arrangement ranging from a common currency union (CFA) to floating exchange rates (Non-CFA). To account for this, this study splits the sample data into CFA and Non-CFA areas. In addition, this study considers the role of the global financial crisis in the exchange rate-EPU nexus. Our results show that domestic EPU has a positive effect on exchange rates in the long run for Non-CFA areas. Different from the existing literature, our results suggest that domestic EPU does not explain exchange rate fluctuations in the short run. For all countries, foreign EPU leads to appreciation in the long run and depreciation in the short run. Interestingly, foreign EPU has a more dominant effect on exchange rate fluctuations in the selected countries than domestic EPU. This may reflect the weak institutional framework in these countries, which allows external fluctuations to have a greater impact. Moreover, this could be attributed to the increase in foreign capital flows during the sample period. Thus, these countries must develop effective policies to effectively absorb these external shocks. Results are robust to different proxies of EPU.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040127
Authors: Ayodeji Michael Obadire Vusani Moyo Ntungufhadzeni Freddy Munzhelele
Financial institutions, particularly banks, have long grappled with the dilemma of structuring their capital optimally. This process, commonly referred to as capital structure decision-making, is of paramount importance, especially within the financial services sector, where strict regulations are imposed by reserve and central banks in alignment with global Basel guidelines. This study unveils the key factors that determine the capital structure choices of African banks, using panel data encompassing 45 listed banks across six nations that had embraced the Basel III Accord spanning the years 2010 to 2019. The study used the system-generalised moment methods (sys-GMM) estimator to fit the formulated panel data regression model. The study findings showed positive associations between ZSCORE, an indicator of bank financial stability, and net interest margin ratio (NIMR) with bank leverage (TCTE). In addition, the results revealed positive correlations between earnings volatility (EV), profitability (P), and risk (R) with bank leverage (TDCE). This suggests that profitable banks are inclined to favour debt financing, a phenomenon driven by their ability to comfortably service debt obligations with free cash flows. This study’s overarching conclusion underscores the dominant influence of the Liquidity Coverage Ratio (LCR) on African bank capital structures. Whether assessing traditional or Basel III-prescribed measures of bank leverage, LCR consistently emerged as the primary determinant. This finding is of significant relevance to bank executives and regulators, offering them essential insights for informed decision-making by considering striking a balance between equity and debt financing based on financial stability, profitability, and risk profiles.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040126
Authors: Dachen Sheng Heather A. Montgomery
This paper examines the determinants of bond issuance in the Chinese market and the influence of capital structure—in particular direct debt finance—on firm performance and the cost of debt. The results reveal that institutional factors in the Chinese market, in particular the involvement of the financial authority permission process during bond issuance, enhance the credibility of firms that are able to successfully issue bonds. Empirical analysis of Chinese listed manufacturing firms over the period from 2010 to 2021 demonstrates that firms with higher outstanding levels of bonds perform better and face lower costs of both bond and nonbond direct finance. We interpret this as bond issuance approval serving as a signal to markets of an implicit government guarantee on firms that are approved to issue bonds. The agency problem is analyzed using propensity-score matching and Logit analysis, revealing a trade-off between the principal–agent conflict and conflicts of interest among different shareholders when power is very concentrated through CEO duality: the CEO simultaneously serves as the chairman of the board. In large firms, as measured by total assets, the cost-reducing effect of the principal–agent problem being mitigated by CEO duality outweighs the agency costs arising from conflicts of interest between large and small shareholders, leading to an increased likelihood of successful bond issuance. However, in large firms, as measured by market capitalization, where share ownership is likely more diversified, this effect diminishes. In conclusion, this paper posits that policymakers ought to investigate strategies for granting preferential treatment to high-growth, small to mid-sized enterprises, enabling them to secure funding through direct debt financing.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040125
Authors: Wendy Wijaya Kuntjoro Adji Sidarto
Portfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A great deal of improvement in portfolio optimization models has been made, including the addition of practical constraints. As the number of shares traded grows, the problem becomes dimensionally very large. In this paper, we propose the usage of modified biogeography-based optimization to solve the large-scale constrained portfolio optimization. The results indicate the effectiveness of the method used.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040124
Authors: Tu D. Q. Le Thanh Ngo Dat T. Nguyen
Digital credit has gained much attention from academic researchers, practitioners, and policymakers worldwide. This study empirically evaluates the determinants of digital credit using cross-country data from 2013 to 2019. The conventional ordinary least square regression with fixed effects estimator is used to investigate the factors affecting the growth of digital credit. Our study highlights that the regulatory frameworks of anti-money laundering and terrorist financing, the economy’s innovative capacity, and financial development are significant factors affecting the development of digital credit, especially fintech credit. However, the findings indicate that only the innovation capacity is more critical to the expansion of bigtech credit. Nonetheless, our results provide some important implications for market participants and the authorities in promoting digital credit. Accordingly, this study contributes to the literature on the growth of digital credit when considering the critical roles of money laundering and terrorist financing frameworks and innovation capacity.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040123
Authors: Abdelkebir Sahid Yassine Maleh Shahram Atashi Asemanjerdi Pedro Antonio Martín-Cervantes
Bibliometric analysis is crucial in understanding the evolution of research trends and knowledge in various fields. This study applies bibliometric analysis to explore the growth of the research paradigm on agility in the FinTech literature, using co-citation analysis and bibliographic coupling of selected articles. Based on this bibliometric analysis, the evolution of research on agility in the FinTech domain has been prepared, focusing on the literature related to FinTech agility between 1984 and 2022. In this study, we also address the limitations of individual analyses from Scopus and Web of Science (WOS) and propose a comprehensive approach by merging the two research databases. The results reveal significant disparities between authors, publication influences, and keyword occurrences between the WOS and merged databases. Our research highlights the importance of combining a database approach in bibliometric studies, providing valuable insights for scholars, researchers, and stakeholders. Finally, the in-depth bibliometric analysis demonstrates the significance of “FinTech agility” in the rapidly evolving FinTech sector. Financial technology companies’ agility, or ability to adapt quickly, is the foundation of their success and innovation.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040122
Authors: Umar Butt Trevor William Chamberlain
