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Accrual-Based Earnings Management in Cross-Border Mergers and Acquisitions: The Role of Institutional Differences and Geographic Distance
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Navigating the Trade-Offs: The Impact of Aggressive Working Capital Policies on Stock Return Volatility
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A Supply and Demand Framework for Bitcoin Price Forecasting
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Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading
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Blockchain Technology in the Process of Financing the Construction and Purchase of Commercial Vessels
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 21 days after submission; acceptance to publication is undertaken in 3.8 days (median values for papers published in this journal in the second 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.
Latest Articles
Economic Viability and Flexibility of the South Pasopati Coal Project, Indonesia: A Real Options Approach Under Market Volatility and Carbon Pricing
J. Risk Financial Manag. 2025, 18(5), 225; https://doi.org/10.3390/jrfm18050225 - 23 Apr 2025
Abstract
This study evaluates the economic viability of the South Pasopati Coal Project in Indonesia, addressing market volatility, carbon pricing policies, and the country’s energy transition towards Net Zero Emissions (NZE). Given Indonesia’s reliance on coal and the increasing global shift toward renewable energy,
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This study evaluates the economic viability of the South Pasopati Coal Project in Indonesia, addressing market volatility, carbon pricing policies, and the country’s energy transition towards Net Zero Emissions (NZE). Given Indonesia’s reliance on coal and the increasing global shift toward renewable energy, traditional valuation methods such as Discounted Cash Flow (DCF) may not adequately capture uncertainty and strategic flexibility. The study applies Real Options Valuation (ROV), integrating Monte Carlo Simulation (MCS) and Binomial Lattice Modeling, to assess project feasibility under various scenarios. The research compares three valuation scenarios: the base scenario (eastern route), an alternative scenario (western route), and a carbon pricing scenario. Results indicate that while the DCF method estimates a positive Net Present Value (NPV) for the base scenario, it fails to incorporate price volatility risks. The ROV method, however, captures managerial flexibility and provides a more robust valuation, showing an Expanded NPV (ENPV) that better reflects market uncertainties. Findings suggest that implementing ROV improves decision-making, particularly in volatile markets. The study underscores the necessity for Indonesia to adopt more flexible valuation frameworks to enhance investment decisions in the coal sector while aligning with international environmental standards.
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(This article belongs to the Special Issue Featured Papers in Climate Finance)
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Open AccessArticle
The t-Distribution in Financial Mathematics and Multivariate Testing Contexts
by
Eugene Seneta and Thomas Fung
J. Risk Financial Manag. 2025, 18(5), 224; https://doi.org/10.3390/jrfm18050224 - 22 Apr 2025
Abstract
The Student’s t-distribution provides a thematic connection between the historical and technical elements of this paper. The historical section offers a brief account of the early contributions of Chris Heyde and his collaborations with Madan and Seneta in the development of financial
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The Student’s t-distribution provides a thematic connection between the historical and technical elements of this paper. The historical section offers a brief account of the early contributions of Chris Heyde and his collaborations with Madan and Seneta in the development of financial mathematics. The technical section focuses on hypothesis testing, motivated by the observation that, in a setting with pairwise exchangeable dependence for test statistics, the cutoff methods proposed by Sarkar and colleagues in 2016 can be viewed as a first iteration of the classical approach developed by Holm in 1979. These methods had already been refined earlier by Seneta and Chen in their work from 1997 and 2005, which laid the foundation for further improvements. Building on this, a new iteration of the Seneta-Chen method is presented, offering enhancements over the Sarkar approach. Numerical and graphical comparisons are provided, focusing on equal tails testing within the multivariate t-distribution framework. While the tabulated results clearly show improvements with the new procedure, the simulated family-wise error rates across varying correlations reveal only minor practical differences between the iterative methods. This suggests that, under suitable conditions, a single iteration suffices in practice. The paper concludes with personal reflections from the first author, sharing memories of Joe Gani and Chris Heyde, in keeping with the commemorative nature of this issue.
