Journal Description
International Journal of Financial Studies
International Journal of Financial Studies
is an international, peer-reviewed, scholarly open access journal on financial market, instruments, policy, and management research published quarterly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, ESCI (Web of Science), EconLit, EconBiz, RePEc, and other databases.
- Journal Rank: JCR - Q2 (Business, Finance) / CiteScore - Q2 (Finance)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 29.4 days after submission; acceptance to publication is undertaken in 5.9 days (median values for papers published in this journal in the first half of 2024).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
2.1 (2023);
5-Year Impact Factor:
2.1 (2023)
Latest Articles
Examining the Impact of International Financial Reporting Standards Adoption on Financial Reporting Quality of Multinational Companies
Int. J. Financial Stud. 2024, 12(4), 96; https://doi.org/10.3390/ijfs12040096 (registering DOI) - 24 Sep 2024
Abstract
This research delves into the influence of adopting international financial reporting standards (IFRSs) on the financial reporting quality (FRQ) of Indian multinational corporations (MNCs). It also investigates the moderating impact of the internal control system (ICS) on the relationship between IFRSs and FRQ.
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This research delves into the influence of adopting international financial reporting standards (IFRSs) on the financial reporting quality (FRQ) of Indian multinational corporations (MNCs). It also investigates the moderating impact of the internal control system (ICS) on the relationship between IFRSs and FRQ. The data collection involves a survey using a previously validated and adjusted scale from earlier studies. A sample of 512 participants is selected through purposive sampling methods. The analysis employs partial least square structural equation modelling (PLS-SEM) to validate the data and test the hypotheses. The results indicate a significantly positive influence of perceived benefits, perceived ease of implementation, and government policy on IFRS adoption within Indian MNCs. However, the impact of legal requirements on IFRS adoption in Indian MNCs is insignificantly positive. Furthermore, adopting IFRSs substantially positively affects FRQ within Indian MNCs. Similarly, FRQ significantly positively affects the relevance, accuracy, understandability, comparability, and timeliness of MNCs’ financial reports in India. The moderating role of the ICS in the connections between IFRS adoption and FRQ is positive yet insignificant within Indian MNCs. The insights derived from this study are valuable for investors, shareholders, government authorities, financiers, board members, and top executives of organisations.
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(This article belongs to the Special Issue Accounting and Financial/Non-financial Reporting Developments)
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Open AccessArticle
A Comprehensive Bibliometric Analysis of Real Estate Research Trends
by
Salma El Bied, Lorenzo Ros Mcdonnell, Ma Victoria de-la-Fuente-Aragón and Diego Ros Mcdonnell
Int. J. Financial Stud. 2024, 12(3), 95; https://doi.org/10.3390/ijfs12030095 (registering DOI) - 23 Sep 2024
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Real estate, characterized by its diverse and complex nature, presents a multifaceted research domain. It encompasses various topics and challenges, making it both content-wise challenging and multidimensional. This study aims to conduct a knowledge mapping of the literature in the real estate field
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Real estate, characterized by its diverse and complex nature, presents a multifaceted research domain. It encompasses various topics and challenges, making it both content-wise challenging and multidimensional. This study aims to conduct a knowledge mapping of the literature in the real estate field using a sample of 9700 document articles published between 1929 and 2023 based on publications indexed in the Web of Science database. This study utilizes the software SciMAT (version 1.1.04) to demonstrate hot keywords and trends in this field and additionally employs the VOSviewer (version 1.6.19) tool to analyze keywords, countries, authors, and sources. Authors reveal a growing interest in real estate literature, with the USA contributing the most publications, while relatively few originate from Africa and South America. This study investigates the strategic themes and the scientific evolution structure, provides a comprehensive examination of the current state of real estate literature, and helps in understanding its development. It offers a valuable reference point for future research in this domain.
