Journal Description
Journal of Risk and Financial Management
Journal of Risk and Financial Management
is an international, peer-reviewed, open access journal on risk and financial management, published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, EconBiz, EconLit, RePEc, and other databases.
- Journal Rank: CiteScore - Q2 (Business, Management and Accounting (miscellaneous))
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 20.5 days after submission; acceptance to publication is undertaken in 4.9 days (median values for papers published in this journal in the second half of 2023).
- 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.
Latest Articles
Empowering Self-Help Groups: The Impact of Financial Inclusion on Social Well-Being
J. Risk Financial Manag. 2024, 17(6), 217; https://doi.org/10.3390/jrfm17060217 (registering DOI) - 22 May 2024
Abstract
Financial inclusion (FI) relates to the access and availability of financial services to society, especially in low-income groups. FI is pivotal in achieving 7 of the 17 Sustainable Development Goals (SDGs). This paper explores the level of FI in the rural areas of
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Financial inclusion (FI) relates to the access and availability of financial services to society, especially in low-income groups. FI is pivotal in achieving 7 of the 17 Sustainable Development Goals (SDGs). This paper explores the level of FI in the rural areas of Maharashtra and measures the impact of FI on the social conditions of Self-Help Groups (SHGs) prevalent in these areas. The study is based on a 424 SHGs survey conducted in the Pune, Thane, and Palghar districts of Maharashtra, India. The impact of FI on SHGs is evaluated using a Structural Equation Model (SEM). The results of the study show that physical banking services, Business Facilitators (BFs), and Business Correspondents (BCs) improve the social conditions of rural SHGs. Additionally, BCs and BFs mediate the relationship between physical banking services and social conditions. The study also reveals an insignificant association between BCs and BFs and insurance services. The present study highlights the importance of increasing the awareness of insurance policies through financial literacy programs and making timely availability and accessibility of BCs and BFs to enhance financial inclusion in rural areas.
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(This article belongs to the Special Issue Fintech, Business, and Development)
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Investigating the Components of Perceived Risk Factors Affecting Mobile Payment Adoption
by
Eugene Bland, Chuleeporn Changchit, Charles Changchit, Robert Cutshall and Long Pham
J. Risk Financial Manag. 2024, 17(6), 216; https://doi.org/10.3390/jrfm17060216 - 21 May 2024
Abstract
As smartphone ownership rapidly expands, mobile payment options are gaining popularity due to the portability and convenience they offer. This study examines attitudes towards adopting mobile payment, focusing on the component risk, which consists of multiple dimensions including performance, financial, time, psychological, and
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As smartphone ownership rapidly expands, mobile payment options are gaining popularity due to the portability and convenience they offer. This study examines attitudes towards adopting mobile payment, focusing on the component risk, which consists of multiple dimensions including performance, financial, time, psychological, and social risks. The study uses a quantitative approach, collecting data through a survey distributed to mobile payment users, with 361 respondents in the United States. The survey instrument includes measures of performance and psychological risk, as well as attitudes towards mobile payment acceptance. Data analysis using SPSS 25.0 and AMOS 24.0 reveals that both performance and psychological risk significantly negatively impact attitudes towards mobile payment acceptance, underscoring the importance of mobile payment service providers implementing effective risk management policies to improve users’ positive attitudes towards their platforms.