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(This article belongs to the Special Issue Featured Papers in Finance and Society Wellbeing—in Honor of Professors Joe Gani and Chris Heyde)
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Energy Supply Shock on European Stock Markets: Evidence from the Russia–Ukraine War
by
Fabrizio Rossi, Yinan Ni, Antonio Salvi, Yanfei Sun and Richard J. Cebula
J. Risk Financial Manag. 2025, 18(5), 223; https://doi.org/10.3390/jrfm18050223 - 22 Apr 2025
Abstract
This study empirically investigates the impacts of the Russia–Ukraine war on the performance of brown and green stocks in Europe. Analyzing stocks listed on exchanges in 25 European countries, we find that, prior to this war, stocks of more energy-dependent firms (brown stocks)
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This study empirically investigates the impacts of the Russia–Ukraine war on the performance of brown and green stocks in Europe. Analyzing stocks listed on exchanges in 25 European countries, we find that, prior to this war, stocks of more energy-dependent firms (brown stocks) yielded higher returns compared to those of less energy-dependent firms (green stocks). However, after the unexpected Russian invasion, brown stocks underperformed relative to green stocks. As the conflict reached a stalemate and energy supplies were restored, brown stocks regained their advantage over green stocks. Additionally, brown stocks exhibited greater volatility following the invasion. Utilizing various factor models, we identify a pronounced negative energy risk premium during the initial Russia–Ukraine war outbreak period. This study highlights the dynamic stock market responses to energy supply and regulatory changes in Europe, reflecting the market’s evolving perception of energy supply risks and regulatory risks linked to the transition towards a net-zero economy.
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(This article belongs to the Section Sustainability and Finance)
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Unraveling the Dynamics of Corporate Dividend Policy: Evidence from the Property-Liability Insurance Industry
by
Yiling Deng, Michael Casey, Haibo Yao and Ning Wang
J. Risk Financial Manag. 2025, 18(5), 222; https://doi.org/10.3390/jrfm18050222 - 22 Apr 2025
Abstract
What drives corporate dividend policy remains an unsettled issue, largely due to data limitations, as many privately held firms do not need to disclose their financial reports publicly. We examine and compare the dividend policies of firms with three distinct ownership structures—publicly held
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What drives corporate dividend policy remains an unsettled issue, largely due to data limitations, as many privately held firms do not need to disclose their financial reports publicly. We examine and compare the dividend policies of firms with three distinct ownership structures—publicly held stock insurers, privately held stock insurers, and mutual insurers—within the U.S. property-liability insurance industry. Our findings indicate that publicly held insurers are more likely to distribute dividends and tend to pay higher dividends compared to privately held insurers, with mutual insurers paying the least in the matched sample. We found that mutual insurers’ dividend policies are more sensitive to cash flow, whereas stock insurers’ policies are more responsive to profits. We show that private insurers have significantly less smoothness in dividend policies. Our findings highlight the significant role that ownership structure plays in shaping corporate dividend policies.
Full article
(This article belongs to the Section Business and Entrepreneurship)
Open AccessArticle
The Effects of Bilateral and Multilateral Official Development Assistance on Vietnam’s Economic Growth
by
Loc Dong Truong, H. Swint Friday and Anh Thoai Ly
J. Risk Financial Manag. 2025, 18(4), 221; https://doi.org/10.3390/jrfm18040221 - 21 Apr 2025
Abstract
This study investigates the effects of bilateral and multilateral official development assistance on Vietnam’s economic growth from 1986 to 2022. Utilizing the autoregressive distributed lag (ARDL) bounds testing approach, our results show that in the shortrun, bilateral official development assistance has a significant
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This study investigates the effects of bilateral and multilateral official development assistance on Vietnam’s economic growth from 1986 to 2022. Utilizing the autoregressive distributed lag (ARDL) bounds testing approach, our results show that in the shortrun, bilateral official development assistance has a significant positive influence on economic growth, whereas multilateral official development assistance has a significant negative influence on economic growth. However, the empirical findings reveal that both bilateral and multilateral official development assistance have no influence on economic growth in the longterm. Given that bilateral official development assistance has a significantly positive impact on economic growth in the shortrun, Vietnam should strengthen partnerships with donor countries. Tailoring projects to align with bilateral donors’ interests can lead to more effective interventions. In addition, multilateral official development assistance has been found to have a negative impact on economic growth in the shortrun, possibly due to complex approval and implementation processes. Therefore, the government should advocate for more flexible project requirements and reduce bureaucratic hurdles. Simplifying the approval process can help accelerate project implementation and enhance immediate economic benefits. Moreover, because official development assistance does not impact on economic growth in the longterm, Vietnam should focus on sustainable development strategies that reduce dependency on external aid. This includes investing in human capital, innovation, and technology to foster endogenous growth.