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Open AccessArticle
Does Managerial Power Explain the Association between Agency Costs and Firm Value? The French Case
by
Dabboussi Moez
Int. J. Financial Stud. 2024, 12(3), 94; https://doi.org/10.3390/ijfs12030094 (registering DOI) - 21 Sep 2024
Abstract
This paper demonstrates whether the impact of agency costs on firm value depends on the level of managerial power using the fraction of capital held by the manager, as well as their level of voting rights. Focusing on a sample of 120 non-financial
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This paper demonstrates whether the impact of agency costs on firm value depends on the level of managerial power using the fraction of capital held by the manager, as well as their level of voting rights. Focusing on a sample of 120 non-financial French firms incorporated in the CAC All-Tradable Index for the period 2008–2022, the first empirical analysis provides strong evidence that agency costs of equity, as measured in terms of operating expenses, administrative expenses and the agency cost of free cash flow, exert a negative impact on the firm’s market value. In a second empirical analysis, we split our sample into three sub-samples with the aim of capturing the effect of managerial power. The findings lead us to believe that the association between the agency cost measurement and the firm’s market value depend on the level of managerial power. This paper challenges prior studies by strengthening our understanding of managerial behavior (incentive, neutral, and entrenchment) in relation to shareholder wealth. Furthermore, it contributes to the recent literature by enabling a better knowledge of the disparity related to studies conducted in other countries with different governance models.
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Open AccessArticle
Statistical Modeling of Football Players’ Transfer Fees Worldwide
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Raffaele Poli, Roger Besson and Loïc Ravenel
Int. J. Financial Stud. 2024, 12(3), 93; https://doi.org/10.3390/ijfs12030093 - 19 Sep 2024
Abstract
Professional football clubs invest vast amounts of money in the recruitment of players. This article presents the latest advances in statistical modeling of the factors that market actors take into consideration to determine the transfer prices of professional football players. It extends to
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Professional football clubs invest vast amounts of money in the recruitment of players. This article presents the latest advances in statistical modeling of the factors that market actors take into consideration to determine the transfer prices of professional football players. It extends to a global scale the econometric approach previously developed by the authors to evaluate the transfer prices of players under contract with clubs from the five major European leagues. The statistical technique used to build the model is multiple linear regression (MLR), with fees paid by clubs as an independent variable. The sample comprises over 8000 transactions of players transferred for money from clubs worldwide during the period stretching from July 2014 to March 2024. This paper shows that a statistical model can explain up to 85% of the differences in the transfer fees paid for players. Despite the specific cases and other possible distortions mentioned in the discussion, the use of a statistical model to determine player transfer prices is thus highly relevant on a global scale.
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(This article belongs to the Special Issue Sports Finance 2nd Edition)
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Open AccessArticle
Financial Interdependencies: Analyzing the Volatility Linkages between Real Estate Investment Trusts, Sukuk, and Oil in GCC Countries
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Nevi Danila
Int. J. Financial Stud. 2024, 12(3), 92; https://doi.org/10.3390/ijfs12030092 - 18 Sep 2024
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This study investigates the financial interconnections among Real Estate Investment Trusts (REITs), sukuk (Islamic bonds), and oil in Gulf Cooperation Council (GCC) nations. The study sample comprises S&P GCC Composite Equity Real Estate Investment Trusts (REITs) Shariah, the S&P GCC Bond and Sukuk
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This study investigates the financial interconnections among Real Estate Investment Trusts (REITs), sukuk (Islamic bonds), and oil in Gulf Cooperation Council (GCC) nations. The study sample comprises S&P GCC Composite Equity Real Estate Investment Trusts (REITs) Shariah, the S&P GCC Bond and Sukuk Index, and the OPEC crude oil basket on a daily basis. The duration of coverage spans from 2014 until the beginning of 2024. The TVP-VAR methodology is utilized to examine the interrelationship among the assets. The results indicate that Real Estate Investment Trusts (REITs) and oil are sources of volatility transmission, whereas sukuk is a recipient of volatility within the network. Examining the net pairwise directional linkages of two assets, namely REITs and oil markets, reveals that they transfer their volatility to the sukuk market. Moreover, a reciprocal relationship exists between REITs and oil regarding volatility spillover. It means that REITs act as transmitters to the oil markets during specific periods, while the influence is reversed at other times. This study implies that portfolio managers and investors can discern the volatility patterns of assets in order to enhance their risk-management techniques. For policymakers, comprehending the interdependence of certain asset classes provides valuable knowledge for formulating regulations that might stabilize the financial system and foster economic growth. From a research and academic perspective, this study enhances understanding of the interconnections between different financial asset classes and pricing dynamics in financial markets.