This paper examines the relationship between the presence of blockholdings and stock returns and return volatility in the United Arab Emirates. Earlier studies report mixed results for the direction of the relationships across both developed and emerging markets. This study focuses specifically on these relationships in a dividend policy framework. This study further investigates the role of blockholder type by distinguishing between government, individual and corporate blockholders. Our results indicate that blockholder ownership reduces stock return volatility for both non-dividend-paying and dividend-paying stocks, does not impact returns and is not perceived as expropriating the wealth of other investors. We also conclude that the blockholders do not exhibit rent-seeking behavior through the extraction of dividends and investors in UAE firms embrace the role of blockholders and the reinvestment of profits.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040121
Authors: Lenka Stryckova
Financial decision making in family companies is a topical issue that has arisen from an awareness of the significant impact of family businesses on the economies of individual countries. This article deals with the capital structure and business performance of family firms in the Czech Republic, as there is still a significant gap in family business research and empirical verification. This study aims to investigate Czech family businesses’ corporate financing practices and compare them with population data from all active companies. The literature distinguishes between the positive and negative impacts of family ownership on capital structure and performance. Our empirical findings hypothesise that family businesses are more leveraged than non-family firms and vice versa. At the same time, a slightly positive impact from family influence on firm financial performance is indicated. This study uses descriptive statistics to detect family influence on corporate capital structure and financial performance regarding business sectors. The results of this study indicate that Czech family firms are less indebted than all/non-family businesses, and that they have proved to be more profitable in terms of ROEs and ROAs. Furthermore, significant differences in financial characteristics have been identified not just between individual business sectors but also between sample family firms and all/non-family firms within one business sector.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040120
Authors: Khaoula Benayad Mohammed Rachid Aasri
This article examines the impact of overconfidence, optimism, risk aversion, mimicry and intuition biases on the investment decisions of Moroccan SMEs managers. The study was based on a sample of 133 SMEs managers, who were randomly selected to ensure the representativeness of the results. Analysis showed that optimistic managers tend to make investment decisions more frequently, while those who are more risk-averse adopt a more cautious approach. Mimicry was also identified as an influential factor in investment decisions, with executives likely to be influenced by the choices of their peers. Furthermore, intuition bias was also identified as a positive factor in the investment decision-making process, enabling managers to capitalize on their experience and tacit knowledge for more appropriate and timely choices. However, overconfidence showed no significant effect on investment decisions. These findings have important implications for the managers of Moroccan SMEs, enabling them to better understand the factors influencing their investment decisions, and to optimize the allocation of their financial resources for the sustainable growth of their businesses.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040119
Authors: Alemu Tulu Chala
The lead arrangers of syndicated loans often have lending relationships with the borrowers, while other lenders participating in the syndicate largely engage in an arm’s length transaction. Relatively little is known about how these relationships affect the shares of syndicated loans that the lead arrangers retain in their portfolio. Using a random sample of 10,328 syndicated loans made to 7316 nonfinancial U.S. firms over the period 1987 to 2013, this paper investigates the impact of lending relationships on the shares of loans retained. The results show that lending relationships are associated with a significant reduction in retained shares. These results are robust to alternative estimation techniques, such as propensity score matching and binary endogenous treatment models, which are employed to address endogeneity concerns. Furthermore, the results provide additional evidence that the existence and strength of lending relationships lead to decreased retained shares, particularly for non-top-tier lead arrangers. Moreover, the findings also demonstrate that when lead arrangers have lending relationships with borrowers, they retain significantly smaller shares whether the loans are made to informationally opaque, small, or speculative-grade-rating firms. Overall, the findings of this paper have important implications for lenders seeking to reduce their risk exposure in syndicated loans.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040118
Authors: Ayman Hassan Bazhair Hamid Ghazi H Sulimany
This paper explores the moderating role of family ownership in the relationship between board diversity and financial performance. The study sampled data of 98 Saudi non-financial companies from 2012 to 2021. The data were analysed using fixed effect regression, while a generalised method of moments (GMM) was employed for a robustness test. The empirical evidence suggests that board gender may not have much relevance in enhancing the financial performance of Saudi firms. In contrast, the research findings emphasised that coupled with stringent monitoring from family ownership, foreign directorship, CEO tenure, and board financial expertise may serve as crucial control mechanisms that can minimise agency costs, leading to higher financial performance. This research modelled how the interaction between family ownership and board diversity attributes may determine financial performance. Hence, the study contributes to the body of knowledge by unveiling a more robust control governance mechanism, particularly in developing economies with ineffective markets for corporate controls.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040117
Authors: Sumeet Lal Abdul-Salam Sulemana Trinh Xuan Thi Nguyen Mostafa Saidur Rahim Khan Yoshihiko Kadoya
Although the traditional sources of financial knowledge in Japan are financial advisors and investment groups, the digital era and artificial intelligence have made other sources of information, such as social media and mass media, more influential. As such, it has become important to examine the socioeconomic, demographic, and psychological factors influencing the use of these information sources in the context of investment decisions. However, little research has been carried out to examine such associations using a large-scale nationwide dataset. We fill this gap by utilizing a dataset comprising almost 65,000 active investors from one of the largest online security companies in Japan, ensuring the representativeness and generalizability of our results. We show that active investors are more inclined to use social media and mass media than financial advisors and investment groups. The probit regression model shows that the use of each of the four sources of information is strongly shaped by an individual’s characteristics, which, to some extent, are not mutually exclusive for each source type. The study results imply that the government should regulate and monitor the quality and accuracy of the information disseminated by mass media and social media and educate investors on how to critically evaluate and verify the information that they receive.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11040116
Authors: David Maloney Sung-Chul Hong Barin Nag