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(This article belongs to the Section Applied Economics and Finance)
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Open AccessEditorial
Featured Papers in Corporate Finance and Governance
by
Ștefan Cristian Gherghina
J. Risk Financial Manag. 2025, 18(4), 220; https://doi.org/10.3390/jrfm18040220 - 21 Apr 2025
Abstract
Amid global uncertainties and economic fluctuations, enterprises play a crucial role in fostering sustainable growth and high-quality development through innovative and responsible practices (Xin et al [...]
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(This article belongs to the Special Issue Featured Papers in Corporate Finance and Governance)
Open AccessArticle
Financial Literacy and Leadership Skills Among Healthcare Professionals in Greece
by
Georgios Pakos and Panagiotis Mpogiatzidis
J. Risk Financial Manag. 2025, 18(4), 219; https://doi.org/10.3390/jrfm18040219 - 18 Apr 2025
Abstract
Healthcare professionals require comparable knowledge and abilities in hospital financial administration. In addition, many physicians are not equipped to manage the leadership roles that healthcare systems require, namely the capacity to express a vision, convey it to others, garner willing support for it,
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Healthcare professionals require comparable knowledge and abilities in hospital financial administration. In addition, many physicians are not equipped to manage the leadership roles that healthcare systems require, namely the capacity to express a vision, convey it to others, garner willing support for it, and enable others to be leaders in return. Previous studies have demonstrated that physicians often lack financial literacy, while a recent systematic review and meta-analysis showed that healthcare professionals lack adequate financial literacy, although top healthcare practitioners and executive nurse leaders are encouraged to develop knowledge and abilities outside of their clinical specialty. The need for medical practitioners to receive training and experience in medical leadership has also been discussed in earlier studies. In Greece, evidence regarding the financial literacy levels and leadership skills among healthcare professionals is lacking, although physicians and nurses are required to obtain managerial and administrative roles as they progress in their positions. Our objective was to assess healthcare professionals’ levels of financial literacy and investigate the relationship between financial literacy and leadership skills in Greece. We conducted a prospective, multi-centered, question-based survey among healthcare professionals in several institutions in Northern Greece. Participants were asked to fill out basic demographic questions, the OECD/INFE Toolkit for Measuring Financial Literacy and Financial Inclusion 2022, and the Leadership Skills questionnaire, translated into Greek. The factorability of the questionnaires was examined with factor analysis, while the internal consistency was examined with Cronbach’s alpha. A linear correlation of leadership scores with financial literacy scores was performed with the Spearman rho, and multivariate regression analysis examined the correlation of the leadership score with financial literacy scores, adjusted for the type of task, education, status, gender, and age. The overall financial literacy score for all healthcare professionals was 69.14 ± 13.25%, which was higher compared to the average for the Greek population. Male healthcare professionals with administrative tasks had significantly higher overall financial literacy and digital financial literacy scores than females, or professionals without administrative tasks, as well as higher scores in all areas of leadership. Physicians had significantly higher overall financial literacy scores than nurses and significantly lower digital financial behavior and digital finance trend scores. Still, physicians scored significantly lower than nurses in all areas of leadership skills. There was a strong correlation between overall financial and digital financial literacy scores with leadership skills scores. Future research is warranted to explore how formal financial and leadership education included in the training programs of healthcare professionals would empower physicians by enabling them to make proactive decisions regarding their financial and managerial destiny.
Full article
(This article belongs to the Section Financial Markets)
Open AccessArticle
Multi-Period Portfolio Optimization Model with Cone Constraints and Discrete Decisions
by
Ümit Sağlam and Hande Y. Benson
J. Risk Financial Manag. 2025, 18(4), 218; https://doi.org/10.3390/jrfm18040218 - 18 Apr 2025
Abstract
This work develops a practical multi-period optimization approach that incorporates real-world constraints, including discrete decisions and conic risk constraints. Expanding upon earlier single-period models, our framework employs a binary scenario tree derived from monthly returns of randomly selected S&P 500 stocks to represent
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This work develops a practical multi-period optimization approach that incorporates real-world constraints, including discrete decisions and conic risk constraints. Expanding upon earlier single-period models, our framework employs a binary scenario tree derived from monthly returns of randomly selected S&P 500 stocks to represent market evolution across multiple periods. The formulation captures essential portfolio constraints, such as transaction fees, sector diversification, and minimum investment thresholds, resulting in a robust and comprehensive optimization approach. To efficiently solve the resulting mixed-integer second-order cone programming (MISOCP) problem, we employ an outer approximation algorithm with a warmstart strategy, which significantly improves solution runtimes and computational efficiency. Numerical experiments demonstrate the model’s effectiveness, showing an average improvement of in iteration count and in computational time when using the warmstart approach.
