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 - Q1 (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 4.6 days (median values for papers published in this journal in the first half of 2025).
- 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
The Impact of Economic Freedom on Economic Growth in Western Balkan Countries
J. Risk Financial Manag. 2025, 18(8), 461; https://doi.org/10.3390/jrfm18080461 (registering DOI) - 19 Aug 2025
Abstract
Although it is generally accepted that economic freedom stimulates economic growth, its effects in transitional economies are still up for debate. More empirical research is needed to examine the long-term effects of economic freedom on growth in the Western Balkans, a region characterised
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Although it is generally accepted that economic freedom stimulates economic growth, its effects in transitional economies are still up for debate. More empirical research is needed to examine the long-term effects of economic freedom on growth in the Western Balkans, a region characterised by uneven reform trajectories, fiscal pressures, and institutional fragility. This study examines the effects of seven fundamental factors on real GDP per capita growth (annual percentage change) in six Western Balkan nations between 2013 and 2023. These factors include property rights, government spending, government integrity, business freedom, monetary freedom, trade openness, and education spending. Importantly, in order to better capture macroeconomic constraints, it takes into account two fiscal burden indicators: the public debt and the government budget deficit. A triangulated analytical framework is used: Random Forest regression identifies non-linear patterns and ranks the importance of variables; Bayesian Vector Autoregression (VAR) models dynamic interactions and inertia; and the Generalised Method of Moments (GMM) handles endogeneity and reveals causal relationships. The GMM results show that while government integrity (β = −0.0820, p = 0.0206), government spending (β = −0.0066, p = 0.0312), and public debt (β = −0.0172, p = 0.0456) have negative effects on growth, property rights (β = 0.0367, p = 0.0208), monetary freedom (β = 0.0413, p = 0.0221), and the government budget deficit (β = 0.0498, p = 0.0371) have positive and significant effects on growth. Although the majority of economic freedom indicators are statistically insignificant, Bayesian VAR confirms strong growth persistence (GDP(−1) = 0.7169, SE = 0.0373). On the other hand, the Random Forest model identifies the most significant variables as property rights (3.72), public debt (5.88), business freedom (4.65), and government spending (IncNodePurity = 9.80). These results show that the growth effects of economic freedom depend on the context and are mediated by the state of the economy. Market liberalisation and legal certainty promote growth, but their advantages could be offset by inadequate budgetary restraint and difficulties with transitional governance. A hybrid policy approach, one that blends strategic market reforms with improved institutional quality, prudent debt management, and efficient public spending, is necessary for the region to achieve sustainable development.
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(This article belongs to the Section Economics and Finance)
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Open AccessArticle
Sectoral Contributions to Financial Market Resilience: Evidence from GCC Countries
by
Khaled O. Alotaibi, Mohammed A. Al-Shurafa, Meshari Al-Daihani and Mohamed Bouteraa
J. Risk Financial Manag. 2025, 18(8), 460; https://doi.org/10.3390/jrfm18080460 - 19 Aug 2025
Abstract
This study investigates the contributions of five key sectors—insurance, materials, utilities, real estate, and transport—to the financial markets of six Gulf Cooperation Council (GCC) countries from 2004 to 2023. Grounded in the Sectoral Linkage Theory and Endogenous Growth Theory, the study employs a
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This study investigates the contributions of five key sectors—insurance, materials, utilities, real estate, and transport—to the financial markets of six Gulf Cooperation Council (GCC) countries from 2004 to 2023. Grounded in the Sectoral Linkage Theory and Endogenous Growth Theory, the study employs a Panel Autoregressive Distributed Lag (Panel ARDL) model to examine both short-term and long-term sectoral impacts on financial market resilience. The findings reveal that the insurance and transport sectors offer short-term market stimulation, but lack persistent effects. Conversely, the materials, utilities, and real estate sectors exhibit strong, long-run contributions to financial stability and economic diversification. These results highlight the asymmetric impact of sectoral dynamics on market performance in resource-rich contexts. This research contributes to the literature by providing empirical evidence on sectoral interdependence in oil-dependent economies and highlights the importance of structural diversification for sustainable financial resilience. The study provides actionable insights for policymakers and investors seeking to enhance market resilience and reduce reliance on hydrocarbon revenues through targeted sectoral development.