Economic disruptions can alter the likelihood of defaults on peer-to-peer loans, causing those impacted to adjust. The option to declare economic hardship and temporarily reduce the payment burden can provide some relief. When this occurs, the borrower’s financial qualifications have changed. The qualities instrumental in successfully securing the original loan terms must be reanalyzed to manage risk. This is a critical point in the life of the loan because the declaration of financial hardship can signal that the borrower’s ability to repay has diminished. We present a novel default detection scheme for borrowers experiencing an economic disruption based on the Two-Class Support Vector Machine, a data classification algorithm for supervised learning problems. The method utilizes data from actual loan records (15,355 loans from 2016 through 2020), specifically from borrowers who declared economic hardship. We provide a detailed description of the default detection process and present results that show defaults among borrowers experiencing financial hardship can be predicted accurately.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030115
Authors: Fadi Shehab Shiyyab Abdallah Bader Alzoubi Qais Mohammad Obidat Hashem Alshurafat
This study determines to what extent Jordanian banks refer to and use artificial intelligence (AI) technologies in their operation process and examines the impact of AI-related terms disclosure on financial performance. Content analysis is used to analyze the spread of AI and related information in the annual report textual data. Based on content analysis and regression analysis of data from 115 annual reports for 15 Jordanian banks listed in the Amman Stock Exchange for the period 2014 to 2021, the study reveals a consistent increase in the mention of AI-related terms disclosure since 2014. However, the level of AI-related disclosure remains weak for some banks, suggesting that Jordanian banks are still in the early stages of adopting and implementing AI technologies. The results indicate that AI-related keywords disclosure has an influence on banks’ financial performance. AI has a positive effect on accounting performance in terms of ROA and ROE and a negative impact on total expenses, which supports the dominant view that AI improves revenue and reduces cost and is also consistent with past literature findings. This study contributes to the growing body of AI literature, specifically the literature on AI voluntary disclosure, in several aspects. First, it provides an objective measure of the uses of AI by formulating an AI disclosure index that captures the status of AI adoption in practice. Second, it provides insights into the relationship between AI disclosure and financial performance. Third, it supports policymakers’, international authorities’, and supervisory organizations’ efforts to address AI disclosure issues and highlights the need for disclosure guidance requirements. Finally, it provides a contribution to banking sector practitioners who are transforming their operations using AI mechanisms and supports the need for more AI disclosure and informed decision making in a manner that aligns with the objectives of financial institutions.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030114
Authors: Ali Mahmoud Alrabei
The purpose of this research is to examine the impact of green electronic auditing on accounting information reliability and the mediating role of cloud computing in the Jordanian Social Security Corporation. A survey of 500 employees in the Jordanian Social Security Corporation was used to gather data, with a response rate of 31.4% (157 employees). The researcher used structural equation modeling to investigate the connections between cloud computing, auditing on data processing processes, auditing the inputs, auditing the outputs, prior auditing on inputs, and accounting information reliability. The findings revealed that auditing data processing activities, auditing outputs, cloud computing, and earlier auditing on inputs all have a substantial impact on accounting information reliability. However, auditing the inputs and the link between cloud computing and accounting information reliability were not significant. This study’s conclusions have ramifications for policymakers and auditing and accounting practitioners. The Jordanian Social Security Corporation must consider the significance of adequate auditing methods to assure correct accounting information, particularly in the context of cloud computing. This report also highlights the need for more research on the influence of cloud computing on accounting and auditing processes in underdeveloped countries.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030113
Authors: Nassar S. Al-Nassar
This study contributes to the ongoing debate on the size effect and size-based investment styles by investigating the return and volatility spillovers and time-varying conditional correlations among Saudi large-, mid-, and small-cap indices. To this end, we utilize the weekly returns on the MSCI Saudi large-, mid-, and small-cap indices over a long sample period, spanning several crises. The econometric approach that we use is a VAR-asymmetric BEKK-GARCH model which accounts for structural breaks. On the basis of the VAR-asymmetric BEKK-GARCH model estimation results, we calculate portfolio weights and hedge ratios, and discuss their risk management implications. The empirical results confirm the presence of unilateral return spillovers running from mid- to small-cap stocks, while multilateral volatility spillovers are documented, albeit substantially weakened when accounting for structural breaks. The time-varying conditional correlations display clear spikes around crises, which translate to higher hedge ratios, increasing the cost of hedging during turbulent times. The optimal portfolio weights suggest that investors generally overweight large caps in their portfolios during uncertain times to minimize risk without lowering expected returns. The main takeaway from our results is that passively confining fund managers to a particular size category regardless of the prevailing market conditions may lead to suboptimal performance.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030112
Authors: Maaz Khan Mrestyal Khan Umar Nawaz Kayani Khurrum Shahzad Mughal Roohi Mumtaz
This study investigates the returns spillovers across the equity markets of Asian emerging economies (China, India, Indonesia, Malaysia, Pakistan, Philippines, South Korea, Taiwan, and Thailand). To achieve this objective, we used two different spillover methodologies (DY 2012 and BK 2018). Moreover, this study used the daily closing prices of equity indices ranging from 5 January 2005 to 13 November 2021. The empirical findings revealed that the total spillover index using DY 2012, and the short-term frequency index using BK 2018, are close to each other, with values of 46.92% and 43.04%, respectively. However, the spillover index value is high, with a value of 56.25% in the long run. Furthermore, the results showed that the stock markets of South Korea and Taiwan are the major spillover transmitters in the Asian emerging markets. Also, the financial association among all emerging Asian equities is at its peak, subject to the mobility of cash flows across the global economies. The results of this study provide meaningful insight for policymakers and investors to implement an effective strategy to overcome the possible influence of any financial crisis in the future. Our paper provides a potential contribution to the financial literature by examining the transmission of spillovers across the Asian emerging stock markets. Furthermore, it provides in-depth information regarding stock market interdependence.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030111
Authors: Likittanawong Supawat Leemakdej Arnat
Studies that quantify the price impact of the information in corporate press releases and news articles mainly focus on quantitative news, such as earnings announcements, dividends, and financial performance-related events, but leave out other corporate news events. Those that do so generally focus on one source of information and do not compare the price impacts from different information sources. Our study aimed to extend previous studies by quantifying and comparing market reactions to corporate press releases and news articles across different news categories. We classified and categorized 100,960 news items, encompassing 26,546 corporate press releases and 74,414 news articles, of 615 firms in the Stock Exchange of Thailand between 1 January 2017 and 31 December 2019. These news items were classified into categories based on the information contained in corporate press releases and news articles. We then studied the market reactions to these news categories. We found that the price impact from corporate releases is sustained for both positive and negative news categories. Our results also show that the positive price impact for news reported by the media tends to reverse, consistent with prior studies. In contrast, the negative price impact from news articles holds; this result differs from previous studies. Our data also show that managers tend to leak and recycle good news while the release of bad news is delayed.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030110