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(This article belongs to the Special Issue Computational Finance and Financial Econometrics)
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Adoption of Artificial Intelligence-Driven Fraud Detection in Banking: The Role of Trust, Transparency, and Fairness Perception in Financial Institutions in the United Arab Emirates and Qatar
by
Hadeel Yaseen and Asma’a Al-Amarneh
J. Risk Financial Manag. 2025, 18(4), 217; https://doi.org/10.3390/jrfm18040217 - 18 Apr 2025
Abstract
This paper examines the uptake of AI-driven fraud detection systems among financial institutions in the UAE and Qatar, with a special focus on trust, transparency, and perceptions of fairness. Despite the promise of AI operations in identifying financial anomalies, unclear decision-making processes and
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This paper examines the uptake of AI-driven fraud detection systems among financial institutions in the UAE and Qatar, with a special focus on trust, transparency, and perceptions of fairness. Despite the promise of AI operations in identifying financial anomalies, unclear decision-making processes and algorithmic bias constrain its extensive acceptance, especially in regulation-driven banking sectors. This study uses a quantitative strategy based on Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi-Group Analysis (MGA) of survey responses from 409 bank professionals, such as auditors and compliance officers. This study shows that transparency greatly enhances trust, which is the leading predictor of AI uptake. Fairness perception mediates the negative impacts of algorithmic bias, emphasizing its important role in establishing system credibility. The analysis of subgroups shows differential regional and professional variations in trust and fairness sensitivity, where internal auditors and highly AI-exposed subjects are found to exhibit higher adoption preparedness. Compliance with regulations also emerges as a positive enabler of adoption. This paper concludes with suggestions for practical implementation by banks, developers, and regulators to align AI deployment with ethical and regulatory aspirations. It recommends transparent, explainable, and fairness-sensitive AI tools as essential for promoting adoption in regulation-driven sectors. The findings provide a guide for promoting responsible, trust-driven AI implementation in fraud detection.
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(This article belongs to the Special Issue Innovations in Accounting Practices)
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Balancing Financial Risks with Social and Economic Benefits: Two Case Studies of Private Sector Water, Sanitation, and Hygiene Suppliers in Rural Vietnam
by
Lien Pham
J. Risk Financial Manag. 2025, 18(4), 216; https://doi.org/10.3390/jrfm18040216 - 17 Apr 2025
Abstract
This paper examines the financial health risks that private sector water, sanitation, and hygiene (WASH) businesses in rural Vietnam face. It investigates the challenges faced by water operators and sanitation suppliers involved in donor-funded development projects aimed at supporting poor and vulnerable households.
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This paper examines the financial health risks that private sector water, sanitation, and hygiene (WASH) businesses in rural Vietnam face. It investigates the challenges faced by water operators and sanitation suppliers involved in donor-funded development projects aimed at supporting poor and vulnerable households. Through surveys and focus group discussions with 15 suppliers who worked in public–private partnerships, this research examines the financial risk factors affecting water and sanitation suppliers and their impact on financial viability through two case studies. For water operators, the risks primarily involve infrastructure management, operational costs, and revenue instability. In the sanitation sector, risks center around fluctuating material prices, limited business expansion capital, and household affordability. This study highlights the dual role of government and donor subsidies, which enhance service accessibility but potentially distort market dynamics. It also underscores the need for targeted financial and policy interventions, including better access to microfinance, regulatory improvements, and human resource development. The findings aim to inform strategies for government, donors, and private sector actors in similar WASH development contexts to enhance financial sustainability, ensuring inclusive WASH services in underserved areas. This paper contributes to policy discussions by proposing mechanisms to balance public–private collaboration while fostering market resilience and equitable access to WASH services in emerging economies similar to that of Vietnam.