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Open AccessArticle
Impacts of Digital Transformation and Basel III Implementation on the Credit Risk Level of Vietnamese Commercial Banks
by
Ngan Bich Nguyen and Hien Duc Nguyen
Int. J. Financial Stud. 2024, 12(3), 91; https://doi.org/10.3390/ijfs12030091 - 13 Sep 2024
Abstract
For a bank-based economy like Vietnam, the commercial banking sector’s conduct greatly influences Vietnamese economic and social prosperity. In Vietnam, net income from credit activities hold the largest portion of the total revenue of Vietnamese commercial banks. Therefore, in the context of Vietnam,
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For a bank-based economy like Vietnam, the commercial banking sector’s conduct greatly influences Vietnamese economic and social prosperity. In Vietnam, net income from credit activities hold the largest portion of the total revenue of Vietnamese commercial banks. Therefore, in the context of Vietnam, credit risk obviously also plays a pivotal important role in the banking sector. Hence, the risk of credit failure can lead to a bank’s collapse and have a profound effect on a country’s societal structure. As seen in the previous literature, there are many macroeconomic and bank-level factors that have commonly affected the level of credit risk; however, these factors may change in the recent development era of the banking industry, especially the new impacts of digital transformation and the transition to full Basel III adoption. The overall aim of this study is to analyze the impacts of digital transformation and Basel III implementation on the credit risk level of Vietnamese commercial banks during the period from 2017 to 2023, with a sample of 21 Vietnamese listed commercial banks. This study employs the pooled OLS, fixed effect model (FEM), and random effect model (REM) methods to reach the finding that investing in technology for the readiness of digital transformation and implementing Basel III could adversely affect credit risk. Based on this finding, the authors give some recommendations for commercial banks to enhance the sustainability, safety, and better management of credit risk.
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Open AccessArticle
Appraising the Role of Strategic Control in Financial Performance: The Mediating Effect of the Resource Allocation Process—The Case of the Ministry of Finance–North Lebanon
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Basma Bchennaty, Muhammad Nauman Khan, Mazen Massoud and Tamima Elhassan
Int. J. Financial Stud. 2024, 12(3), 90; https://doi.org/10.3390/ijfs12030090 - 10 Sep 2024
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This paper aims to appraise the influence of strategic control tactics on financial performance. The goal is to examine the mediating effect of the resource allocation process on the relationship between financial performance and five strategic control tactics. A quantitative hypothetico-deductive methodology was
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This paper aims to appraise the influence of strategic control tactics on financial performance. The goal is to examine the mediating effect of the resource allocation process on the relationship between financial performance and five strategic control tactics. A quantitative hypothetico-deductive methodology was used in this study. A basic random sample of the Ministry of Finance–North Lebanon’s workforce was used to conduct an electronic questionnaire. A total of 232 valid responses were collected. Two statistical analysis methods, an exploratory and a confirmatory factor analysis, were implemented. The sample adequacy was confirmed by a KMO value higher than 0.7 before instigating the principal component analysis (PCA). The latter kept more than 60% of the initial data while structuring the data. The findings of the KMO and Barlett tests supported the adoption of PCA. The correlation matrix confirmed a statistically significant relationship between resource allocation, financial success, and strategic control techniques. The structural equation model (SEM) validated the linear correlations and statistical significance between the variables. The hypotheses were examined. Results confirmed that the model satisfactorily fits the data. The RMSEA is below the 0.05 threshold. The incremental indices are higher than 0.9. Results confirmed that the resource allocation process mediates the relationship between preventive control, operational control, special alert control, implementation control, and financial performance.