Authors: Patience Chew Yee Cheah Yue Yang Boon Giin Lee
The class imbalance problem in finance fraud datasets often leads to biased prediction towards the nonfraud class, resulting in poor performance in the fraud class. This study explores the effects of utilizing the Synthetic Minority Oversampling TEchnique (SMOTE), a Generative Adversarial Network (GAN), and their combinations to address the class imbalance issue. Their effectiveness was evaluated using a Feed-forward Neural Network (FNN), Convolutional Neural Network (CNN), and their hybrid (FNN+CNN). This study found that regardless of the data generation techniques applied, the classifier’s hyperparameters can affect classification performance. The comparisons of various data generation techniques demonstrated the effectiveness of the hybrid SMOTE and GAN, including SMOTified-GAN, SMOTE+GAN, and GANified-SMOTE, compared with SMOTE and GAN. The SMOTified-GAN and the proposed GANified-SMOTE were able to perform equally well across different amounts of generated fraud samples.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030109
Authors: Azlan Shah Abdul Latif Noor Azman Ali Zahira Ishan Nor Siah Jaharuddin Rohail Hassan Adibah Abdul Latif
Much research has been carried out to discover partnership critical success factors that influence public-private partnership success. Since most public-private partnership projects are long-term in nature and include contractual arrangements, there is still a lot to learn about contract governance’s role in public-private partnership performance. Therefore, this study examines the effect of contract governance on the relationship between partnership critical success factors and partnership performance in Malaysia. Stakeholder Theory serves as the underpinning theory for this study. This study employed a quantitative method based on the positivist paradigm to distribute questionnaires. The information was collected from 261 contracting parties’ officials in Malaysian public-private partnership projects regulated by the Malaysian Public-Private Partnership Unit, and a stratified random sampling method was employed. The structural equation model analysis found that eight out of ten hypotheses were supported. According to this study, it has been established that contract governance has a direct favorable influence on partnership performance. However, it is also found that contract governance does not moderate the relationship between partnership critical success factors and partnership performance. Due to time constraints and the emergence of the COVID-19 pandemic, this study was from a cross-sectional viewpoint and adopted a quantitative methodology. The findings of this study are important in the contract governance and partnership performance literature, providing policymakers and concessionaires with new information on the impact of contract governance on public-private partnership project performance. Managers of public-private partnership projects should also be able to enhance their projects’ performance by understanding how contract governance influences the performance of their projects.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030108
Authors: Fathi Rufaidah Tuti Karyani Eliana Wulandari Iwan Setiawan
Technological developments, especially in the financial sector, are slowly changing the financial industry through digitalization towards fintech. The application of fintech has been introduced to Indonesia in the last few years; however, the existence and development of fintech in Indonesia still needs to be studied further. This review provided a comprehensive overview of farmer technology accessibility, fintech preferences, fintech application impacts, fintech application problems, and challenges in the future. The review data are taken from the primary and secondary data related to fintech from numerous publications in Google Scholar, the interview of Indonesian farmers, and Indonesian Government data, including the Central Statistics Agency. This study confirmed that a fintech provider has been developed in Indonesia. The farmers’ accessibility to fintech was different between urban and rural areas due to the farmers’ education levels and the availability of the infrastructure. Fintech can provide practicality, ease of access, comfort, and cost-effectiveness, and can solve existing problems in Indonesian society. However, several problems arise, including infrastructure and internet access that is less supportive, as well as a lack of education, competent workers, and regulation. Agricultural fintech is a promising business in the future, despite the many challenges that need to be overcome for a stronger agricultural sector.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030107
Authors: Natthawut Wangwan Arnat Leemakdej
Previous studies have overlooked hidden ownership in their analysis, which could result in biased findings. This research utilizes unique data sources to uncover hidden ownership patterns and employs ordinary least square regression to investigate the relationship between hidden ownership and firm performance. The findings indicate that hidden ownership affects a firm’s performance, but not in the same manner as previously thought. Firms with hidden ownership actually perform better than those without. These results contradict the belief that hidden ownership leads to wealth expropriation from minority shareholders and negatively impacts a firm’s performance. The study also remains robust after accounting for potential endogeneity using an instrumental variable approach. The findings provide policy implications and contribute to the ownership and firm performance literatures.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030106
Authors: José-Francisco Vergara-Perucich
This article presents the results of a bibliometric review of the study of real estate bubbles in the scientific literature indexed in Web of Science and Scopus, from 2007 to 2022. The analysis was developed using a sample of 2276 documents, which were reviewed in R software and analyzed with the assistance of the Bibliometrix package of the same software. The results indicate that there has been considerable productivity on the topic of real estate bubbles since 2007, with an emphasis on housing price formation processes and the social effects when bubbles burst. The authors found that there were not many case studies located in Latin America or Africa, nor were there approaches with advanced predictive modeling techniques using machine learning or artificial intelligence. The article provides an understanding of the state of the art in real estate bubble research and situates new research in front of the influential literature previously published.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030105
Authors: Phuong Lan Le Anh Tuan Do Anh Ngoc Pham