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(This article belongs to the Special Issue Digital Banking and Financial Technology)
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Financial Literacy: A Case Study for Portugal
by
Luís Almeida, João Chanoca and Fernando Tavares
J. Risk Financial Manag. 2024, 17(5), 215; https://doi.org/10.3390/jrfm17050215 - 20 May 2024
Abstract
This work aims at understanding the level of financial literacy in Portugal, identifying the determinants of financial literacy in the Portuguese population, taking as an example certain sociodemographic factors such as gender and age. The aim is to understand whether there is a
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This work aims at understanding the level of financial literacy in Portugal, identifying the determinants of financial literacy in the Portuguese population, taking as an example certain sociodemographic factors such as gender and age. The aim is to understand whether there is a high level of adherence to financial literacy programs and initiatives, as well as the impact of financial knowledge variables on the financial literacy of the Portuguese population. The methodology used was quantitative and based on a questionnaire survey. The sample consisted of 600 individuals, all over 18 years old. It was concluded that individuals in the 26 to 35 age group had the best knowledge and that this sample showed better knowledge of interest rates compared to inflation and risk. The exploratory factor analysis shows five factors that determine the financial literacy of the Portuguese population and the way they manage their finances, which are (1) the perception of their current financial situation; (2) planning and controlling personal finances; (3) the perception of risky financial assets; (4) the perception of risk-free financial assets; and (5) savings. This research contributes to expanding scientific understanding in the field of financial literacy and offering support to the review of financial education policies by formulators, aiming to develop tools that help improve the financial behavior of the Portuguese population.
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(This article belongs to the Section Financial Markets)
Open AccessArticle
South African Real Estate Investment Trusts Prefer Tuesdays
by
Oluwaseun Damilola Ajayi and Emmanuel Kofi Gavu
J. Risk Financial Manag. 2024, 17(5), 214; https://doi.org/10.3390/jrfm17050214 - 20 May 2024
Abstract
This study examines the day-of-the-week effect on the returns of different classifications of South African REITs. Ordinary least squares regression (OLS), generalized autoregressive conditional heteroskedasticity (GARCH) (1,1) (2,1), and Kruskal–Wallis (KW) tests were performed on data obtained from the IRESS Expert database from
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This study examines the day-of-the-week effect on the returns of different classifications of South African REITs. Ordinary least squares regression (OLS), generalized autoregressive conditional heteroskedasticity (GARCH) (1,1) (2,1), and Kruskal–Wallis (KW) tests were performed on data obtained from the IRESS Expert database from 2013 to 2021. We found statistical differences in the day-of-the-week effects for SAREITs; the best day to invest in office REITs is Friday, for diversified REITs Thursday, and for industrial REITs Friday. Generally, Wednesday was found to be the least profitable day to invest in all REIT classifications because it had the least average daily return. Tuesdays were the most profitable days for all REIT classifications, with the highest average daily return. REITs traded the most on Fridays, while REITs traded the least on Mondays. Returns were the most volatile on Monday, while volume was the least volatile on Thursday. The KW test revealed a statistically significant difference between the median returns across days of the week. Based on the above, profitability is expressed on Tuesdays in South African REITs. By recognizing the day-of-the-week effect, investors can buy and sell South African REITs more effectively. This study, apart from being the first in the context of South African REITs, provides updated evidence of the contested calendar anomaly issues.
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(This article belongs to the Section Financial Markets)
Open AccessArticle
Working Capital Management and Bank Mergers
by
Baoqi Na and Katsutoshi Shimizu
J. Risk Financial Manag. 2024, 17(5), 213; https://doi.org/10.3390/jrfm17050213 - 20 May 2024
Abstract
This study investigates the consequences of bank mergers on non-financial borrowers’ working capital management. We find evidence that bank mergers increase corporate cash holdings and decrease receivables and investments in inventories by reducing bank credit availability. Bank mergers also decrease trade credit used
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This study investigates the consequences of bank mergers on non-financial borrowers’ working capital management. We find evidence that bank mergers increase corporate cash holdings and decrease receivables and investments in inventories by reducing bank credit availability. Bank mergers also decrease trade credit used through the reduction in bank credit availability. These findings are new contributions to the literature, suggesting that borrowing firms find it more difficult to manage working capital after bank mergers occur and that bank-dependent firms find it more difficult to manage working capital than their non-dependent counterparts after mergers.