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Open AccessArticle
Deregulating the Volume Limit on Share Repurchases
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Adhiraj Sodhi and Aleksandar Stojanovic
Int. J. Financial Stud. 2024, 12(3), 89; https://doi.org/10.3390/ijfs12030089 - 3 Sep 2024
Abstract
We empirically advocate for UK regulators to increase the volume limit of 15% outstanding shares on open market repurchases. Our main framework initially tests the determinants of share repurchases based on their size, Small, Medium and Large. The findings reveal that consistent with
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We empirically advocate for UK regulators to increase the volume limit of 15% outstanding shares on open market repurchases. Our main framework initially tests the determinants of share repurchases based on their size, Small, Medium and Large. The findings reveal that consistent with extant literature, the payout is primarily determined by its capability of distributing excess cash to shareholders and signaling undervaluation. We then check the viability of increasing the volume limit by testing new levels at 2.50% increments, up to 30%. The results indicate that any increase does not broadly change the determinants’ relationship with the payout, rather increased efficiency is realized at every interval, with the 20% and 30% levels being the most favorable.
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(This article belongs to the Special Issue Corporate Finance 2.0)
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Microcredit Pricing Model for Microfinance Institutions under Basel III Banking Regulations
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Patricia Durango-Gutiérrez, Juan Lara-Rubio, Andrés Navarro-Galera and Dionisio Buendía-Carrillo
Int. J. Financial Stud. 2024, 12(3), 88; https://doi.org/10.3390/ijfs12030088 - 3 Sep 2024
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Purpose. The purpose of this research is to propose a tool for designing a microcredit risk pricing strategy for borrowers of microfinance institutions (MFIs). Design/methodology/approach. Considering the specific characteristics of microcredit borrowers, we first estimate and measure microcredit risk through the default probability,
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Purpose. The purpose of this research is to propose a tool for designing a microcredit risk pricing strategy for borrowers of microfinance institutions (MFIs). Design/methodology/approach. Considering the specific characteristics of microcredit borrowers, we first estimate and measure microcredit risk through the default probability, applying a parametric technique such as logistic regression and a non-parametric technique based on an artificial neural network, looking for the model with the highest predictive power. Secondly, based on the Basel III internal ratings-based (IRB) approach, we use the credit risk measurement for each borrower to design a pricing model that sets microcredit interest rates according to default risk. Findings. The paper demonstrates that the probability of default for each borrower is more accurately adjusted using the artificial neural network. Furthermore, our results suggest that, given a profitability target for the MFI, the microcredit interest rate for clients with a lower level of credit risk should be lower than a standard, fixed rate to achieve the profitability target. Practical implications. This tool allows us, on the one hand, to measure and assess credit risk and minimize default losses in MFIs and, secondly, to promote their competitiveness by reducing interest rates, capital requirements, and credit losses, favoring the financial self-sustainability of these institutions. Social implications. Our findings have the potential to make microfinance institutions fairer and more equitable in their lending practices by providing microcredit with risk-adjusted pricing. Furthermore, our findings can contribute to the design of government policies aimed at promoting the financial and social inclusion of vulnerable people. Originality. The personal characteristics of microcredit clients, mainly reputation and moral solvency, are crucial to the default behavior of microfinance borrowers. These factors should have an impact on the pricing of microcredit.
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Open AccessArticle
Efficiency of Healthcare Financing: Case of European Countries
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Aleksy Kwilinski and Alina Vysochyna
Int. J. Financial Stud. 2024, 12(3), 87; https://doi.org/10.3390/ijfs12030087 - 26 Aug 2024
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Global turbulence and uncertainty force civil servants and executors to optimise public finance distribution. The COVID-19 pandemic aligned with the necessity of assessing the efficiency of healthcare financing due to its capability in overcoming the negative consequences. The paper analyses the peculiarities of
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Global turbulence and uncertainty force civil servants and executors to optimise public finance distribution. The COVID-19 pandemic aligned with the necessity of assessing the efficiency of healthcare financing due to its capability in overcoming the negative consequences. The paper analyses the peculiarities of healthcare financing in 34 European countries and points out trends and changes in its structure and dynamics. It also realises cluster analysis to reveal models of healthcare financing and their specific features. Panel data regression analysis was used to assess the efficiency of healthcare financing within each cluster by clarifying the relationship between healthcare expenditures and public health outcome—life expectancy. The distributed lag model was also used to test for time lags between financial inflows in healthcare and its outcome. Empirical results highlight key tips for optimising healthcare financing and creating the benchmark model.
