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Risks, Volume 13, Issue 9

September 2025 - 23 articles

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Cover Story: This paper investigates the dependence structure between returns and trading volumes for five major cryptocurrencies: Bitcoin, Cardano, Ethereum, Litecoin, and Ripple. Using a copula-based framework, we focus on a mixture of the Joe copula and its 90-degree rotation to capture asymmetric relationships, especially in the tails of the distribution. Our findings reveal significant upper and lower–upper tail dependencies, suggesting that extreme trading volumes are associated with both positive and negative return extremes. The results confirm a nonlinear and asymmetric volume–return relationship, which traditional linear models fail to capture. View this paper

Articles (23)

  • Article
  • Open Access
701 Views
18 Pages

11 September 2025

This study develops a machine learning framework to improve the prediction of automobile loan defaults by integrating explainable feature selection with advanced resampling techniques. Using publicly available data, we compare Logistic Regression, Ra...

  • Article
  • Open Access
683 Views
29 Pages

10 September 2025

Purpose: This article evaluated the decline of registered auditors (RAs) and its impact on the future of the assurance industry in South Africa. Auditors play a critical role in ensuring the transparency, trust, and credibility of financial statement...

  • Article
  • Open Access
759 Views
19 Pages

Digital Financial Literacy and Anxiety About Life After 65: Evidence from a Large-Scale Survey Analysis of Japanese Investors

  • Jargalmaa Amarsanaa,
  • Trinh Xuan Thi Nguyen,
  • Yu Kuramoto,
  • Mostafa Saidur Rahim Khan and
  • Yoshihiko Kadoya

8 September 2025

In the context of Japan’s rapidly aging population, people’s anxiety about life after 65, especially regarding financial sustainability, has become a growing concern. This study examines old age anxiety through the lens of digital financi...

  • Article
  • Open Access
771 Views
13 Pages

2 September 2025

This paper investigates the dependence structure between returns and trading volumes for five major cryptocurrencies: Bitcoin, Cardano, Ethereum, Litecoin, and Ripple. Using a copula-based framework, we focus on a mixture of the Joe copula and its 90...

  • Article
  • Open Access
511 Views
18 Pages

Financial Institutions of Emerging Economies: Contribution to Risk Assessment

  • Yelena Popova,
  • Olegs Cernisevs,
  • Sergejs Popovs and
  • Almas Kalimoldayev

1 September 2025

Conventional risk assessment frameworks usually define risk as a function of vulnerabilities and threats, but they frequently lack a single quantitative model that incorporates the unique features of each element. In order to close this gap, this pap...

  • Feature Paper
  • Article
  • Open Access
631 Views
19 Pages

29 August 2025

This study examines the use of Filtered Historical Simulation (FHS) to estimate tail risk in cryptocurrency markets for the optimization of robustness in this area under model misspecification. An ARMA-GARCH model is employed on the daily returns on...

  • Article
  • Open Access
474 Views
20 Pages

Contagion or Decoupling? Evidence from Emerging Stock Markets

  • Lumengo Bonga-Bonga and
  • Zinzile Lorna Ndiweni

29 August 2025

This paper uses a statistical test based on entropy theory to propose a new way to distinguish between interdependence, contagion, and the decoupling hypotheses in the context of shock transmission and spillover. Applying the proposed approach, the t...

  • Article
  • Open Access
905 Views
34 Pages

27 August 2025

This study examines the impacts of Enterprise Resource Planning (ERP) systems on financing costs from the dual perspectives of risk management and relative value creation based on corporate value maximization objectives. Data were manually collected...

  • Article
  • Open Access
656 Views
34 Pages

27 August 2025

This study develops an integrated risk modeling framework to assess capital adequacy and optimize portfolio performance for Thai life and non-life insurers. Leveraging ARMA–GJR–GARCH models with skewed Student-t innovations, extreme value...

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