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(This article belongs to the Special Issue Financial Markets and Institutions)
Open AccessArticle
Valuation of Goodwill for an Engineering Firm
by
Bhushan Lohar, John Wade and Sean Walker
J. Risk Financial Manag. 2024, 17(5), 212; https://doi.org/10.3390/jrfm17050212 - 19 May 2024
Abstract
The concept of valuing personal and enterprise goodwill is a study in the art of quantifying subjective values. Sellers strive to maximize goodwill, while buyers strive to minimize goodwill. No persons are denying the existence of goodwill; rather, the debate is centered around
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The concept of valuing personal and enterprise goodwill is a study in the art of quantifying subjective values. Sellers strive to maximize goodwill, while buyers strive to minimize goodwill. No persons are denying the existence of goodwill; rather, the debate is centered around the value of that goodwill. This paper seeks to define a holistic approach to fairly quantifying the value of goodwill for an engineering firm. The Graph Model for Conflict Resolution (GMCR), a decision tool grounded in game theory, is used to illustrate the inherent conflict around setting an accurate goodwill value and the inherent negotiation between buyers and sellers.
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(This article belongs to the Section Business and Entrepreneurship)
Open AccessArticle
Risk Characterization of Firms with ESG Attributes Using a Supervised Machine Learning Method
by
Prodosh Eugene Simlai
J. Risk Financial Manag. 2024, 17(5), 211; https://doi.org/10.3390/jrfm17050211 - 19 May 2024
Abstract
We examine the risk–return tradeoff of a portfolio of firms that have tangible environmental, social, and governance (ESG) attributes. We introduce a new type of penalized regression using the Mahalanobis distance-based method and show its usefulness using our sample of ESG firms. Our
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We examine the risk–return tradeoff of a portfolio of firms that have tangible environmental, social, and governance (ESG) attributes. We introduce a new type of penalized regression using the Mahalanobis distance-based method and show its usefulness using our sample of ESG firms. Our results show that ESG companies are exposed to financial state variables that capture the changes in investment opportunities. However, we find that there is no economically significant difference between the risk-adjusted returns of various ESG-rating-based portfolios and that the risk associated with a poor ESG rating portfolio is not significantly different than that of a good ESG rating portfolio. Although investors require return compensation for holding ESG stocks, the fact that the risk of a poor ESG rating portfolio is comparable to that of a good ESG rating portfolio suggests risk dimensions that go beyond ESG attributes. We further show that the new covariance-adjusted penalized regression improves the out-of-sample cross-sectional predictions of the ESG portfolio's expected returns. Overall, our approach is pragmatic and based on the ease of an empirical appeal.
Full article
(This article belongs to the Special Issue Financial Valuation and Econometrics)
Open AccessArticle
Exploring the Nexus of Dividend Policy, Third-Party Funds, Financial Performance, and Company Value: The Role of IT Innovation as a Moderator
by
Satria Amiputra Amimakmur, Muhammad Saifi, Cacik Rut Damayanti and Benny Hutahayan
J. Risk Financial Manag. 2024, 17(5), 210; https://doi.org/10.3390/jrfm17050210 - 17 May 2024
Abstract
This research investigates the connection between dividend policy, third-party funds, financial performance, and company value, with a focus on IT Innovation as a moderating factor. This research was conducted using a quantitative approach, utilizing Commercial Banks listed on the Indonesia Stock Exchange categorized
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This research investigates the connection between dividend policy, third-party funds, financial performance, and company value, with a focus on IT Innovation as a moderating factor. This research was conducted using a quantitative approach, utilizing Commercial Banks listed on the Indonesia Stock Exchange categorized as BUKU 4 Banks during the period of 2016–2022. This study employed Partial Least Squares (PLS) analysis with WarpPLS 6.0 software as the tool for data analysis. This research concludes that dividend policy does not significantly impact financial performance and company value, while third-party funds have a significant positive effect on both financial performance and company value. Although dividend policy does not directly affect company value, its impact may occur through the mediation of financial performance. Additionally, IT Innovation serves as a moderating factor that strengthens the positive relationship between third-party funds and financial performance towards company value. The novelty of this research lies in the development of a more comprehensive model or concept regarding dividend policy, third-party funds, financial performance as a mediating variable, and company value when considering IT Innovation as a moderating variable.