This study focused on testing the existence of an apartment price bubble in Hanoi (Vietnam) and on determining the factors that affected it in the period between 2010 and 2021. Using the fundamental factor approach, the authors applied VAR regression using time series data. Specifically, we used the ADF unit test to test the stationarity of the variables based on the following criteria: AIC (Akaike information criterion); LR (likelihood ratio); FPE (final prediction error); HQ (Hanan–Quinn information criterion); and Schwarz (SC) to find the optimal lag (Lag) for the model. We also applied the Granger causality test to determine the correlation between the economic variables that appeared in the model with the PR index. We present the results of the research model through the push–response function and the variance decomposition to consider and evaluate the impact of the PR index shock on itself and the other variables. The literature in this field includes many studies that are similar to this one; however, no research has been conducted that has focused on analysing whether variables, such as per capita income and the urbanisation rate, influence the formation of real estate bubbles. This focus is especially relevant in Hanoi, which is an important part of the Vietnamese real estate market. Through this study, we aimed to fill this gap and to contribute to the references on the Hanoi real estate market and its influencing factors.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030104
Authors: Miloš Milosavljević Željko Spasenić Jovan Krivokapić
Participatory budgeting has been advocated as an advanced tool of civic participation and a travelling innovation for more than three decades. This paper provides a bibliometric review of the concurrent body of knowledge on participatory budgeting (PB), explaining how this democratic innovation ‘travelled’ through time and over different scientific fields. This study was based on a dataset of 396 papers on PB published from 1989 to January 2023. The study finds that research in PB has reached its peak of scholarly attention in pre-COVID-19 pandemic years. The study also finds that the research on PB has migrated from the field of political science to other fields, such as economics, management science, law, urban planning, environmental science, and technology.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030103
Authors: Kamakshi Sharma Tusharika Mahna Sonali Jain Sanjay Dhir Neeta Rao Achin Biyani Himanshu Sikka Rishit Yadav Sidharth Dua Archish Gupta
A partial risk guarantee (PRG) is one of the critical instruments in the blended finance approach that provides partial assurance to the risk investor to lend leveraged capital to the borrower. Under the PRG scheme, philanthropic capital is employed as a risk guarantee to create financial and economic additionality through the multiplier effect. This study examines the current trends in PRG and blended finance ecosystem research. This study also aims to identify future research areas to work upon. The bibliometric analysis highlights the need and advantages of blended finance and PRG. The study highlights themes, such as climate finance, SDGs, impact investments, and blended finance/PRGs, from the literature on blended finance. This study illustrates the impact for researchers and managers regarding the future direction to undertake and the domains where PRG can work wonders. The research allows for a comprehensive view of the leading trends, such as utilising blended finance tools such as PRG in funding the work in climate financing, SDGs, water, sanitation, and impact investment. This is perhaps the first study to conduct a bibliometric analysis of the developing area of blended finance partial risk guarantee literature to highlight its importance and advantages.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030102
Authors: Sin-Huei Ng Yunze Yang Chin-Chong Lee Chui-Zi Ong
As opposed to developed markets, financing constraints are a more pressing issue among Small and Medium-Sized Enterprises (SMEs) in emerging markets. We explore the severity of financing constraints on SMEs, and examine the role of supply chain finance (SCF) in alleviating those constraints, with the focus on a large emerging market: China. Using the panel data of SMEs listed on Shenzhen Stock Exchange from 2014 to 2020, we employ robust estimations of panel-corrected standard errors (PCSEs) and robust fixed-effects methods to analyze the issue. Our cash–cash-flow sensitivity model points out that listed SMEs in China show significant cash–cash-flow sensitivity, and financing constraints are prevalent. We document that the development of SCF has a mitigation effect on the financing constraints on the SMEs. Our robustness test with Yohai’s MM-estimator is also supportive of the main finding. Our study indicates the importance of supply chain finance development in alleviating the financing constraints on SMEs and, subsequently, supporting their sustainability journey. Overall, our findings have important policy implications for the stakeholders involved in emerging markets, and there are lessons to be learned from the Chinese experience. There is still much to be explored in the nexus of SCF and the financing difficulties of SMEs in China at present, with much of the extant literature concentrating only on specific financing mechanisms. Thus, our study fills the gap by providing a broad and comprehensive analysis of the issue.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030101
Authors: Loan Thi Vu Dong Ngoc Pham Hang Thu Kieu Thuy Thi Thanh Pham
News on the stock market contains positive or negative sentiments depending on whether the information provided is favorable or unfavorable to the stock market. This study aims to discover news sentiments and classify news according to its sentiments with the application of PhoBERT, a Natural Language Processing model designed for the Vietnamese language. A collection of nearly 40,000 articles on financial and economic websites is used to train the model. After training, the model succeeds in assigning news to different classes of sentiments with an accuracy level of over 81%. The research also aims to investigate how investors are concerned with the daily news by testing the movements of the market before and after the news is released. The results of the analysis show that there is an insignificant difference in the stock price as a response to the news. However, negative news sentiments can alter the variance of market returns.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030100
Authors: Thi Ngoc Bui Xuan Hung Nguyen Kieu Trang Pham
This research investigates the relationship between capital structure and firm value for companies listed on the Vietnamese stock market. The study utilizes data from audited financial statements of 769 companies spanning from 2012 to 2022, amounting to 8459 observations. Employing various estimation methods, such as ordinary least squares (OLS), fixed effects model (FEM), random effects model (REM), and generalized least squares (GLS), the impact of capital structure on key financial indicators, namely, return on assets (ROA), return on equity (ROE), and Tobin’s Q, is assessed. The findings indicate that the debt ratio exhibits a positive influence on ROA, ROE, and Tobin’s Q, with Tobin’s Q displaying the most pronounced impact (0.450) and ROA showing the weakest impact (0.011). However, the long-term debt ratio does not significantly affect firm value. Interestingly, both short-term and long-term debt ratios have negative effects on ROA, ROE, and Tobin’s Q, with the most substantial impact on Tobin’s Q reduction (0.562). Based on these research outcomes, the authors offer valuable recommendations to companies, investors, business leaders, and policymakers to make informed decisions in selecting an optimal and sensible capital structure.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030099
Authors: Shahid Raza Sun Baiqing Pwint Kay-Khine Muhammad Ali Kemal
The stock markets in developing countries are highly responsive to breaking news and events. Our research explores the impact of economic conditions, financial policies, and politics on the KSE-100 index through daily market news signals. Utilizing simple OLS regression and ARCH/GARCH regression methods, we determine the best model for analysis. The results reveal that political and global news has a significant impact on KSE-100 index. Blue chip stocks are considered safer investments, while short-term panic responses often overshadow rational decision-making in the stock market. Investors tend to quickly react to negative news, making them risk-averse. Our findings suggest that the ARCH/GARCH models are better at predicting stock market fluctuations compared to the simple OLS method.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030098
Authors: Tanja Verster Erika Fourie