Full article
(This article belongs to the Special Issue Finance, Risk and Sustainable Development)
Open AccessArticle
Accuracy Comparison Between Feedforward Neural Network, Support Vector Machine and Boosting Ensembles for Financial Risk Evaluation
by
Dat Tran and Allan W. Tham
J. Risk Financial Manag. 2025, 18(4), 215; https://doi.org/10.3390/jrfm18040215 - 15 Apr 2025
Abstract
Loan defaults have become an increasing concern for lending institutions, presenting significant challenges to profitability and operational stability. However, with the advent of advanced data processing capabilities, greater data availability, and the development of sophisticated machine learning techniques—particularly neural networks—new opportunities have emerged
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Loan defaults have become an increasing concern for lending institutions, presenting significant challenges to profitability and operational stability. However, with the advent of advanced data processing capabilities, greater data availability, and the development of sophisticated machine learning techniques—particularly neural networks—new opportunities have emerged for classifying and predicting loan defaults beyond traditional manual methods. This, in turn, can reduce risk and enhance overall financial performance. In recent years, institutions have increasingly employed these advanced techniques to mitigate the risk of non-performing loans (NPLs) by improving loan approval efficiency. This study aims to address a gap in the literature by examining the predictive performance of different neural network architectures on financial loan datasets. Specifically, it compares the effectiveness of Feedforward Neural Networks (FNNs), Long Short-Term Memory (LSTM) networks, and one-dimensional Convolutional Neural Networks (1D-CNNs) in forecasting loan defaults. Despite the growing body of research in this area, comparative studies focusing on the application of various neural network techniques to loan default prediction remain relatively scarce.
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(This article belongs to the Special Issue Featured Papers in Finance and Society Wellbeing—in Honor of Professors Joe Gani and Chris Heyde)
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Open AccessReview
Financial and Administrative Management Models for Digital Ventures: A Literature Review
by
Laura Constanza Gallego Cossio, Ludivia Hernández Aros, Darío Rodríguez Perdomo and Mario Samuel Rodríguez Barrero
J. Risk Financial Manag. 2025, 18(4), 214; https://doi.org/10.3390/jrfm18040214 - 15 Apr 2025
Abstract
Financial and administrative management models are crucial to the success of digital ventures, providing practices that optimize resource management and support strategic decision-making in dynamic digital environments. This study presents an original systematic literature review (SLR) following the PRISMA guidelines, analyzing 354 articles
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Financial and administrative management models are crucial to the success of digital ventures, providing practices that optimize resource management and support strategic decision-making in dynamic digital environments. This study presents an original systematic literature review (SLR) following the PRISMA guidelines, analyzing 354 articles extracted from Scopus and Web of Science databases. Bibliometric techniques, including VOSViewer 1.6.19 version and R-Bibliometrix software 4.3.3 version, were used to identify key research themes, emerging trends, and future directions in the field. A notable 114.29% increase in academic output from 2019 to 2024 underscores the growing importance of these management models. The analysis reveals a focus on financial management tools (e.g., Valuation, Discounted Cash Flow models) and administrative models (e.g., RocaSalvatella, INCIPY), while also exploring the challenges and opportunities present in digital environments. The interaction between external variables (resource management, operational efficiency, adaptability, financial planning, technological innovation) and internal variables (market conditions, government regulations, economic trends) is discussed. This study highlights the integration of agile methodologies, such as Lean Startup, and the growing emphasis on digital resilience, organizational agility, and the impact of digital transformation on business models. The theoretical contribution of this study lies in offering a comprehensive framework that synthesizes existing models, highlights key research gaps, and emphasizes the need for future studies on the dynamic interaction between financial planning, technological innovation, and organizational agility. From a practical perspective, the findings provide digital entrepreneurs and managers with valuable insights into implementing financial tools and administrative frameworks that enhance decision-making, while also underscoring the importance of agility, operational efficiency, and market adaptability to navigate digital disruptions.
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(This article belongs to the Section Business and Entrepreneurship)
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The Moderating Role of Worldwide Governance Indicators on ESG–Firm Performance Relationship: Evidence from Europe
by
Rezart Demiraj, Enida Demiraj and Suzan Dsouza
J. Risk Financial Manag. 2025, 18(4), 213; https://doi.org/10.3390/jrfm18040213 - 14 Apr 2025
Abstract
Engaging in Environmental, Social, and Governance (ESG) activities entails costs that influence a firm’s financial and market performance. However, it is expected that the long-term benefits of ESG engagement outweigh these costs, leading to superior performance. Despite extensive research on the ESG–performance relationship,
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Engaging in Environmental, Social, and Governance (ESG) activities entails costs that influence a firm’s financial and market performance. However, it is expected that the long-term benefits of ESG engagement outweigh these costs, leading to superior performance. Despite extensive research on the ESG–performance relationship, findings remain mixed. This study examines the moderating effect of country governance, measured by the Worldwide Governance Indicators (WGIs), on the relationship between firms’ ESG scores and their financial and market performance in the European context. Using a two-stage least squares (2SLS) regression model and a dataset spanning 12 years (2011–2022) for 2083 listed European firms, we find that WGI significantly moderates the ESG–performance relationship. Our results indicate that ESG engagement alone has a negative impact on financial performance (ROA), suggesting that the costs associated with ESG investments often outweigh their short-term benefits. However, strong governance structures mitigate these costs, transforming ESG investments into value-enhancing activities. Conversely, ESG engagement positively influences market performance (Tobin’s Q), signaling long-term value to investors. Yet, in jurisdictions with strong governance frameworks, this effect diminishes, as ESG compliance becomes a baseline expectation rather than a differentiating factor.