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(This article belongs to the Section Business and Entrepreneurship)
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The Impact of Stock Price Crash Risk on Bank Dividend Payouts
by
Justin Yiqiang Jin and Yi Liu
J. Risk Financial Manag. 2024, 17(5), 209; https://doi.org/10.3390/jrfm17050209 - 15 May 2024
Abstract
In this study, we examine whether and how banks employ dividend payout policies in response to the risk of stock price crashes. Using a sample of U.S. banks, we find that banks increase their dividend payouts when faced with a higher risk of
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In this study, we examine whether and how banks employ dividend payout policies in response to the risk of stock price crashes. Using a sample of U.S. banks, we find that banks increase their dividend payouts when faced with a higher risk of stock price crashes. In addition, we find that well-capitalized banks tend to pay more dividends when the risk of a stock price crash is elevated. This aligns with the regulatory pressure theory that banks distribute dividends when they have sufficient capital that meets or exceeds the regulatory standards. This is also in line with the signaling theory that dividend payments reflect a bank’s confidence in its financial health. Furthermore, we find that financially opaque banks tend to make more dividend payments when they are at a higher risk of stock price crashes. This supports the agency cost theory, suggesting that dividends counterbalance the need to monitor bank managers in less transparent reporting environments.
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(This article belongs to the Special Issue Financial Accounting)
Open AccessArticle
Application of the New Importance–Performance Analysis Method to Explore the Strategies of Rural Outdoor Dining Experiences in Taiwan
by
Shang-Pin Li
J. Risk Financial Manag. 2024, 17(5), 208; https://doi.org/10.3390/jrfm17050208 - 15 May 2024
Abstract
Taiwan is an island where the city and nature combine to become the most beautiful open-air museum in the world, known as Formosa. With climate change and industrial development as the main changes in consumption behavior, the integration of ecology, the environment, and
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Taiwan is an island where the city and nature combine to become the most beautiful open-air museum in the world, known as Formosa. With climate change and industrial development as the main changes in consumption behavior, the integration of ecology, the environment, and agriculture into food culture is gradually becoming valued in Taiwan. This study explores the quality of the rural outdoor dining experience in Taiwan; therefore, questionnaires were distributed to outdoor dining attendees from the north, central, south, and east, and we obtained 396 valid questionnaires. The rural outdoor dining satisfaction experience can be improved using the innovative New Importance–Performance Analysis (NIPA) model, which is based on the original IPA methodology but modified by the performance of the risk management judge. Additionally, we applied the zone of tolerance (ZOT) to evaluate the quality of priority and the importance–performance analysis (IPA) to make innovation decisions. The model also encourages decision-makers to consider environmental factors and customer feedback. It has not only been used to measure customer satisfaction, assess customer behavior, identify customer needs, and determine areas where quality needs to be improved, but it can also be used to measure the success of business decisions and identify potential areas for improvement. The results show that rural outdoor dining experiences in Taiwan have led to the development of a low carbon economy and a new business model for operators in order to follow the result of NIPA and develop service marketing strategies.