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Open AccessFeature PaperArticle
Breaking the Boundaries in the Digital Age: Open Banking and Tax Evasion
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Ngoc Thang Dang, Stelios Andreadakis, Pamela Nika and Monomita Nandy
Int. J. Financial Stud. 2024, 12(3), 86; https://doi.org/10.3390/ijfs12030086 - 23 Aug 2024
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In this paper, we examine the relationship between open banking and tax evasion. As the open banking literature is still evolving, we try to systematically analyze the literature on conventional banking and tax evasion and then extend the discussion in the context of
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In this paper, we examine the relationship between open banking and tax evasion. As the open banking literature is still evolving, we try to systematically analyze the literature on conventional banking and tax evasion and then extend the discussion in the context of open banking. The popularity of open baking recently raises a question about its relationship with tax evasion. Digital banking and digital taxation contributed positively to mitigating tax evasion in the context of conventional banking. However, in open banking, the customers can decide to what extent they will share any transaction-related data with their bank, while they can also choose to complete direct transactions with third parties. This creates a new challenge in relation to the mitigation of tax evasion, which is the focus of this paper. Due to lack of granular empirical data, we conduct a systematic literature review and a bibliometric analysis to track the development of the relevant academic debates and identify the arguments that have been presented in relation to this topic. This approach is recognized as well suited for emerging topics in finance research, particularly when data are scarce, as evidenced by studies on COVID-19 and biodiversity. We find that the gaps of the current regulatory framework, at both the national and supranational level, have created challenges and uncertainties at multiple levels. Nonetheless, the findings of the study suggest future research directions and offer valuable guidelines for regulators in utilizing open banking.
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The Probability of Hospital Bankruptcy: A Stochastic Approach
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Ramalingam Shanmugam, Brad Beauvais, Diane Dolezel, Rohit Pradhan and Zo Ramamonjiarivelo
Int. J. Financial Stud. 2024, 12(3), 85; https://doi.org/10.3390/ijfs12030085 - 23 Aug 2024
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Healthcare leaders are faced with many financial challenges in the contemporary environment, leading to financial distress and notable instances of bankruptcies in recent years. What is not well understood are the specific conditions that may lead to organizational economic failure. Though there are
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Healthcare leaders are faced with many financial challenges in the contemporary environment, leading to financial distress and notable instances of bankruptcies in recent years. What is not well understood are the specific conditions that may lead to organizational economic failure. Though there are various models that predict financial distress, existing regression methods may be inadequate, especially when the finance variables follow a nonnormal frequency pattern. Furthermore, the regression approach encounters difficulties due to multicollinearity. Therefore, an alternate stochastic approach for predicting the probability of hospital bankruptcy is needed. The new method we propose involves several key steps to better assess financial health in hospitals. First, we compute and interpret the relationship between the hospital’s revenues and expenses for bivariate lognormal data. Next, we estimate the risk of bankruptcy due to the mismatch between revenues and expenses. We also determine the likelihood of a hospital’s expenses exceeding the state’s median expenses level. Lastly, we evaluate the hospital’s financial memory level to understand its level of financial stability. We believe that our novel approach to anticipating hospital bankruptcy may be useful for both hospital leaders and policymakers in making informed decisions and proactively managing risks to ensure the sustainability and stability of their institutions.