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(This article belongs to the Section Financial Markets)
Open AccessArticle
The Integration of Value-at-Risk in Assessing ESG-Based Collaborative Synergies in Cross-Border Acquisitions: Real Options Approach
by
Andrejs Čirjevskis
J. Risk Financial Manag. 2025, 18(8), 459; https://doi.org/10.3390/jrfm18080459 - 19 Aug 2025
Abstract
This paper presents a novel framework for valuing ESG-based collaborative synergies in cross-border mergers and acquisitions (M&A) using a real options approach, with a specific application to L’Oréal’s acquisition of Aesop. The methodology integrates a Value-at-Risk (VaR) model to quantify and adjust for
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This paper presents a novel framework for valuing ESG-based collaborative synergies in cross-border mergers and acquisitions (M&A) using a real options approach, with a specific application to L’Oréal’s acquisition of Aesop. The methodology integrates a Value-at-Risk (VaR) model to quantify and adjust for ESG-related risks, providing a more robust valuation framework. We demonstrate how linking sustainability practices with real option valuation in multinational corporations (MNCs) can enhance long-term value creation and reduce risk, thereby aligning synergy goals with ESG objectives. By applying our VaR-adjusted model to the L’Oréal–Aesop case, this study contributes to corporate finance by integrating advanced risk management and sustainability into synergy valuation, and to international business by providing an empirical example of this integrated valuation approach for cross-border acquisitions.
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(This article belongs to the Special Issue Finance, Risk and Sustainable Development)
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Banking in the Age of Blockchain and FinTech: A Hybrid Efficiency Framework for Emerging Economies
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Vladimir Ristanović, Dinko Primorac and Ana Mulović Trgovac
J. Risk Financial Manag. 2025, 18(8), 458; https://doi.org/10.3390/jrfm18080458 - 18 Aug 2025
Abstract
In the present era where digitalization, FinTech, and blockchain technologies are reshaping the global financial landscape, traditional measures of bank performance need to evolve. This paper introduces a hybrid approach that combines multi-criteria efficiency assessment and econometric modeling to evaluate bank performance within
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In the present era where digitalization, FinTech, and blockchain technologies are reshaping the global financial landscape, traditional measures of bank performance need to evolve. This paper introduces a hybrid approach that combines multi-criteria efficiency assessment and econometric modeling to evaluate bank performance within the context of digital transformation in emerging economies. Focusing on a panel of banks across selected emerging markets, this study first applies a multi-criteria decision-making technique (Data Envelopment Analysis) to assess operational efficiency using both conventional indicators and digitalization-driven metrics, such as mobile banking penetration and blockchain adoption. We then employ a panel econometric model to investigate the factors that shape efficiency outcomes, with special attention to FinTech and blockchain innovations as potential drivers. The results reveal a nuanced picture of how digital technologies can influence bank performance, highlighting both opportunities and constraints for financial institutions in less developed markets. The findings offer actionable insights for bank managers, regulators, and policymakers striving to balance traditional operational priorities with the demands of digital transformation. By linking efficiency measurement with an examination of the digitalization process, this paper provides a timely contribution to the literature on banking and financial innovation, serving as a foundation for future research and strategic decision-making in the FinTech and blockchain era.
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(This article belongs to the Special Issue Commercial Banking and FinTech in Emerging Economies)
Open AccessArticle
Herding Behavior, ESG Disclosure, and Financial Performance: Rethinking Sustainability Reporting to Address Climate-Related Risks in ASEAN Firms
by
Ari Warokka, Jong Kyun Woo and Aina Zatil Aqmar
J. Risk Financial Manag. 2025, 18(8), 457; https://doi.org/10.3390/jrfm18080457 - 16 Aug 2025
Abstract
This study examines the intersection of environmental, social, and governance (ESG) disclosure (operationalized through sustainability reporting), corporate financial performance, and the behavioral dynamics of herding in capital structure decisions among non-financial firms in five ASEAN countries. As ESG and sustainability finance gain prominence
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This study examines the intersection of environmental, social, and governance (ESG) disclosure (operationalized through sustainability reporting), corporate financial performance, and the behavioral dynamics of herding in capital structure decisions among non-financial firms in five ASEAN countries. As ESG and sustainability finance gain prominence in addressing climate change and climate risk, understanding the behavioral factors that relate to ESG adoption is crucial. Employing a quantitative approach, this research utilizes a purposive sample of 125 non-financial firms from Indonesia, Malaysia, the Philippines, Singapore, and Thailand, gathered from the Bloomberg Terminal spanning 2018–2023. Managerial Herding Ratio (MHR) is used to assess herding behavior, while Sustainability Report Disclosure Index (SRDI) measures ESG disclosure. Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multigroup Analysis (MGA) were applied for data analysis. This research finds that while sustainability reporting enhances return on assets (ROA) and Tobin’s Q, it does not significantly relate to net profit margin (NPM). The findings also confirm that herding behavior—where companies mimic the financial structures of peers—moderates the relationship between sustainability reporting and performance outcomes, with leader firms gaining more from transparency efforts. This highlights the double-edged nature of herding: while it can accelerate ESG adoption, it may dilute the strategic depth of climate action if firms merely follow rather than lead. The study provides actionable insights for regulators and corporate strategists seeking to strengthen ESG finance as a driver for climate resilience and long-term stakeholder value.