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(This article belongs to the Special Issue Corporate Sustainability and Firm Performance: Models, Practices and Policy Perspective)
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An Inductive Approach to Quantitative Methodology—Application of Novel Penalising Models in a Case Study of Target Debt Level in Swedish Listed Companies
by
Åsa Grek, Fredrik Hartwig and Mark Dougherty
J. Risk Financial Manag. 2024, 17(5), 207; https://doi.org/10.3390/jrfm17050207 - 15 May 2024
Abstract
This paper proposes a method for conducting quantitative inductive research on survey data when the variable of interest follows an ordinal distribution. A methodology based on novel and traditional penalising models is described. The main aim of this study is to pedagogically present
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This paper proposes a method for conducting quantitative inductive research on survey data when the variable of interest follows an ordinal distribution. A methodology based on novel and traditional penalising models is described. The main aim of this study is to pedagogically present the method utilising the new penalising methods in a new application. A case was employed to outline the methodology. The case aims to select explanatory variables correlated with the target debt level in Swedish listed companies. The survey respondents were matched with accounting information from the companies’ annual reports. However, missing data were present: to fully utilise penalising models, we employed classification and regression tree (CART)-based imputations by multiple imputations chained equations (MICEs) to address this problem. The imputed data were subjected to six penalising models: grouped multinomial lasso, ungrouped multinomial lasso, parallel element linked multinomial-ordinal (ELMO), semi-parallel ELMO, nonparallel ELMO, and cumulative generalised monotone incremental forward stagewise (GMIFS). While the older models yielded several explanatory variables for the hypothesis formation process, the new models (ELMO and GMIFS) identified only one quick asset ratio. Subsequent testing revealed that this variable was the only statistically significant variable that affected the target debt level.
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(This article belongs to the Section Mathematics and Finance)
Open AccessArticle
Impact of COVID-19 Travel Subsidies on Stock Market Returns: Evidence from Japanese Tourism Companies
by
Hideaki Sakawa and Naoki Watanabel
J. Risk Financial Manag. 2024, 17(5), 206; https://doi.org/10.3390/jrfm17050206 - 14 May 2024
Abstract
This study examines stock market response (SMR) to the Japanese tourism industry (TI) after the government’s announcement of travel subsidies (TRSs) during the COVID-19 pandemic in 2020, using a sample comprising 80 listed Japanese firms in the TI and an event study method
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This study examines stock market response (SMR) to the Japanese tourism industry (TI) after the government’s announcement of travel subsidies (TRSs) during the COVID-19 pandemic in 2020, using a sample comprising 80 listed Japanese firms in the TI and an event study method (ESM) to determine the impact of government policy responses (GPRs) to the pandemic. This study found that investors in the TI reacted positively to the announcement of subsidies; this positive effect persisted for 50 trading days after the announcement but was weaker for transportation firms. The results suggest that TRSs are important for the TI, with a stronger link to travel-related firms, such as airlines and travel agencies, hotels, and amusement services. However, investors in the TI reacted negatively to policies that directly addressed the pandemic, such as social distance policies (SDPs). These results are robustly confirmed when we measure abnormal returns by using a three-factor model. The results offer useful insights for policymakers and practitioners aiming to mitigate economic loss from disasters such as the COVID-19 pandemic.
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(This article belongs to the Special Issue Financial Markets and Institutions)
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Efficiency in Operations of NASDAQ Listed Technology Companies from 2011 to 2023
by
Suneel Maheshwari and Deepak Raghava Naik
J. Risk Financial Manag. 2024, 17(5), 205; https://doi.org/10.3390/jrfm17050205 - 14 May 2024
Abstract
The performance of technology companies listed on NASDAQ significantly impacts larger economic trends. Investors need specific information to navigate market volatility and make informed decisions in an increasingly complex marketplace. Furthermore, amidst the ongoing digital revolution, legislators and regulatory agencies must comprehend the
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The performance of technology companies listed on NASDAQ significantly impacts larger economic trends. Investors need specific information to navigate market volatility and make informed decisions in an increasingly complex marketplace. Furthermore, amidst the ongoing digital revolution, legislators and regulatory agencies must comprehend the operational dynamics of technology companies to develop frameworks that support innovation while maintaining market stability. Our study assesses the impact on the overall operational efficiency of NASDAQ-listed firms from 2011 to 2023, resulting from the interdependence of critical variables such as selling, general, and administrative expenses (SGA), cost of goods and services sold (COGS), and investments in research and development (R&D). Johansen’s cointegration methodology and pairwise Granger causality tests were employed to unveil long-term relationships, equilibrium adjustments, and causal relationships among the considered variables. The results provide critical insights into the strategic management of operational variables by the listed companies. The economic significance of the results obtained underscores the paramount importance of efficiently managing the cost of goods and services sold to achieve superior operating performance among these leading technology firms.