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Open AccessArticle
The Influence of Women on Boards on the Relationship between Executive and Employee Remuneration
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María L. Gallén and Carlos Peraita
Int. J. Financial Stud. 2024, 12(3), 84; https://doi.org/10.3390/ijfs12030084 - 23 Aug 2024
Abstract
The growing presence of women at the top of companies has sparked interest in examining their role in the remuneration gap between senior managers and employees. This article analyses the traditional Chief Executive Officer (CEO)-to-employee pay ratio but includes a new relation, the
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The growing presence of women at the top of companies has sparked interest in examining their role in the remuneration gap between senior managers and employees. This article analyses the traditional Chief Executive Officer (CEO)-to-employee pay ratio but includes a new relation, the senior-management-to-employee pay ratio, and extends the research by including six positions for women in company management: on the board of directors, executive directors, CEOs, proprietary directors, independent directors, and senior managers. The study is based on a sample of 77 listed companies in Spain from 2015 to 2022 and the panel data models have been estimated using the Generalised Method of Moments (GMM). The main findings indicate that the proportion of women in different categories of board and senior management positions has a positive effect on the CEO-to-employee pay ratio, especially in companies with higher market capitalisation. In contrast, the proportion of women in senior management positions has a negative effect on the CEO-to-employee pay ratio in all the samples analysed. Government agencies should prioritise the participation of women in non-board senior management positions in order to at least reduce the pay gap between senior managers and employees.
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Open AccessArticle
Corporate Culture, Special Items, and Firm Performance
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S. Thomas Kim and Li Sun
Int. J. Financial Stud. 2024, 12(3), 83; https://doi.org/10.3390/ijfs12030083 - 22 Aug 2024
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This study analyzes the relationship between corporate culture, the likelihood of reporting special items, and firm performance. We find a significant negative relation between corporate culture and special items using more than 55,000 firm-year observations from 6931 U.S. corporations between 2002 and 2021.
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This study analyzes the relationship between corporate culture, the likelihood of reporting special items, and firm performance. We find a significant negative relation between corporate culture and special items using more than 55,000 firm-year observations from 6931 U.S. corporations between 2002 and 2021. The result suggests that firms with strong corporate cultures are less likely to use and report special items. Firms with lower performance mainly drive the negative relation; the pattern indicates that firms with weaker corporate cultures are prone to manage earnings using special items.
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Open AccessArticle
Risk of Economic Violence: A New Quantification
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Federica D’Agostino, Giulia Zacchia and Marcella Corsi
Int. J. Financial Stud. 2024, 12(3), 82; https://doi.org/10.3390/ijfs12030082 - 19 Aug 2024
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This paper defines the first internationally comparable measure of the risk of economic violence to acknowledge its prevalence in different countries and its geographical and gender heterogeneity. Thanks to the availability of micro-data from the OECD/International Network on Financial Education survey, currently used
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This paper defines the first internationally comparable measure of the risk of economic violence to acknowledge its prevalence in different countries and its geographical and gender heterogeneity. Thanks to the availability of micro-data from the OECD/International Network on Financial Education survey, currently used to track financial literacy in different countries, we define a measure of the risk of economic violence (REV) that takes into consideration three macro-areas: (a) the risk of being prevented from acquiring and accumulating financial resources; (b) the risk of being unaware and not having access to personal and/or household financial resources; and (c) the risk of financial dependency. The definition of the new economic violence risk measure (REV) then allows us to verify with real data the presence of women’s greater exposure to the risk of economic violence and the presence of gender differences in the determinants of economic violence risk. Finally, we verify that financial literacy protects individuals from the risk of economic violence, without gender differences.