The landscape of financial credit risk models is changing rapidly. This study takes a brief look into the future of predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine learning. As machine learning expands, it becomes necessary to understand how these techniques work and how they can be applied. The second factor is financial crises. Where predictive models view the future as a reflection of the past, financial crises can violate this assumption. This creates a new field of research on how to adjust predictive models to incorporate forward-looking conditions, which include future expected financial crises. The third factor considers the impact of financial technology (Fintech) on the future of predictive modelling. Fintech creates new applications for predictive modelling and therefore broadens the possibilities in the financial predictive modelling field. This changing landscape causes some challenges but also creates a wealth of opportunities. One way of exploiting these opportunities and managing the associated risks is via industry collaboration. Academics should join hands with industry to create industry-focused training and industry-focused research. In summary, this study made three novel contributions to the field of financial credit risk models. Firstly, it conducts an investigation and provides a comprehensive discussion on three factors that contribute to rapid changes in the credit risk predictive models’ landscape. Secondly, it presents a unique discussion of the challenges and opportunities arising from these factors. Lastly, it proposes an innovative solution, specifically collaboration between academic and industry partners, to effectively manage the challenges and take advantage of the opportunities for mutual benefits.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030097
Authors: Siniša Bogdan Natali Brmalj Elvis Mujačević
This research addresses the impact of individual investors on the cryptocurrency market, focusing specifically on the development of herd behavior. Although the phenomenon of herd behavior has been studied extensively in the stock market, it has received limited research in the context of cryptocurrencies. This study aims to fill this research gap by examining the impact of liquidity and sentiment on herd behavior using the CSAD model, considering small, medium, and large cryptocurrencies. The results show different outcomes for cryptocurrencies of different sizes, consistently demonstrating that the herding effect is more pronounced under conditions of lower liquidity, as determined by the turnover volume and liquidity ratio of cryptocurrencies. Proxy measures such as the Twitter Hedonometer and CBOE VIX were used to measure investor sentiment and show the prevalence of herding behavior in optimistic times for all cryptocurrencies, regardless of their market capitalization. Consequently, this study provides valuable insights into the manifestation of herd behavior in the cryptocurrency market and highlights the importance of liquidity and sentiment as influencing factors. These findings improve our understanding of investor behavior and provide guidance to market participants and policymakers on how to effectively manage the risks associated with herd effects.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030096
Authors: Mustafa Pamuk Matthias Schumann
Corporate credit ratings provide multiple strategic, financial, and managerial benefits for decision-makers. Therefore, it is essential to have accurate and up-to-date ratings to continuously monitor companies’ financial situations when making financial credit decisions. Machine learning (ML)-based internal models can be used for the assessment of companies’ financial situations using annual statements. Particularly, it is necessary to check whether these ML models achieve better results compared to statistical methods. Due to the multi-class classification problem when forecasting corporate credit ratings, the development, monitoring, and maintenance of ML-based systems are more challenging compared to simple classifications. This problem becomes even more complex due to the required coordination with financial regulators (e.g., OECD, EBA, BaFin, etc.). Furthermore, the ML models must be updated regularly due to the periodic nature of annual statements as a dataset. To address the problem of the limited dataset, multiple sampling strategies and machine learning algorithms can be combined for accurate and up-to-date forecasting of credit ratings. This paper provides various implications for ML-based forecasting of credit ratings and presents an approach for combining sampling strategies and ML techniques. It also provides design recommendations for ML-based services in the finance industry on how to fulfill the existing regulations.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030095
Authors: Gretha Steenkamp Nicolene Wesson
Researchers in developed countries have questioned whether share repurchase activity influences internal investment. The aim of this study was to investigate the relationship between share repurchases and internal investment (defined as capital expenditure, employment expenditure, and research and development) in South Africa, as little was known about this relationship in developing countries. A quantitative research methodology was followed, employing the data of South African listed companies during the 2002–2017 period. A significant negative relationship was noted between share repurchases and employment expenditure when considering all companies, while high-growth companies exhibited a significant negative relationship between share repurchases and capital expenditure. The negative relationships could indicate that companies increase share repurchases to the detriment of internal investment (especially employment). Alternatively, it may imply that share repurchase and internal investment decisions are determined simultaneously, with companies decreasing internal investment and increasing share repurchases in the absence of identifiable profitable projects (or increasing internal investment and decreasing share repurchases when growth opportunities are available). These findings could be useful to shareholders, corporate governance regulators and activists. Given the high unemployment and income inequality in South Africa, the results support a call for the improved regulation of share repurchases to ensure effective monitoring.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030094
Authors: Gaurang Sonkavde Deepak Sudhakar Dharrao Anupkumar M. Bongale Sarika T. Deokate Deepak Doreswamy Subraya Krishna Bhat
The financial sector has greatly impacted the monetary well-being of consumers, traders, and financial institutions. In the current era, artificial intelligence is redefining the limits of the financial markets based on state-of-the-art machine learning and deep learning algorithms. There is extensive use of these techniques in financial instrument price prediction, market trend analysis, establishing investment opportunities, portfolio optimization, etc. Investors and traders are using machine learning and deep learning models for forecasting financial instrument movements. With the widespread adoption of AI in finance, it is imperative to summarize the recent machine learning and deep learning models, which motivated us to present this comprehensive review of the practical applications of machine learning in the financial industry. This article examines algorithms such as supervised and unsupervised machine learning algorithms, ensemble algorithms, time series analysis algorithms, and deep learning algorithms for stock price prediction and solving classification problems. The contributions of this review article are as follows: (a) it provides a description of machine learning and deep learning models used in the financial sector; (b) it provides a generic framework for stock price prediction and classification; and (c) it implements an ensemble model—“Random Forest + XG-Boost + LSTM”—for forecasting TAINIWALCHM and AGROPHOS stock prices and performs a comparative analysis with popular machine learning and deep learning models.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030093
Authors: Mohammad Alqudah Luis Ferruz Emilio Martín Hanan Qudah Firas Hamdan