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(This article belongs to the Section Business and Entrepreneurship)
Open AccessArticle
Actuarial Risk Management Practices and Firm Performance: The Mediating Role of E-Service Innovation
by
Dwi Widianto, Muhtosim Arief, Mohammad Hamsal and Elidjen Elidjen
J. Risk Financial Manag. 2024, 17(5), 204; https://doi.org/10.3390/jrfm17050204 - 14 May 2024
Abstract
Research on actuarial risk management practices (ARMP) and insurance firm performance has revealed inconsistent results. Therefore, a mediating factor such as innovation is needed to bridge between them. Studies exploring the relationship between ARMP and innovation have been largely qualitative. This study offered
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Research on actuarial risk management practices (ARMP) and insurance firm performance has revealed inconsistent results. Therefore, a mediating factor such as innovation is needed to bridge between them. Studies exploring the relationship between ARMP and innovation have been largely qualitative. This study offered a quantitative model focusing on the mediating role of e-service innovation between ARMP and firm performance. The hypothesized relationships were tested using a structural equation model (SEM), with a sample from 98 Indonesian insurance companies and WarpPLS 7.0 as the analytical tool. The results indicated that ARMP significantly influenced e-service innovation but was insignificant for firm performance. Furthermore, the findings highlighted the significant role of e-service innovation in insurance firm performance, which implied that e-service innovation acts as a mediator in the relationship between ARMP and firm performance. The practical application of the research findings makes them directly relevant and beneficial to the insurance industry, especially in Indonesia.
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(This article belongs to the Section Business and Entrepreneurship)
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Analysis of Factors Affecting the Loan Growth of Banks with a Focus on Non-Performing Loans
by
Se-Hak Chun and Namnansuren Ardaaragchaa
J. Risk Financial Manag. 2024, 17(5), 203; https://doi.org/10.3390/jrfm17050203 - 14 May 2024
Abstract
The purpose of this paper is to investigate the intertemporal relationship between the non-performing loan ratio and bank lending and to analyze factors affecting loan growth using data from Mongolian commercial banks. There has been a lack of research on Mongolian banks’ lending
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The purpose of this paper is to investigate the intertemporal relationship between the non-performing loan ratio and bank lending and to analyze factors affecting loan growth using data from Mongolian commercial banks. There has been a lack of research on Mongolian banks’ lending behavior due to their short history. Thus, this paper investigates the effect of the non-performing loan ratio on total loan growth using an ordinary least squares (OLS) regression model with panel data. We used bank-related variables such as the loan-to-deposit ratio, provision-to-gross loan portfolio ratio, equity-to-asset ratio, and liquidity ratio, and economic variables such as the real gross domestic product (GDP) growth rate, interest rate, and inflation rate. The results of this paper show that non-performing loans have a significant negative impact on total loan growth. The implication of this result is that non-performing loans affect banking efficiency, which, in turn, affects financial stability and the real economy. Moreover, high non-performing loans reduce banks’ profits. Also, this paper found that loss reserve and the liquidity ratio have a positive effect on total loan growth, while the effects of the loan-to-deposit ratio and the equity capital ratio were not found to be significant. Additionally, from a macro perspective, the inflation rate has a positive effect on the total loan growth rate, while the interest rate has a positive effect on total loan growth rather than a negative effect. And real gross domestic product (GDP) growth does not affect the total loan growth rate.
