Options on Interbank Rates and Implied Disaster Risk

Abstract The identification of disaster risk has remained a significant challenge due to the rarity of macroeconomic disasters. We show that the interbank market can help characterize the time variation in disaster risk. We propose a risk-based model in which macroeconomic disasters are likely to coincide with interbank market failure. Using interbank rates and their options, we estimate our model via maximum likelihood estimation (MLE) and filter the short-run and long-run components of disaster risk. Our estimation results are independent of the stock market and serve as an external validity test of rare disaster models, which are typically calibrated to match stock moments.

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Publication Details

Journal
Journal of Financial and Quantitative Analysis
Published
2025-08-08
DOI
https://doi.org/10.1017/s0022109025101889
Citations
2
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
6.26
Controls
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article

Options on Interbank Rates and Implied Disaster Risk

Hyung Joo Kim, Hitesh Doshi, Sang Byung Seo
2 citations
Journal of Financial and Quantitative Analysis
Insurance and Financial Risk Management
6.26
article

Options on Interbank Rates and Implied Disaster Risk

Hyung Joo Kim, Hitesh Doshi, Sang Byung Seo
article en
2 citations

Abstract

Abstract The identification of disaster risk has remained a significant challenge due to the rarity of macroeconomic disasters. We show that the interbank market can help characterize the time variation in disaster risk. We propose a risk-based model in which macroeconomic disasters are likely to coincide with interbank market failure. Using interbank rates and their options, we estimate our model via maximum likelihood estimation (MLE) and filter the short-run and long-run components of disaster risk. Our estimation results are independent of the stock market and serve as an external validity test of rare disaster models, which are typically calibrated to match stock moments.

Journal of Financial and Quantitative Analysis
University of Wisconsin–Madison (US), Federal Reserve Board of Governors (US), University of Houston (US)
Climate action
Openalex Percentile: Top 4%
Insurance and Financial Risk Management
6.26
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