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(This article belongs to the Special Issue ESG and Sustainability Finance: Addressing Climate Change and Climate Risk)
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Open AccessArticle
The Impact of Fintech Risk on Bank Performance in Africa: The PVAR Approach
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Queen Magadi Mabe and Beatrice Desiree Simo-Kengne
J. Risk Financial Manag. 2025, 18(8), 456; https://doi.org/10.3390/jrfm18080456 - 15 Aug 2025
Abstract
This paper presents an empirical investigation into the role of Fintech risk, measured by the Fintech Financial Stress Indicator (FFSI), in shaping the dynamic behavior of bank performance by employing a panel vector autoregressive (PVAR) methodology on a dataset comprising 41 banks across
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This paper presents an empirical investigation into the role of Fintech risk, measured by the Fintech Financial Stress Indicator (FFSI), in shaping the dynamic behavior of bank performance by employing a panel vector autoregressive (PVAR) methodology on a dataset comprising 41 banks across 11 African economies over the semi-annual period from June 2004 to December 2020. The findings reveal that bank performance, measured by return on equity (ROE), exhibits a negative and short-lived response to FFSI shock, while the effects on bank stability, cost efficiency, and return on assets (ROA) are statistically insignificant. In addition, an increase in FFSI significantly enhances both ROA and ROE, with negligible impacts on cost efficiency and stability. In contrast, a decline in FFSI has a significant negative effect on ROE and stability but remains insignificant for ROA and cost efficiency. These results indicate that FFSI shocks have asymmetric effects on ROA, cost efficiency, and bank stability but a symmetric effect on ROE. The findings suggest that engagement in financial innovation initiatives may yield performance benefits for banks, provided such strategies are pursued within a sound regulatory framework to mitigate potential excessive risk-taking.
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(This article belongs to the Special Issue Commercial Banking and FinTech in Emerging Economies)
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Open AccessSystematic Review
Financial Education and Personal Finance: A Systematic Review of Evidence, Context, and Implications from the Spanish Language Academic Literature in Latin America
by
Elena Jesús Alvarado-Cáceres, Luz Maribel Vásquez-Vásquez and Víctor Hugo Fernández-Bedoya
J. Risk Financial Manag. 2025, 18(8), 455; https://doi.org/10.3390/jrfm18080455 - 15 Aug 2025
Abstract
The growing complexity of financial markets, driven by globalization and digitalization, has increased the need for individuals to make informed financial decisions. In this context, financial education and personal finance have become crucial areas of study. This systematic review aimed to identify and
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The growing complexity of financial markets, driven by globalization and digitalization, has increased the need for individuals to make informed financial decisions. In this context, financial education and personal finance have become crucial areas of study. This systematic review aimed to identify and analyze the existing scientific evidence on these topics, determine the countries contributing to the literature, and extract key conclusions and lessons. A comprehensive search was conducted across the Scopus, Scielo, and La Referencia databases using keywords in Spanish. The initial query yielded 97 documents, which were filtered using seven inclusion and exclusion criteria, resulting in a final sample of 19 relevant articles. The reviewed studies highlight that financial education is a key factor in promoting economic well-being, reducing over-indebtedness, supporting entrepreneurship, and enhancing social inclusion. The effectiveness of financial education depends on equitable access to information, the use of digital tools, tailored approaches for diverse populations, and systematic program evaluation. The findings suggest that collaborative efforts between governments, educational institutions, and the financial sector are necessary to develop inclusive and practical financial education strategies, particularly for vulnerable populations. Financial education must be approached as a continuous, adaptive process to effectively respond to evolving economic challenges.