Full article
(This article belongs to the Special Issue Financial Markets, Financial Volatility and Beyond (Volume III))
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Navigating Real Estate Investment Trust Performance Dynamics: The Role of Style (Equity vs. Mortgage Real Estate Investment Trusts) and Diversification Amidst the COVID-19 Pandemic
by
Ankita Damani, Anh Tuan Nguyen and FNU Pratima
J. Risk Financial Manag. 2024, 17(5), 202; https://doi.org/10.3390/jrfm17050202 - 13 May 2024
Abstract
In this paper, we investigate the impact of COVID-19 on different performance measures and the risk of US Real Estate Investment Trusts (REITs) with different styles. Our findings suggest a phenomenon with compelling evidence of reduced performance without any significant changes in risk
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In this paper, we investigate the impact of COVID-19 on different performance measures and the risk of US Real Estate Investment Trusts (REITs) with different styles. Our findings suggest a phenomenon with compelling evidence of reduced performance without any significant changes in risk profile amidst the COVID-19 pandemic. Particularly, mortgage REITs (MREITs) appear to be more adversely affected compared to equity REITs (EREITs). We further explore and analyze the performance of specialized REITs in contrast to diversified REITs in the distinctive conditions presented by COVID-19. We find that diversification creates value for the entire sample period, whereas, during the COVID-19 pandemic, property type specialization helps, although the results are weakly significant. The findings on risk suggest investors’ short-run outlook on market reaction. These results remain robust to additional tests. The implications provide insight for investors as a reference to reallocate assets in their portfolios during uncertain times.
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(This article belongs to the Special Issue Realizing Economic Diversification from Diverse Economic Perspectives)
Open AccessArticle
Globalisation of Professional Sport Finance
by
Wladimir Andreff
J. Risk Financial Manag. 2024, 17(5), 201; https://doi.org/10.3390/jrfm17050201 - 13 May 2024
Abstract
The objective of the present paper is to put a milestone on the roadmap toward a global economic system of professional sport, at least as regards its financial dimension, i.e., its model of finance, its ownership, and some new trends in global sport
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The objective of the present paper is to put a milestone on the roadmap toward a global economic system of professional sport, at least as regards its financial dimension, i.e., its model of finance, its ownership, and some new trends in global sport finance. Professional sport went through a radical change during the 1990s when switching from gate receipts to TV rights revenues as its major source of finance and from local/domestic to internationalised/globalised sources of revenue. This change was more marked in European soccer (football) before spreading throughout other professional sport disciplines. In fact, the whole distribution of sport financing was restructured as shown in this paper. Starting from this evidence of the first stage of sport finance globalisation, it appears that new transformations have been at work in sport finance more recently. In particular, soccer moved from globalisation of flows (revenues, finance) to asset globalisation in terms of club ownership. At last, this paper discusses the emergence of new trends in global sport finance such as treating professional (soccer) players as financial assets and crypto-assets penetrating the sports business.
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(This article belongs to the Special Issue Globalization and Economic Integration)
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Encoder–Decoder Based LSTM and GRU Architectures for Stocks and Cryptocurrency Prediction
by
Joy Dip Das, Ruppa K. Thulasiram, Christopher Henry and Aerambamoorthy Thavaneswaran
J. Risk Financial Manag. 2024, 17(5), 200; https://doi.org/10.3390/jrfm17050200 - 12 May 2024
Abstract
This work addresses the intricate task of predicting the prices of diverse financial assets, including stocks, indices, and cryptocurrencies, each exhibiting distinct characteristics and behaviors under varied market conditions. To tackle the challenge effectively, novel encoder–decoder architectures, AE-LSTM and AE-GRU, integrating the encoder–decoder
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This work addresses the intricate task of predicting the prices of diverse financial assets, including stocks, indices, and cryptocurrencies, each exhibiting distinct characteristics and behaviors under varied market conditions. To tackle the challenge effectively, novel encoder–decoder architectures, AE-LSTM and AE-GRU, integrating the encoder–decoder principle with LSTM and GRU, are designed. The experimentation involves multiple activation functions and hyperparameter tuning. With extensive experimentation and enhancements applied to AE-LSTM, the proposed AE-GRU architecture still demonstrates significant superiority in forecasting the annual prices of volatile financial assets from the multiple sectors mentioned above. Thus, the novel AE-GRU architecture emerges as a superior choice for price prediction across diverse sectors and fluctuating volatile market scenarios by extracting important non-linear features of financial data and retaining the long-term context from past observations.
