Since the deregulation of electricity markets in the 1990s, U.S. power grids have witnessed the creation of an increasingly diverse suite of financial instruments designed to mitigate risks caused by underlying generation and consumption patterns. However, the nature of risks is shifting rapidly...

Physical climate risks significantly influence banks' collateral practices. Drawing on comprehensive loan-level data from Sweden, we find that adverse weather events increase both the likelihood and the amount of collateral required for new loans. For existing loans, banks are less inclined to...

Background: The service life and availability of electronic components are steadily declining, whereas the operational lifespan of industrial devices that incorporate such components often extends over several decades. This disparity creates a mismatch between the durability of individual...

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 theory, and dynamic R-vine copulas, the framework...

This paper proposes a new framework for measuring systemic financial risk, which combines the Diebold and Yilmaz spillover index model, complex network, and dimensionality reduction method. This framework simulates the process of risk contagion through network dynamics, accounting for the...

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 from the listed companies in China. It is...

This study examines the impact of financial inclusion on bank stability across 36 emerging economies, utilizing bank-level data from over 1,500 commercial banks spanning the period 2004 to 2023. Despite the recognized benefits of financial inclusion, its influence on banking stability remains...

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 Binance Coin and Litecoin in order to compare...

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 paper creates a flexible, open, and theoretically...

In the dual risk model, while the ultimate ruin probability has an exact and straightforward formula, the mathematics becomes significantly more complex when considering a finite time horizon, and the literature on this topic is scarce. As a result, there is a need for numerical approximations....

This study investigates the nonlinear and regime-dependent relationship between climate policy uncertainty (CPU) and sovereign credit default swap (CDS) spreads across a panel of developed and emerging economies from February 2010 to March 2025. Utilizing the Quantile-on-Quantile Regression...

The purpose of this article is to suggest a primer for culture risk, aimed at outlining actionable and practical approaches distinguishing between 'risk culture' and 'culture risk'. The topic, originally addressed by the Financial Stability Board (FSB, 2014), has recently garnered renewed...

This study compares the resilience of optimal portfolios constructed using participation stocks (i.e., sharia-compliant stocks) to that of conventional stocks on Borsa Istanbul between 2011 and 2024 for three periods when a stock market crisis occurred. The three crises are related to Gezi Park,...

This study investigates the safe-haven properties of different asset classes during periods of geopolitical risk in Türkiye and examines their comovement with the Geopolitical Risk Index. The research covers the period from January 2010 to January 2023 and employs wavelet coherence analysis and...

This study examines how audit-related governance mechanisms influence corporate fraud risk, utilising data from 1025 non-financial EU firms between 2018 and 2023. The dependent variable, fraud risk, is proxied by the Beneish M-Score. The independent variables examined comprise six key audit...

This study introduces a novel, systems-based framework for assessing ESG governance innovation within controversial financial institutions. The research utilizes the Decision-Making Trial and Evaluation Laboratory (DEMATEL) to identify causal relationships and the Analytic Network Process (ANP)...