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Open AccessArticle
The Relationship between Financial Literacy Misestimation and Misplacement from the Perspective of Inverse Differential Information and Stock Market Participation
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Yun-Ho Lee and Weihua Ma
Int. J. Financial Stud. 2024, 12(3), 81; https://doi.org/10.3390/ijfs12030081 - 16 Aug 2024
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This study proposes the inverse differential information theory, which predicts a positive relationship between misestimation and misplacement, two types of overconfidence. The inverse differential information theory contrasts with the existing theory of differential information, which argues for a negative relationship between these two
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This study proposes the inverse differential information theory, which predicts a positive relationship between misestimation and misplacement, two types of overconfidence. The inverse differential information theory contrasts with the existing theory of differential information, which argues for a negative relationship between these two types of overconfidence. This study shows that these differences arise from opposing perspectives on the accuracy with which individuals assess their own abilities or performance compared to others’. The inverse differential information theory posits that people tend to evaluate others more objectively than they do themselves. A positive relationship between misestimation and misplacement predicts that overestimation and overplacement, as well as underestimation and underplacement, tend to occur together. Analysis using financial literacy data from South Korean adults supports the prediction of the inverse differential information theory. When these two types of overconfidence form a positive relationship, they are expected to have systematically a significant impact on human decision-making and behavior. This study empirically demonstrates that the positive relationship between misestimation and misplacement in financial literacy significantly influences individuals’ financial behavior, specifically in the context of stock market participation experience. The inverse differential information theory requires further empirical validation across various domains, not just in the field of behavioral finance, to establish whether the positive interaction between misestimation and misplacement consistently influences human decision-making and behavior.
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Open AccessArticle
Enhancing Value-at-Risk with Credible Expected Risk Models
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Khreshna Syuhada, Rizka Puspitasari, I Kadek Darma Arnawa, Lailatul Mufaridho, Elonasari Elonasari, Miftahul Jannah and Aniq Rohmawati
Int. J. Financial Stud. 2024, 12(3), 80; https://doi.org/10.3390/ijfs12030080 - 16 Aug 2024
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Accurate risk assessment is crucial for predicting potential financial losses. This paper introduces an innovative approach by employing expected risk models that utilize risk samples to capture comprehensive risk characteristics. The innovation lies in the integration of classical credibility theory with expected risk
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Accurate risk assessment is crucial for predicting potential financial losses. This paper introduces an innovative approach by employing expected risk models that utilize risk samples to capture comprehensive risk characteristics. The innovation lies in the integration of classical credibility theory with expected risk models, enhancing their stability and precision. In this study, two distinct expected risk models were developed, referred to as Model Type I and Model Type II. The Type I model involves independent and identically distributed random samples, while the Type II model incorporates time-varying stochastic processes, including heteroscedastic models like GARCH(p,q). However, these models often exhibit high variability and instability, which can undermine their effectiveness. To mitigate these issues, we applied classical credibility theory, resulting in credible expected risk models. These enhanced models aim to improve the accuracy of Value-at-Risk (VaR) forecasts, a key risk measure defined as the maximum potential loss over a specified period at a given confidence level. The credible expected risk models, referred to as CreVaR, provide more stable and precise VaR forecasts by incorporating credibility adjustments. The effectiveness of these models is evaluated through two complementary approaches: coverage probability, which assesses the accuracy of risk predictions; and scoring functions, which offer a more nuanced evaluation of prediction accuracy by comparing predicted risks with actual observed outcomes. Scoring functions are essential in further assessing the reliability of CreVaR forecasts by quantifying how closely the forecasts align with the actual data, thereby providing a more comprehensive measure of predictive performance. Our findings demonstrate that the CreVaR risk measure delivers more reliable and stable risk forecasts compared to conventional methods. This research contributes to quantitative risk management by offering a robust approach to financial risk prediction, thereby supporting better decision making for companies and financial institutions.
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Open AccessArticle
The Determinants of Entrepreneurial Success: An Application to Micro-Enterprises Financed by Microcredit in France
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Serge Valant Gandja and Marinette Kamaha
Int. J. Financial Stud. 2024, 12(3), 79; https://doi.org/10.3390/ijfs12030079 - 12 Aug 2024
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Micro-enterprises are at the heart of industrialized countries’ political concerns, particularly in Europe. If the latter are the subject of such special attention, it is because of their important role in terms of economic growth. This study evaluated the factors of business success
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Micro-enterprises are at the heart of industrialized countries’ political concerns, particularly in Europe. If the latter are the subject of such special attention, it is because of their important role in terms of economic growth. This study evaluated the factors of business success as a multidimensional and multifaceted construct that integrates three aspects: entrepreneurial continuity, economic success, and entrepreneur satisfaction. Together, we included these three aspects in an econometric analysis using an ordered Probit model. We propose, from a new angle, an understanding of the determinants of the sustainable performance of micro-enterprises, in this case, those financed by microcredit in France. Our results show that total success seems to be explained in particular by elements from financial and human capital, motivation, and entrepreneurial support.