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(This article belongs to the Special Issue The New Horizons of Global Financial Literacy)
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Deconstructing the Enron Bubble: The Context of Natural Ponzi Schemes and the Financial Saturation Hypothesis
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Darius Karaša, Žilvinas Drabavičius, Stasys Girdzijauskas and Ignas Mikalauskas
J. Risk Financial Manag. 2025, 18(8), 454; https://doi.org/10.3390/jrfm18080454 - 15 Aug 2025
Abstract
This study examines the Enron collapse through an integrated theoretical framework combining the financial saturation paradox with the dynamics of a naturally occurring Ponzi process. The central objective is to evaluate whether endogenous market mechanisms—beyond managerial misconduct—played a decisive role in the emergence
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This study examines the Enron collapse through an integrated theoretical framework combining the financial saturation paradox with the dynamics of a naturally occurring Ponzi process. The central objective is to evaluate whether endogenous market mechanisms—beyond managerial misconduct—played a decisive role in the emergence and breakdown of the Enron stock bubble. A logistic-growth-based saturation model is formulated, incorporating positive feedback effects and bifurcation thresholds, and applied to Enron’s stock price data from 1996 to 2001. The computations were performed using LogletLab 4 (version 4.1, 2017) and Microsoft® Excel® 2016 MSO (version 2507). The model estimates market saturation ratios (P/Pp) and logistic growth rate (r), treating market potential, initial price, and time as constants. The results indicate that Enron’s share price approached a saturation level of approximately 0.9, signaling a hyper-accelerated, unsustainable growth phase consistent with systemic overheating. This finding supports the hypothesis that a naturally occurring Ponzi dynamic was underway before the firm’s collapse. The analysis further suggests a progression from market-driven expansion to intentional manipulation as the bubble matured, linking theoretical saturation stages with observed price behavior. By integrating behavioral–financial insights with saturation theory and Natural Ponzi dynamics, this work offers an alternative interpretation of the Enron case and provides a conceptual basis for future empirical validation and comparative market studies.
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(This article belongs to the Section Financial Markets)
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Open AccessArticle
Economic Risk and Cryptocurrency: What Drives Global Digital Asset Adoption?
by
Vyacheslav Stupak
J. Risk Financial Manag. 2025, 18(8), 453; https://doi.org/10.3390/jrfm18080453 - 14 Aug 2025
Abstract
Cryptocurrency is often viewed as a hedge against economic instability, yet the extent to which economic risk drives digital asset adoption remains unclear. This study asks to what extent does economic risk shape global cryptocurrency adoption? To address this question, the research investigates
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Cryptocurrency is often viewed as a hedge against economic instability, yet the extent to which economic risk drives digital asset adoption remains unclear. This study asks to what extent does economic risk shape global cryptocurrency adoption? To address this question, the research investigates how variables such as inflation, corruption, unemployment, and exchange rate volatility influence adoption patterns. Using panel data from 41 countries between 2019 and 2024, the study employs country fixed-effects regression models and Principal Component Analysis. A novel Regulatory Permissiveness Index is introduced to evaluate the role of national regulatory environments. The findings show that cryptocurrency adoption is primarily associated with structural enablers such as GDP per capita, internet penetration, and regulatory clarity. Among the economic risk indicators, higher corruption and lower unemployment significantly predict adoption. Other economic factors, such as inflation and exchange rate volatility, are not consistently significant. The results suggest that economic development and digital infrastructure, rather than reactive responses to economic crises, are the main drivers of cryptocurrency adoption. Nonetheless, the significance of corruption highlights the role of institutional dissatisfaction in adoption behaviour, even in economically stable settings.
