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Risks, Volume 13, Issue 5

May 2025 - 20 articles

Cover Story: Neural networks are currently transforming health insurance pricing. While machine learning is well established in property and casualty insurance, its application to health coverage remains largely underexplored. This study presents a novel approach using negative multinomial neural networks to model correlated medical claims and Gamma neural networks to predict claim severity. Tested on real-world data, the framework outperforms traditional accuracy and risk segmentation methods, enhanced by explainable AI (XAI) for transparency. View this paper
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Articles (20)

  • Article
  • Open Access
4 Citations
3,773 Views
26 Pages

Comparing the Effectiveness of Machine Learning and Deep Learning Models in Student Credit Scoring: A Case Study in Vietnam

  • Nguyen Thi Hong Thuy,
  • Nguyen Thi Vinh Ha,
  • Nguyen Nam Trung,
  • Vu Thi Thanh Binh,
  • Nguyen Thu Hang and
  • Vu The Binh

20 May 2025

In emerging markets like Vietnam, where student borrowers often lack traditional credit histories, accurately predicting loan eligibility remains a critical yet underexplored challenge. While machine learning and deep learning techniques have shown p...

  • Feature Paper
  • Article
  • Open Access
2 Citations
4,987 Views
24 Pages

Historical Perspectives in Volatility Forecasting Methods with Machine Learning

  • Zhiang Qiu,
  • Clemens Kownatzki,
  • Fabien Scalzo and
  • Eun Sang Cha

20 May 2025

Volatility forecasting for financial institutions plays a pivotal role across a wide range of domains, such as risk management, option pricing, and market making. For instance, banks can incorporate volatility forecasts into stress testing frameworks...

  • Article
  • Open Access
1 Citations
2,651 Views
22 Pages

Breaking Barriers: Gender Diversity, ESG, and Corporate Misconduct in the GCC Region

  • Laila Aladwey,
  • Mohamed Fawzy Mohamed Elsayed and
  • Ahmed Diab

15 May 2025

Our study explores how ESG performance affects corporate misconduct (CM) in Gulf Cooperation Council (GCC) firms and whether having more women on corporate boards influences this relationship. Using logistic regression and using data collected from G...

  • Article
  • Open Access
2 Citations
2,152 Views
25 Pages

14 May 2025

Women in emerging economies face unique constraints rooted in cultural norms, socio-economic disparities, and limited access to education and technology. Narrowing the digital gender gap by ensuring access to financial services may reduce the economi...

  • Article
  • Open Access
1 Citations
875 Views
22 Pages

Uncovering Systemic Risk in ASEAN Corporations: A Framework Based on Graph Theory and Hidden Models

  • Marc Cortés Rufé,
  • Jordi Martí Pidelaserra and
  • Cecilia Kindelán Amorrich

13 May 2025

In the context of an ever-evolving global economy, ASEAN companies face dynamic systemic risk that reshapes their financial interrelationships. This study examines the transmission of these risks using advanced graph theory techniques, particularly t...

  • Article
  • Open Access
1,203 Views
16 Pages

The Determinants of Reward-Based Crowdfunding Success in Africa

  • Lenny Phulong Mamaro,
  • Athenia Bongani Sibindi and
  • Ntwanano Jethro Godi

12 May 2025

This study focused on investigating the factors that drive reward-based crowdfunding in Africa, particularly considering the increasing limitations that entrepreneurs face in accessing traditional financial resources globally, by analysing 215 crowdf...

  • Feature Paper
  • Article
  • Open Access
1,287 Views
25 Pages

9 May 2025

This study employs asymmetric quantile regression to investigate the asymmetric impact of WTI crude oil prices and economic policy uncertainty (EPU) on stock market returns from May 2014 to December 2024 in oil-importing (China, India, Germany, Italy...

  • Article
  • Open Access
1 Citations
1,198 Views
29 Pages

9 May 2025

This study investigates how firms in emerging markets respond to climate policy risk, with a particular focus on the dynamic role of green innovation in shaping carbon information disclosure. Using a difference-in-differences (DID) framework, we exam...

  • Article
  • Open Access
2,764 Views
16 Pages

8 May 2025

The study documents the achievements of the Islamic Banking Services Industry (IBSI) in light of Islamic finance objectives (including commercial performance, financial stability, and wealth distribution). A balance sheet analysis of IBSI in the Unit...

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Risks - ISSN 2227-9091Creative Common CC BY license