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Open AccessArticle
Unpacking the Complexity of Corporate Sustainability: Green Innovation’s Mediating Role in Risk Management and Performance
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Munther Al-Nimer
Int. J. Financial Stud. 2024, 12(3), 78; https://doi.org/10.3390/ijfs12030078 - 11 Aug 2024
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This study investigates the relationships among corporate sustainability development (CSD), enterprise risk management performance (ERMP), and green innovation (GI) in the Jordanian manufacturing firms. The empirical data of 97 companies listed on the Amman Stock Exchange were gathered in a time span of
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This study investigates the relationships among corporate sustainability development (CSD), enterprise risk management performance (ERMP), and green innovation (GI) in the Jordanian manufacturing firms. The empirical data of 97 companies listed on the Amman Stock Exchange were gathered in a time span of three months (i.e., January 2024 to March 2024). A structural equation modeling was employed to examine these complex dynamics. The findings reveal that CSD is negatively associated with both ERMP and enterprise sustainable performance in the short term, challenging conventional wisdom. However, CSD strongly promotes GI, which in turn positively influences ERMP while negatively affecting short-term performance. GI acts as a significant mediator, positively mediating the CSD–ERMP relationship and negatively mediating the CSD–performance link. These results extend the sustainability paradox concept to emerging economies and highlight the critical role of GI in balancing sustainability initiatives with risk management and performance outcomes. The study suggests that firms may experience initial disruptions when implementing sustainability practices, but these initiatives can drive innovation within organizations. Based on these findings, this study recommends that managers in emerging economies adopt a long-term perspective when implementing sustainability initiatives and develop more flexible risk management systems. Policymakers should consider supportive frameworks to help firms navigate the tensions between sustainability, innovation, and short-term performance. Future research should employ longitudinal designs to capture the dynamic nature of these relationships and explore potential moderating factors such as firm size or industry-specific characteristics.
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Open AccessArticle
Optimal Market-Neutral Multivariate Pair Trading on the Cryptocurrency Platform
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Hongshen Yang and Avinash Malik
Int. J. Financial Stud. 2024, 12(3), 77; https://doi.org/10.3390/ijfs12030077 - 9 Aug 2024
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This research proposes a novel arbitrage approach in multivariate pair trading, termed the Optimal Trading Technique (OTT). We present a method for selectively forming a “bucket” of fiat currencies anchored to cryptocurrency for monitoring and exploiting trading opportunities simultaneously. To address quantitative conflicts
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This research proposes a novel arbitrage approach in multivariate pair trading, termed the Optimal Trading Technique (OTT). We present a method for selectively forming a “bucket” of fiat currencies anchored to cryptocurrency for monitoring and exploiting trading opportunities simultaneously. To address quantitative conflicts from multiple trading signals, a novel bi-objective convex optimization formulation is designed to balance investor preferences between profitability and risk tolerance. We understand that cryptocurrencies carry significant financial risks. Therefore this process includes tunable parameters such as volatility penalties and action thresholds. In experiments conducted in the cryptocurrency market from 2020 to 2022, which encompassed a vigorous bull run followed by a bear run, the OTT achieved an annualized profit of 15.49%. Additionally, supplementary experiments detailed in the appendix extend the applicability of OTT to other major cryptocurrencies in the post-COVID period, validating the model’s robustness and effectiveness in various market conditions. The arbitrage operation offers a new perspective on trading, without requiring external shorting or holding the intermediate during the arbitrage period. As a note of caution, this study acknowledges the high-risk nature of cryptocurrency investments, which can be subject to significant volatility and potential loss.
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