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(This article belongs to the Special Issue Institutional Investors and Cryptocurrency)
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On the Nature and Security of Expiring Digital Cash
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Frank Stajano, Ferdinando Samaria and Shuqi Zi
J. Risk Financial Manag. 2025, 18(8), 452; https://doi.org/10.3390/jrfm18080452 - 13 Aug 2025
Abstract
Digital cash is coming, and it could be programmed to behave in novel ways. In 2020, the People’s Bank of China ran an experiment during which they distributed free digital cash to 50,000 citizens. But it had a twist: they programmed that digital
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Digital cash is coming, and it could be programmed to behave in novel ways. In 2020, the People’s Bank of China ran an experiment during which they distributed free digital cash to 50,000 citizens. But it had a twist: they programmed that digital cash to expire if not spent within a few days. This fascinating and somewhat paradoxical experiment opens many questions. If the cash expires, why would anyone accept it as payment? If it is intended to expire, can the recipient find ways to make it not expire? We explore a variety of possible attacks on expiring cash, countermeasures to those attacks, and alternative implementations, one based on CBDC and another on a public blockchain. We also discuss the more philosophical question of whether expiring cash is still cash: we argue it cannot be.
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(This article belongs to the Special Issue The Future of Money: Central Bank Digital Currencies, Cryptocurrencies and Stablecoins)
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Influence of Macroeconomic Variables on the Brazilian Stock Market
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Pedro Raffy Vartanian and Rodrigo Lucio Gomes
J. Risk Financial Manag. 2025, 18(8), 451; https://doi.org/10.3390/jrfm18080451 - 13 Aug 2025
Abstract
This research seeks to evaluate the effects of the preceding cyclical indicators and macroeconomic variables on the performance of the Brazilian stock market from January 2011 to December 2022. The objective is to identify how these factors influence the behavior of the main
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This research seeks to evaluate the effects of the preceding cyclical indicators and macroeconomic variables on the performance of the Brazilian stock market from January 2011 to December 2022. The objective is to identify how these factors influence the behavior of the main index representing this market. In this way, it was analyzed how shocks in the composite leading indicator of the economy (IACE) as well as the basic interest rate of the economy (SELIC), the broad national consumer price index (IPCA), the nominal exchange rate (in reals per dollar—BRL/USD) and the central bank economic activity index (IBC-Br) impact the performance of Brazilian stock market index (IBOVESPA). Using the vector autoregression (VAR) model with vector error correction (VEC), positive shocks were simulated in the IACE and the aforementioned macroeconomic variables to identify and compare their impacts on the index. The results obtained, through generalized impulse response functions, indicated that the shocks to the IACE, the exchange rate, and the inflation variables influenced the IBOVESPA in different and statistically significant ways. However, shocks to the economic activity index and the interest rate did not exert a statistically significant influence on the index, partially confirming the hypothesis, which was initially raised, that these factors influence the stock index in different ways.
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(This article belongs to the Section Applied Economics and Finance)
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Detecting Structural Changes in Bitcoin, Altcoins, and the S&P 500 Using the GSADF Test: A Comparative Analysis of 2024 Trends
by
Azusa Yamaguchi
J. Risk Financial Manag. 2025, 18(8), 450; https://doi.org/10.3390/jrfm18080450 - 12 Aug 2025
Abstract
Understanding structural regime shifts in crypto asset markets is vital for early detection of systemic risk. This study applies the Generalized Sup Augmented Dickey–Fuller (GSADF) test to daily high-frequency price data of five major crypto assets—BTC, ETH, SOL, AAVE, and BCH—from 2023 to
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Understanding structural regime shifts in crypto asset markets is vital for early detection of systemic risk. This study applies the Generalized Sup Augmented Dickey–Fuller (GSADF) test to daily high-frequency price data of five major crypto assets—BTC, ETH, SOL, AAVE, and BCH—from 2023 to 2025. The results reveal asset-specific structural breaks: BTC and BCH aligned with macroeconomic shocks, while DeFi tokens (e.g., AAVE, SOL) exhibited fragmented, project-driven shifts. The S&P 500 index, in contrast, showed no persistent regime shifts, indicating greater structural stability. To examine inter-asset linkages, we construct co-occurrence matrices based on GSADF breakpoints. These reveal strong co-explosivity between BTC and other assets, and unexpectedly weak synchronization between ETH and AAVE, underscoring the sectoral idiosyncrasies of DeFi tokens. While the GSADF test remains central to our analysis, we also employ a Markov Switching Model (MSM) as a secondary tool to capture short-term volatility clustering. Together, these methods provide a layered view of long- and short-term market dynamics. This study highlights crypto markets’ structural heterogeneity and proposes scalable computational frameworks for real-time monitoring of explosive behavior.
