Next Article in Journal
Does ERP Implementation Lower Corporate Financing Costs? A Dual Perspective from Risk Management and Value Creation
Previous Article in Journal
On the Multi-Periodic Threshold Strategy for the Spectrally Negative Lévy Risk Model
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Enhancing Insurer Portfolio Resilience and Capital Efficiency with Green Bonds: A Framework Combining Dynamic R-Vine Copulas and Tail-Risk Modeling

by
Thitivadee Chaiyawat
1 and
Pannarat Guayjarernpanishk
2,*
1
Chulalongkorn Business School, Chulalongkorn University, Bangkok 10330, Thailand
2
Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
*
Author to whom correspondence should be addressed.
Risks 2025, 13(9), 163; https://doi.org/10.3390/risks13090163
Submission received: 27 July 2025 / Revised: 14 August 2025 / Accepted: 25 August 2025 / Published: 27 August 2025

Abstract

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 effectively captures volatility, tail risks, and evolving asset interdependencies. Utilizing daily data from 2014 to 2024, the models generate value-at-risk forecasts consistent with international standards such as Basel III’s 10-day 99% VaR and rolling Sharpe ratios for portfolios integrating green bonds compared to traditional asset allocations. The results demonstrate that green bonds, fixedincome instruments funding renewable energy and other environmental projects, significantly improve risk-adjusted returns and have the potential to reduce capital requirements, particularly for life insurers with long-term sustainability mandates. These findings underscore the importance of portfolio-level capital assessment and support the proactive integration of ESG considerations into supervisory investment guidelines to enhance financial resilience and align the insurance sector with Thailand’s sustainable finance agenda.
Keywords: green bonds; dynamic R-vine copulas; extreme value theory; insurance capital adequacy; value-at-risk green bonds; dynamic R-vine copulas; extreme value theory; insurance capital adequacy; value-at-risk

Share and Cite

MDPI and ACS Style

Chaiyawat, T.; Guayjarernpanishk, P. Enhancing Insurer Portfolio Resilience and Capital Efficiency with Green Bonds: A Framework Combining Dynamic R-Vine Copulas and Tail-Risk Modeling. Risks 2025, 13, 163. https://doi.org/10.3390/risks13090163

AMA Style

Chaiyawat T, Guayjarernpanishk P. Enhancing Insurer Portfolio Resilience and Capital Efficiency with Green Bonds: A Framework Combining Dynamic R-Vine Copulas and Tail-Risk Modeling. Risks. 2025; 13(9):163. https://doi.org/10.3390/risks13090163

Chicago/Turabian Style

Chaiyawat, Thitivadee, and Pannarat Guayjarernpanishk. 2025. "Enhancing Insurer Portfolio Resilience and Capital Efficiency with Green Bonds: A Framework Combining Dynamic R-Vine Copulas and Tail-Risk Modeling" Risks 13, no. 9: 163. https://doi.org/10.3390/risks13090163

APA Style

Chaiyawat, T., & Guayjarernpanishk, P. (2025). Enhancing Insurer Portfolio Resilience and Capital Efficiency with Green Bonds: A Framework Combining Dynamic R-Vine Copulas and Tail-Risk Modeling. Risks, 13(9), 163. https://doi.org/10.3390/risks13090163

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop