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A Framework for Integrating Extreme Weather Risk, Probability of Default, and Loss Given Default for Residential Mortgage Loans

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  • Michael C. S. Wong

    (Department of Economics and Finance, City University of Hong Kong, Kowloon Tong, Hong Kong, China)

  • Ho Ming Ho

    (College of Business, City University of Hong Kong, Kowloon Tong, Hong Kong, China)

Abstract

This paper considers a hypothetical case in which a bank wants to build a routine climate stress test exercise on residential mortgage loans. The bank has regularly updated the probability of default (PD) and loss given default (LGD) on each residential mortgage loan under the internal-rating-based (IRB) approach of Basel II/III. Additionally, the bank estimates the stressed PD and stressed LGD associated with a predetermined extreme weather event. Using simulation techniques, this paper shows that the loss of the bank’s residential mortgage portfolio can reach a median of around 36% of the portfolio value. This remarkable loss comes from the effects of default correlation and property damage. Banks should pay more attention to such impacts of extreme weather events.

Suggested Citation

  • Michael C. S. Wong & Ho Ming Ho, 2023. "A Framework for Integrating Extreme Weather Risk, Probability of Default, and Loss Given Default for Residential Mortgage Loans," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11808-:d:1207974
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    References listed on IDEAS

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