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(This article belongs to the Section Risk)
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Open AccessArticle
Falling Short in the Digital Age: Evaluating the Performance of Data Center ETFs
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Davinder K. Malhotra, Ivar Kirkhorn and Frank Ragone
J. Risk Financial Manag. 2025, 18(8), 449; https://doi.org/10.3390/jrfm18080449 - 11 Aug 2025
Abstract
This study evaluates the performance of U.S. data center Exchange-Traded Funds (ETFs) relative to major equity and technology benchmarks, using monthly returns from January 2000 through December 2024, with particular emphasis on the COVID-19 period and the subsequent post-vaccine era. Data center ETFs
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This study evaluates the performance of U.S. data center Exchange-Traded Funds (ETFs) relative to major equity and technology benchmarks, using monthly returns from January 2000 through December 2024, with particular emphasis on the COVID-19 period and the subsequent post-vaccine era. Data center ETFs have not provided better risk-adjusted returns even though they are often advertised as access points to the digital economy. Digital infrastructure demand increased through the pandemic but did not improve the performance of these funds which stayed weak across both traditional and conditional multi-factor asset pricing models. These ETFs struggle with asset selection and market timing proficiency, which leads to relatively poor performance results during volatile market conditions. The downside risks linked to these funds tend to match or exceed the downside risks of broader indices like the S&P 1500 Information Technology Index. Although these investments are based on strong thematic narratives, they do not achieve returns that align with investor expectations.
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(This article belongs to the Section Financial Markets)
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Open AccessArticle
The Lunar New Year Effect on Stock Market Returns: Evidence from Ho Chi Minh Stock Exchange
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Loc Dong Truong, H. Swint Friday and Dung Tri Nguyen
J. Risk Financial Manag. 2025, 18(8), 448; https://doi.org/10.3390/jrfm18080448 - 11 Aug 2025
Abstract
This study is devoted to investigating the Lunar New Year effect on market returns for the Ho Chi Minh Stock Exchange (HOSE). The data employed in this study include a daily series of the VN30-Index, which is a market capitalization weighted index of
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This study is devoted to investigating the Lunar New Year effect on market returns for the Ho Chi Minh Stock Exchange (HOSE). The data employed in this study include a daily series of the VN30-Index, which is a market capitalization weighted index of 30 large capitalization and high liquidity stocks traded on the HOSE, for the period from 6 February 2012 to 31 December 2024. The empirical findings derived from ordinary least squares (OLS), exponential-generalized autoregressive conditional heteroskedasticity [EGARCH(1,1)] regression models consistently confirm that the average return in the last two days and five days before the Lunar New Year are significantly higher than the average market returns on other days of the year. However, this study finds that the average return during the first two trading days and five trading days following the Lunar New Year are not significantly different from the average market returns on other days throughout the year.
Full article
(This article belongs to the Special Issue Behavioral Finance and Financial Management)
Open AccessArticle
Development of the ESG Pillar Scores and Data Availability: Empirical Evidence from the Insurance Industry
by
Tim Brasch and Christian Eckert
J. Risk Financial Manag. 2025, 18(8), 447; https://doi.org/10.3390/jrfm18080447 - 11 Aug 2025
Abstract
The aim of this paper is to empirically investigate the development of the ESG score and, in particular, the respective pillar scores, as well as the data availability based on region, firm size, and business sector within the insurance industry. We also analyze
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The aim of this paper is to empirically investigate the development of the ESG score and, in particular, the respective pillar scores, as well as the data availability based on region, firm size, and business sector within the insurance industry. We also analyze the interrelationships of the ESG score and data availability, focusing on descriptive statistics and correlation analysis. For this purpose, we use data from the London Stock Exchange Group (LSEG), over a period of 13 years (2010–2022). Our results show that region, firm size, and the different core businesses of insurers lead to different developments in ESG scores and data availability. Differences can also be found in the general level of the scores. However, there is no clear pattern in the evolution of ESG scores and data availability. Furthermore, we find significant and strong interrelationships within the ESG score and its data availability. In summary, the findings of this study provide a foundation for improving the interpretation and application of ESG metrics.
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(This article belongs to the Special Issue Environmental, Social, and Governance (ESG), Corporate Social Responsibility (CSR), and Green Finance)
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Investigation of the Antecedents of Digital Transformation and Their Effects on Operational Performance in the Jordanian Manufacturing Sector
by
Hebah Almajali, Nawaf Thuneibat and Nour Qatawneh
J. Risk Financial Manag. 2025, 18(8), 446; https://doi.org/10.3390/jrfm18080446 - 11 Aug 2025
Abstract
Digitalization is viewed as an important promoter of competitiveness, offering future avenues to new value and revenue opportunities. Nevertheless, the factors that determine the drivers of digital transformation (DT) adoption still need to be explored and understood further. Based on the RBV and
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Digitalization is viewed as an important promoter of competitiveness, offering future avenues to new value and revenue opportunities. Nevertheless, the factors that determine the drivers of digital transformation (DT) adoption still need to be explored and understood further. Based on the RBV and institutional theory, this study examines the roles played by organizational culture, IT readiness, and customer demands of firms in the implementation of DT and the consequent improvement of operational performance. The results of a survey carried out among 226 manufacturing companies in Jordan indicate that these antecedent factors have a significant and positive effect on the adoption of DT and operational performance. The results also demonstrate that the implementation of DT enhances the operational performance of firms by increasing their efficiency and effectiveness. This research adds to the existing literature on digital transformation through an examination of the antecedents of its adoption. These findings are useful, as they assist firms in viewing digital transformation as an overarching opportunity that needs to be leveraged to improve their operational performance and competitiveness.
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(This article belongs to the Special Issue AI and Emerging Technologies in Governance, Risk and Earnings Management)
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Open AccessArticle
Inequality in Housing Payment Insecurity Across the United States During the COVID-19 Pandemic: Who Was Affected and Where?
by
Xinba Li and Chuanrong Zhang
J. Risk Financial Manag. 2025, 18(8), 445; https://doi.org/10.3390/jrfm18080445 - 10 Aug 2025
Abstract
Widespread job losses and economic disruptions during the COVID-19 pandemic led to significant housing payment insecurity, disproportionately affecting various demographic groups and regions across the United States (US). While previous studies have explored the pandemic’s impact on housing insecurity, they all focused on
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Widespread job losses and economic disruptions during the COVID-19 pandemic led to significant housing payment insecurity, disproportionately affecting various demographic groups and regions across the United States (US). While previous studies have explored the pandemic’s impact on housing insecurity, they all focused on specific periods, populations or areas. No study has yet provided a comprehensive analysis of inequality in housing insecurity throughout the pandemic, particularly in terms of spatial disparities. Our study addresses this gap by analyzing individual-level and aggregated data from the Household Pulse Survey (HPS) (N = 2,062,005). The findings reveal heightened vulnerability among individuals aged 40–54, those with lower education and income, Black and Hispanic/Latino populations, women, households with children, individuals who experienced job loss, the divorced, and larger households. Renters experienced greater housing insecurity than homeowners. A hotspot analysis identified the southeastern US as a region of acute housing insecurity, revealing that insecurity cannot be solely measured by affordability. The regression results show that poverty is the main reason for differences in housing insecurity across places, and rent burden is also important. The geographically weighted regression (GWR) model shows stronger coefficients in southern states, highlighting that poverty and rent burden are particularly influential factors in these areas. This study shows the multifaceted nature of housing insecurity, calling for targeted group or location policy interventions.
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(This article belongs to the Section Financial Markets)
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Dynamic Spillovers Among Green Bond Markets: The Impact of Investor Sentiment
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Thuy Duong Le, Ariful Hoque and Thi Le
J. Risk Financial Manag. 2025, 18(8), 444; https://doi.org/10.3390/jrfm18080444 - 8 Aug 2025
Abstract
This research investigates the dynamic spillover effects among green bond markets and the impact of investor sentiment on these spillovers. We employ different research methods, including a time-varying parameter vector autoregression, an exponential general autoregressive conditional heteroscedasticity, and a generalized autoregressive conditional heteroskedasticity-mixed
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This research investigates the dynamic spillover effects among green bond markets and the impact of investor sentiment on these spillovers. We employ different research methods, including a time-varying parameter vector autoregression, an exponential general autoregressive conditional heteroscedasticity, and a generalized autoregressive conditional heteroskedasticity-mixed data sampling model. Our sample is for twelve international green bond markets from 3 January 2022 to 31 December 2024. Our results evidence the strong correlation between twelve green bond markets, with the United States and China being the net risk receivers and Sweden being the largest net shock transmitter. We also find the varied impact of direct and indirect investor sentiment on the net total directional spillovers. Our research offers fresh contributions to the existing literature in different ways. On the one hand, it adds to the green finance literature by clarifying the dynamic spillovers among leading international green bond markets. On the other hand, it extends behavioral finance research by including direct and indirect investor sentiment in the spillovers of domestic and foreign green bond markets. Our study is also significant to related stakeholders, including investors in their portfolio rebalancing and policymakers in stabilizing green bond markets.