This paper explores the state of the art in the cryptocurrency literature, with a special emphasis on the links between financial dimensions and ESG features. The study uses bibliometric analysis to illustrate the history of cryptocurrency publication activity, focusing on the most popular subjects and research trends. Between 2014 and 2021, 1442 papers on cryptocurrencies were published in the Web of Science core collection, the most authoritative database, although only a tiny percentage evaluated ESG factors. One of the most common criticisms of cryptocurrencies is the pollution derived from energy consumption in their mining process and their use for illicit purposes due to the absence of effective regulation. The study allows us to suggest future research directions that may be beneficial in illustrating the environmental effect, studying financial behavior, identifying the long-term sustainability of cryptocurrencies, and evaluating their financial success. This study provides an in-depth examination of current research trends in the field of cryptocurrencies, identifying prospective future research directions.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030092
Authors: Saleh F. A. Khatib Hamzeh Al Amosh Husam Ananzeh
We aim to provide a comprehensive systematic analysis of scholarly publications in the field of board compensation in financial sectors extending through the years 1987 to 2021. Hence, the most notable themes, theories, and contributions to the literature are identified, and research developments over time are evaluated. With the identification of a final sample of 87 research papers indexed in Scopus, we identify research gaps to provide insight into future research following a systematic method. The results revealed that the United States of America received the broadest research interest, along with cross-country research. While the literature lacked to provide investigations for other countries of the world. Although the effect of compensation on organizational outcomes (performance and grow) is still unclear in the literature, several factors have been introduced as key drivers of the compensation, including the country’s level of development, the development of equity markets, the development of banking system, its dependence on foreign capital, collective rights empowering labor, the strength of a country’s welfare institutions, employment market forces, and social order and authority relations. On a theoretical level, agency theory has been most popular in the literature, along with providing multiple theoretical frameworks with agency theory as a slack resources theory, managerial talent theory, and managerial power theory. This is the first research to our knowledge that used a systematic review (SR) of literature to give a complete and comprehensive evaluation of the literature on board compensation in the financial sector. The current study documents the flow of literature on the board’s compensation in the financial sectors over 24 years and establishes future research opportunities.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030091
Authors: Minkwan Ahn
Prior research has examined how investors view asset securitizations, and shows that investors treat securitizations as borrowings, even when GAAP treats them as sales. Upon the adoption of two new accounting standards relating to securitizations, some off-balance-sheet securitized assets were consolidated back onto firms’ balance sheets. This study investigated how investors viewed assets that firms consolidated under the new standards and those that firms left unconsolidated. I found that investors differentiated between these two types of securitizations, treating the consolidated assets as borrowings and the unconsolidated assets as sales. I conclude that the new accounting standards are more consistent with equity investors’ views of securitizations. I also found that, for the consolidated assets, investors did not distinguish between securitizations going through two different accounting structures. Lastly, this study provides evidence on one information channel that investors use to distinguish between securitizations that may have the economic substance of borrowings versus sales.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030090
Authors: Hassan H. H. Aldboush Marah Ferdous
This research paper explores the ethical considerations in using financial technology (fintech), focusing on big data, artificial intelligence (AI), and privacy. Using a systematic literature-review methodology, the study identifies ethical and privacy issues related to fintech, including bias, discrimination, privacy, transparency, justice, ownership, and control. The findings emphasize the importance of safeguarding customer data, complying with data protection laws, and promoting corporate digital responsibility. The study provides practical suggestions for companies, including the use of encryption techniques, transparency regarding data collection and usage, the provision of customer opt-out options, and the training of staff on data-protection policies. However, the study is limited by its exclusion of non-English-language studies and the need for additional resources to deepen the findings. To overcome these limitations, future research could expand existing knowledge and collect more comprehensive data to better understand the complex issues examined.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030089
Authors: Firas N. Dahmash Hashem Alshurafat Raed Hendawi Abdallah Bader Alzoubi Hamzeh Al Amosh
The aim of this study was to investigate the effect of the retention per share compared to the dividend per share by modeling the firm’s market value as a function of the retention per share and the dividend per share for all firms in the Jordanian context using unbalanced panel data analysis for a sample of 2281 firm years covering the period from 2010 to 2021. The results of the pooled sample indicated a strong positive significant effect for dividends per share. However, the retention per share indicated a negative significant effect on the firm’s market value. The other robustness analysis for the two sub-samples and the financial and non-financial sub-samples indicated the same results, consistent with the pooled sample for the two main explanatory variables.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030088
Authors: Damianos P. Sakas Nikolaos T. Giannakopoulos Markos Margaritis Nikos Kanellos
Due to the volatility of the markets and the ongoing crises (COVID-19, the Ukrainian war, etc.), investors are keen to exploit any potential chances to make profits. For this reason, the idea of harvesting data from cryptocurrency market users takes an innovative step. Potential investors in supply chain firms in the fertilizer industry need to know whether the observation of data originating from the cryptocurrency market is capable of explaining their stock price variation. The authors identify the innovative utilization of cryptocurrency markets’ user analytical data to model and predict the stock price of supply chain firms in the fertilizer industry stock price. The main aim of this research is to evaluate the contribution of cryptocurrency market big data as a predicting factor for the stock price of fertilizer market firms. Such a finding improves the knowledge and decision-making of potential investors in the fertilizer market. Moreover, this study seeks to highlight the benefits of utilizing cryptocurrency market big data for other financial purposes, apart from stock price prediction. The analytical data was derived from cryptocurrency websites and applications and was then processed through statistical analysis (correlation and linear regressions), Fuzzy Cognitive Maps (FCM), and Hybrid Modeling (HM) modeling. The hybrid model’s simulation showed that analytical data from the cryptocurrency markets tend to explain and predict the stock price of supply chain firms in the fertilizer industry. Such data refer to Bitcoin’s website organic keywords and traffic costs, as well as paid traffic costs from cryptocurrency trade websites/apps. A rise in Bitcoin and cryptocurrency trade websites’ organic and paid traffic costs tend to increase supply chain firms in the fertilizer industry’s stock prices, while Bitcoin’s website organic keywords variation decreases accordingly.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030087
Authors: Imane Elouardighi Kenza Oubejja
Our study analyzes the relationship between digital financial inclusion and women’s labor force participation, as well as shedding light on the barriers to women’s digital financial inclusion. We have mobilized a microeconomic database that covers 15,192 African women. Our database is extracted from the Global Findex database, 2021 edition, based on nationally representative surveys of 29 African countries. The Probit model estimation methodology is used to examine the empirical results. Our findings reveal that financial inclusion via the digital channel is positively associated with women’s labor force participation more than the traditional channel. A significant and positive impact of formal financial services channels on the level of women’s participation in the labor market was uncovered. Our research has shown that women face a variety of obstacles when it comes to accessing financial services, both through traditional channels and digital means. These barriers include nonvoluntary obstacles in traditional financial inclusion channels. However, as a woman’s income level increases, the intensity of these barriers decreases. When it comes to digital financial inclusion, women often face a unique set of obstacles, such as the high cost of mobile financial services, lack of money, and lack of access to a cellphone. The study contributes to the existing literature by investigating the impact of digital financial inclusion on women’s labor force participation in African countries and identifying barriers that hinder women’s digital financial inclusion based on individual-level data. It suggests that African policymakers should increase women’s financial inclusion through digital channels to improve their participation in the labor market.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030086
Authors: Eirini Stavropoulou Konstantinos Spinthiropoulos Alexandros Garefalakis Konstantina Ragazou Fragkiskos Gonidakis
The technological developments in the social economy have significant implications for social banks and are optimistically changing the way social retail banks conduct their business. Social banks can invest in social services for small- and medium-sized enterprises (SSMEs) either to acquire a strategic advantage or out of strategic necessity. With the assistance of a mathematical model, this study tries to identify SME service channels and assess potential impacts on social deposit banks’ performance. In the first stage, the proposed model estimates the predictive capacity of interpretive accounting variables (financial ratios) versus the interpreted accounting variable (future quarterly earnings before taxes (EBT)). Then, in the second stage, the SSME service channels were added to the earnings before tax model in terms of profitability measure, which informs corporate earnings before operating the business to account for the income tax attributed to it for the purpose of estimating their impact on the performance of social banks. According to our findings, the banks are investing in SME services just to validate their investments in SME services as a strategic necessity. SSMEs services do not provide any strategic advantage to any banks in terms of financial or accounting performance or efficiency since the banks are already efficient. Investing in SMEs is a tool for preserving their strategic positions. Therefore, the contribution of this study is focused on the fact that it highlights the impact of financing the social deposit banking industry on institutions, while most studies analyze the vice versa interaction.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030085
Authors: Nizar Yousef Ahmed Naim Nora Azureen Abdul Rahman
Recent studies indicate that lending portfoliocomposition in Islamic banks is concentrated towardsdebt-based lending portfolio; however, the ideal lending portfoliocomposition in Islamic banks should be an equity-based lending portfolio. This article explores the effects of the internal governance factors on lending portfolio compositionofIslamic banks in the GCC Region. The internal governance factors investigated are board of directors’ characteristics (size and independence), Shariah supervisory board attributes (size and cross-membership), and ownership structure (family and government). The generalized least squares (GLS) method is used to examine the relationship between the study variables. The results indicate that two characteristics of the board of directors, size and independence, and two attributes of the Shariah supervisory board, Shariah board size and Shariah board cross-membership, have significant effects on lending portfolio composition of Islamic banks in the GCC Region. However, the rest of the internal governance factors have no effects on lending portfolio composition of Islamic banks in the GCC Region. These significant results add new contributions to the literature in the area of internal corporate governance of Islamic banks. The article concludes with suggestions for regulators and policy makers in the GCC Region with regard to the ideal characteristics of the board of directors and the optimal attributes of the Shariah supervisory board in Islamic banks as well as directions for future studies in this area of research.
]]>International Journal of Financial Studies doi: 10.3390/ijfs11030084
Authors: Elena A. Fedchenko Andrey V. Nikiforov Lyubov V. Gusarova Lyudmila M. Tsareva Alexey A. Maximov
The effective use of state property is one of the topical issues of economic policy affecting the interests of all segments of society. The need to comply with the principle of the effective use of budgetary funds is enshrined in Article 34 of the Budget Code of the Russian Federation. However, while studying the existing system of financial management in Russian practice, it was revealed that the current methodological approaches do not fully solve the tasks enshrined in the budget legislation. This is primarily due to the lack of proper accounting and analytical and methodological support for the relevant management procedures. Thus, the Federal State Information and Analytical System of the Federal Property Management Agency “Unified System of State Property Management” was used as the information base. However, this information system has some significant shortcomings, such as (1) the lack of a single regulatory act on the register at all levels of government; (2) the duplicated information about the property; and (3) there are no indicators and criteria in the register that would reflect effective property use, etc. Secondly, the approaches used to assess effective state property use are based on industry standards (health, education, etc.) in relation to the property and specific equipment necessary for the provision of public services. In this regard, the purpose of this study is to improve the concept and methodology for analyzing effective state (municipal) property use. The main areas for improving the methodology are (1) to develop a unified register of state property as the main source of accounting and analytical information; (2) to assess the property which state bodies and state institutions need to perform their functions and powers in full and of appropriate quality; and (3) to develop unified approaches for assessing the effective state (municipal) property use. As a result, the authors developed proposals introducing a unified register of the state (municipal) property, which includes indicators characterizing the physical state, recognition in accounting, and forms of the property disposal and use, which can be the basis for information and analytical support for assessing the effective state (municipal) property use at all levels. The study represents a system of indicators for assessing the effective state (municipal) property use, which consists of (1) indicators of the property disposal and use that make up the state treasury and (2) indicators of the property disposal and use of economic entities in the public sector. The results of the study are confirmed by empirical studies using the example of public institutions in the field of higher education and executive authorities.
]]>