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(This article belongs to the Special Issue Machine Learning Applications in Finance)
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Development of New Products for Climate Change Resilience in South Africa—The Catastrophe Resilience Bond Introduction
by
Thomas Mutsvene and Heinz Eckart Klingelhöfer
J. Risk Financial Manag. 2024, 17(5), 199; https://doi.org/10.3390/jrfm17050199 - 12 May 2024
Abstract
Climate change has brought several natural disasters to South Africa in the form of floods, heat waves, and droughts. Neighbouring countries are also experiencing tropical cyclones, almost on a yearly basis. The insurance sector is faced with an increased level of climate change
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Climate change has brought several natural disasters to South Africa in the form of floods, heat waves, and droughts. Neighbouring countries are also experiencing tropical cyclones, almost on a yearly basis. The insurance sector is faced with an increased level of climate change risk with individuals, corporates, and even the government approaching it for financial cover. However, with an increased level of competition in the insurance sector, (re)insurers must engage in massive product research and development. Therefore, this paper looks at the possibility of the insurance industry developing new products in the form of catastrophe resilience bonds (CAT R Bonds). A qualitative approach is used following content analysis of (re)insurers’ product development policies, marketing documents, company reports, and risk management reports as well as the Conference of Parties 27 and 28 resolution papers. The findings reveal that (re)insurers’ underwriting capacity, reinsurance protection, and innovative and creative product development increase because of CAT R Bonds. CAT R Bonds enhance the interaction between the capital market and money market, thereby giving speculative investors another investment option. Increased investment into new product development such as CAT R Bonds must continue in South Africa in pursuit of climate change resilience goals.
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(This article belongs to the Section Financial Markets)
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The Impact of CSI SEEE Carbon Neutral Index Launched on Order Aggressiveness
by
Zihuang Huang, Xiaoyu Zhang and Kaifeng Li
J. Risk Financial Manag. 2024, 17(5), 198; https://doi.org/10.3390/jrfm17050198 - 11 May 2024
Abstract
In the context of carbon peaking and carbon neutrality goals, in order to clarify the investment direction for investors, China Securities Index Co., Ltd. (CSI) has collaborated with the Shanghai Environmental Energy Exchange to develop the CSI SEEE Carbon Neutral Index (CSCNI), which
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In the context of carbon peaking and carbon neutrality goals, in order to clarify the investment direction for investors, China Securities Index Co., Ltd. (CSI) has collaborated with the Shanghai Environmental Energy Exchange to develop the CSI SEEE Carbon Neutral Index (CSCNI), which has also played a leading role in the subsequent preparation of the Green Finance Index. The launch of this index has sparked research interest among scholars in stimulating investor order aggressiveness. This study employs event study methodology to examine the impact of the CSCNI launch on order aggressiveness. The sample companies are categorized into two groups: deep low-carbon and high-carbon reduction, with a focus on studying buy and sale order aggressiveness. The results indicate that the launch of CSCNI has mobilized order aggressiveness but has led to a negative stock price effect as investors anticipate an increase in environmental costs for the sample companies. Furthermore, we reveal that the long-term growth potential of the deep low-carbon field is more promising compared to the high-carbon reduction sector, making stocks in the deep low-carbon field more attractive. The launch of CSCNI has shown contrasting effects on the buy and sale order aggressiveness of investors, with the impact of the index announcement being more significant on the sample companies. This research provides valuable insights for evaluating the impact of green finance indices and contributes to the understanding of internal mechanisms. It provides an important reference for financial regulators to evaluate the development of the current green index. At the same time, it expands the domestic research on order aggressiveness, which studies the action mechanism of the stock price effect of the green stock index from the perspective of order aggressiveness.
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(This article belongs to the Special Issue Advances in Macroeconomics and Financial Markets)
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