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(This article belongs to the Special Issue Borrowers’ Behavior in Financial Decision-Making)
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Open AccessArticle
Unlocking Innovation from Within: The Role of Internal Knowledge in Enhancing Firm Performance in Sub-Saharan Africa
by
Johnson Bosco Rukundo and Bernis Byamukama
J. Risk Financial Manag. 2025, 18(8), 443; https://doi.org/10.3390/jrfm18080443 - 8 Aug 2025
Abstract
This paper examines the role of internal knowledge in driving innovation and firm performance in sub-Saharan Africa, using panel data from the World Bank Enterprise Surveys covering fifteen countries in the region. Specifically, the analysis assesses the extent to which internal knowledge, measured
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This paper examines the role of internal knowledge in driving innovation and firm performance in sub-Saharan Africa, using panel data from the World Bank Enterprise Surveys covering fifteen countries in the region. Specifically, the analysis assesses the extent to which internal knowledge, measured through employee educational attainment, stimulates innovation, and whether innovation, in turn, contributes to improved firm performance. The findings reveal that internal knowledge has a significant positive effect on innovation, and that both internal knowledge and innovation are key drivers of firm performance in developing country contexts. These results underscore the strategic importance of building firm-level knowledge capabilities to enhance competitiveness, particularly among manufacturing firms. The study offers valuable policy implications, emphasizing the need to strengthen internal learning systems, workforce skills, and innovation support mechanisms to foster inclusive industrial growth in sub-Saharan Africa.
Full article
(This article belongs to the Special Issue Sustainable Production: Finance, Technology, and Institutional Quality)
Open AccessArticle
Driving Financial Inclusion in Indonesia with Innovative Credit Scoring
by
Latif Adam, Jiwa Sarana, Bitra Suyatno, Muhammad Soekarni, Joko Suryanto, Tuti Ermawati, Yeni Saptia, Septian Adityawati, Erla Mychelisda, Yogi Pamungkas, M. Rifqy Nurfauzan Abdillah, Lisa Angelia and Mahmud Thoha
J. Risk Financial Manag. 2025, 18(8), 442; https://doi.org/10.3390/jrfm18080442 - 7 Aug 2025
Abstract
Innovative Credit Scoring (ICS) holds promise for reshaping financial inclusion in Indonesia, offering a potent alternative to conventional credit assessments that often exclude underserved populations. By leveraging alternative data—from telco records to e-commerce and social media footprints—and AI/ML technologies, ICS can deliver more
[...] Read more.
Innovative Credit Scoring (ICS) holds promise for reshaping financial inclusion in Indonesia, offering a potent alternative to conventional credit assessments that often exclude underserved populations. By leveraging alternative data—from telco records to e-commerce and social media footprints—and AI/ML technologies, ICS can deliver more accurate, inclusive, and responsive credit evaluations. However, its potential is constrained by structural inefficiencies and weak regulatory frameworks. This study employs a qualitative, exploratory design based on eight focus group discussions with 36 stakeholders, including regulators, financial institutions, data providers, and academics. Thematic analysis reveals three core barriers: fragmented regulation, limited data interoperability, and algorithmic opacity. To address these challenges, the paper recommends four policy priorities: (1) enforce and expand POJK 29/2024; (2) establish interoperable, integrated MSME data systems; (3) mandate algorithm audits to reduce bias and opacity; and (4) invest in digital infrastructure to close regional access gaps. Without these systemic shifts, ICS may fall short of its inclusive promise.
Full article
(This article belongs to the Special Issue Financial Inclusion Strategies: Emerging Trends and Global Perspectives)
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