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(This article belongs to the Special Issue Finance, Risk and Sustainable Development)
Open AccessArticle
Fintechs and Institutions: Evidence from an Emerging Economy
by
Diogo Campos-Teixeira, Jorge Tello-Gamarra, João Reis, André Andrade Longaray and Martin Hernani-Merino
J. Risk Financial Manag. 2025, 18(4), 212; https://doi.org/10.3390/jrfm18040212 - 14 Apr 2025
Abstract
Institutions play a vital role in restricting or encouraging the performance of any economic agent. In this context, fintechs represent a vector of exponential change in the global financial system and its institutions. However, despite the existing relationship between fintechs and institutions, there
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Institutions play a vital role in restricting or encouraging the performance of any economic agent. In this context, fintechs represent a vector of exponential change in the global financial system and its institutions. However, despite the existing relationship between fintechs and institutions, there is a need for more studies exploring the connections between them. Beginning with a framework that integrates aspects of the relation between fintechs and institutions in the financial system, the objective of this article is to empirically demonstrate the interaction between fintechs and financial system institutions in an emerging country. To do so, the chosen research method was an embedded case study, which involved documental analysis and semi-structured interviews conducted with different agents in the Brazilian financial system, belonging to the following categories: technology providers, fintechs, regulatory institutions, financial institutions, and consumers. The findings validate the applicability of the theoretical framework, highlighting that fintechs drive institutional changes across stakeholders with different characteristic traits. Based on these results, we created theoretical propositions that guide future studies on the topic of fintechs and institutions. This study’s contributions provide valuable insights for financial policymakers, regulators, and technology providers, particularly regarding the adaptation of regulatory frameworks and technological infrastructures in emerging economies. For policymakers, this study suggests guidelines to foster financial inclusion through fintech initiatives, while managers are encouraged to develop strategies that reduce operational gaps in digital financial services.
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(This article belongs to the Special Issue Fintech, Business, and Development)
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Sustainable Banking and Bank Stability in Nigeria: Empirical Evidence from Deposit Money Banks
by
Olusola Enitan Olowofela, Hermann Azemtsa Donfack and Celestin Wafo Soh
J. Risk Financial Manag. 2025, 18(4), 211; https://doi.org/10.3390/jrfm18040211 - 14 Apr 2025
Abstract
We investigated the impact of sustainable banking practices on bank stability in the Nigerian banking sector. We focused on data from 2012 to 2022, which were extracted from the balance sheets of deposit money banks in Nigeria. We employed the Dynamic Ordinary Least
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We investigated the impact of sustainable banking practices on bank stability in the Nigerian banking sector. We focused on data from 2012 to 2022, which were extracted from the balance sheets of deposit money banks in Nigeria. We employed the Dynamic Ordinary Least Squares (DOLS) estimator with E-Views to analyze the data. Our findings show that environmental emissions and waste reduction have minimal effects on bank assets, capital adequacy, and liquidity, though they do not directly cause financial instability. Investments in environmental innovation reduce asset growth and increase liquidity constraints but lower non-performing loans, emphasizing a trade-off between sustainability and stability. Environmental resource use efficiency remains neutral regarding asset stability and capital adequacy but poses liquidity challenges. Social welfare investments have little impact on asset growth and profitability, potentially reducing financial stability. Human resource development improves capital adequacy and liquidity strengthening bank stability, while community investments aid societal growth but create liquidity pressures. Macroeconomic factors like GDP growth and inflation are significant, yet economic growth does not always increase bank assets, whereas inflation increases non-performing loans. Sustainable banking in Nigeria is evolving; therefore, there is a need for robust regulation, financial incentives for compliance, a high level of awareness, and alignment between banking operations and sustainability principles.
Full article
(This article belongs to the Section Banking and Finance)
Open AccessArticle
Green Bond Yield Determinants in Indonesia: The Moderating Role of Bond Ratings
by
Mutia Wahyuningsih, Wiwik Utami, Augustina Kurniasih and Endri Endri
J. Risk Financial Manag. 2025, 18(4), 210; https://doi.org/10.3390/jrfm18040210 - 13 Apr 2025
Abstract
This study investigates the relationship between bond-specific factors, macroeconomic variables, and green bond (GB) yields issued in the Indonesian bond market. The study sample includes 468 GBs issued by 30 issuers from both corporate and government entities from 2018 to 2023. This research
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This study investigates the relationship between bond-specific factors, macroeconomic variables, and green bond (GB) yields issued in the Indonesian bond market. The study sample includes 468 GBs issued by 30 issuers from both corporate and government entities from 2018 to 2023. This research method uses panel regression techniques with the random effects models to test hypotheses on two estimation model specifications. The study results reveal that interest, inflation, and exchange rates are significantly and positively related to GB yields. Bond-specific factors have different impacts, where coupons and maturity have a positive relationship with GB yields, while bond issuers have an adverse effect. Bond rating and issuance size as specific factors are shown to have no impact on GB yields. In the model with the moderating role of rating, the study’s results show that coupons still directly impact GB yields positively, while the influence of maturity is negative. The interaction of maturity and rating positively impacts GB yield. Different findings suggest that interactions with coupons weaken the impact of ratings on GB yields. The results of this study contribute to the financial literature on the determinants of the GB market and the role of bond ratings as a moderator. The study also provides new insights into Indonesia’s GB market, which includes developing countries. The findings can also help companies, investors, regulators, and researchers better understand the GB market.
Full article
(This article belongs to the Special Issue Green Finance and Corporate Governance)
Open AccessArticle
An Empirical Evaluation of the Technology Acceptance Model for Peer-to-Peer Insurance Adoption: Does Income Really Matter?
by
Sylvester Senyo Horvey, Euphemia Godspower-Akpomiemie and Richard Asare Boateng
J. Risk Financial Manag. 2025, 18(4), 209; https://doi.org/10.3390/jrfm18040209 - 13 Apr 2025
Abstract
One essential component of insurance technology (Insurtech) is peer-to-peer (P2P) insurance, which represents a transformative shift from conventional insurance to digital platforms by fostering community-based risk sharing. This study contributes to the body of knowledge by engaging the Technology Acceptance Model (TAM2) to
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One essential component of insurance technology (Insurtech) is peer-to-peer (P2P) insurance, which represents a transformative shift from conventional insurance to digital platforms by fostering community-based risk sharing. This study contributes to the body of knowledge by engaging the Technology Acceptance Model (TAM2) to explore how perceived usefulness, perceived ease of use, subjective norms, and perceived trust influence the adoption of P2P insurance, and the moderating influence of income on these relationships. This study used a self-administered survey questionnaire to collect data from short-term insurance clients in South Africa. The survey was analysed using the confirmatory factor analysis and structural equation modelling (SEM) approach. The findings demonstrate that perceived usefulness, ease of use, and subjective norms present a significant positive influence on the adoption of P2P insurance, underscoring the relevance of value, ease of use, and social influence in predicting the adoption of insurance technologies, particularly P2P insurance. However, perceived risk and trust exhibit a positive but statistically insignificant relationship. Additionally, this study reveals that income exerts a significant positive moderating influence on perceived usefulness, ease of use, and subjective norms in affecting P2P adoption, implying that individuals with higher incomes are responsive to these factors when considering P2P insurance. This study highlights the need for policies that support the development of digital infrastructure, as its accessibility and ease of use, including social norms, are predicted as essential drivers of P2P insurance adoption. Also, policymakers should focus on creating a regulatory environment that encourages accountability and openness to P2P insurance.
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(This article belongs to the Special Issue InsurTech Development and Insurance Inclusion)
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Open AccessArticle
Cash Conversion Cycle and Profitability: Evidence from Greek Service Firms
by
Angelos-Stavros Stavropoulos and Stella Zounta
J. Risk Financial Manag. 2025, 18(4), 208; https://doi.org/10.3390/jrfm18040208 - 13 Apr 2025
Abstract
The present study examines the relationship between the cash conversion cycle (CCC) and profitability in major service sectors in Greece, including hotels, education, healthcare, transfer—rentals, and information technology. Using financial data from 343 public limited companies for the year 2023, the research applies
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The present study examines the relationship between the cash conversion cycle (CCC) and profitability in major service sectors in Greece, including hotels, education, healthcare, transfer—rentals, and information technology. Using financial data from 343 public limited companies for the year 2023, the research applies descriptive statistics, Pearson correlation analysis, and ANOVA to evaluate how CCC components affect profitability, measured through return on assets (ROA). The results indicate that firms across all sectors maintain a negative CCC, suggesting efficient liquidity management, with the education sector exhibiting the most negative CCC due to upfront tuition payments. Additionally, the study finds a significant positive correlation between CCC and ROA, implying that firms with longer negative CCC values tend to achieve higher profitability. However, firm size, measured by total assets and sales, does not appear to influence CCC efficiency or profitability. These findings underscore the importance of industry-specific financial strategies and highlight the role of CCC optimization in enhancing financial performance. The study contributes to the literature on working capital management and provides practical implications for improving liquidity and profitability in service-oriented firms.
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(This article belongs to the Special Issue AI and Sustainable Growth in Economics and Finance: Global Trends and Challenges)
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Open AccessArticle
Fiscal Sustainability and the Informal Economy: A Non-Linear Perspective
by
Dănuț Georgian Mihai, Bogdan Andrei Dumitrescu and Andreea-Mădălina Bozagiu
J. Risk Financial Manag. 2025, 18(4), 207; https://doi.org/10.3390/jrfm18040207 - 12 Apr 2025
Abstract
This study examines the issue of fiscal sustainability—measured through the response of the budgetary balance to public debt levels—for 36 OECD countries and candidate countries, and it shows that the relationship is non-linear and depends on the level of the informal economy as
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This study examines the issue of fiscal sustainability—measured through the response of the budgetary balance to public debt levels—for 36 OECD countries and candidate countries, and it shows that the relationship is non-linear and depends on the level of the informal economy as a threshold variable. Using the Panel Smooth Transition Regression model, the analysis uncovers regime-dependent fiscal behavior, indicating that the effect of public debt on the budget deficit varies significantly under different economic conditions. In regime 1—at a low level of the informal economy-, the impact of debt on the budgetary deficit is negative and significant, but in regime 2—when the informal economy exceeds the transition threshold-, this impact becomes positive and significant. These results indicate that, in an economic context with a larger informal economy, debt may have a different effect on the budgetary deficit, possibly due to factors such as reduced fiscal efficiency or loss of government revenue. Therefore, fiscal sustainability can be affected by the level of the informal economy.
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(This article belongs to the Special Issue Macroeconomic Dynamics and Economic Growth)
Open AccessArticle
The Moderating Role of Auditor Experience on Determinants of Computer-Assisted Auditing Tools and Techniques
by
Tasneem Alsarayrah and Basel J. A. Ali
J. Risk Financial Manag. 2025, 18(4), 206; https://doi.org/10.3390/jrfm18040206 - 11 Apr 2025
Abstract
This study indicates that internal auditors need to fully adopt CAATs to improve the efficiency of auditing tasks. This paper investigates the determinants influencing CAAT adoption among internal auditors in Jordanian firms. This study investigates the roles of performance expectancy, effort expectancy, social
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This study indicates that internal auditors need to fully adopt CAATs to improve the efficiency of auditing tasks. This paper investigates the determinants influencing CAAT adoption among internal auditors in Jordanian firms. This study investigates the roles of performance expectancy, effort expectancy, social influence, and facilitating conditions on the adoption of CAATs. Also, this study investigates the moderating variable of auditor experience. The data were collected using a survey that was sent to 420 internal auditors in auditing firms in Jordan. A total of 291 responses were collected, of which 279 proved to be valid for study. This study found that the adoption of CAATs is influenced by performance expectancy, facilitating conditions, social influence, and auditor experience. Conversely, effort expectancy has no influence. Furthermore, auditor experience moderates the relationship between performance expectancy and facilitating conditions for CAAT adoption. This study found that auditor experience does not moderate the relationship between effort expectancy or social influence and CAATs in auditing firms in Jordan.
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(This article belongs to the Special Issue The Future of Sustainable Finance: Digital and Circular Synergies)
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