Measuring Insurer Vulnerability to Catastrophe Risk

37 Pages Posted: 25 Nov 2025

See all articles by Vaibhav Anand

Vaibhav Anand

St. John's University - Peter J. Tobin College of Business; Wisconsin School of Business

Yu-luen Ma

University of North Texas - Department of Finance, Insurance Real Estate and Law

Yayuan Ren

Illinois State University

Date Written: November 21, 2025

Abstract

We develop an empirical measure of U.S. property-liability insurers' vulnerability to catastrophe risk. Using underwriting outcomes and property damage data from 1991-2021, we first estimate state-line sensitivities that quantify how unexpected disaster damages translate into insured losses. Sensitivity varies widely across lines and states: homeowners and allied lines, and the Gulf and Southeastern states, show the strongest transmission. Loss ratios rise sharply in high-damage years, but decline only modestly in low-damage years. Combining sensitivities with insurers' portfolio compositions, we construct an insurer-level vulnerability metric and find that vulnerability is highly skewed. Insurers in the top quintile are roughly four times more exposed than the next group, and their vulnerability has grown by 50 percent over time. While most insurers manage catastrophe exposure through diversification, highly vulnerable insurers, typically smaller and concentrated, rely heavily on reinsurance. Our metric also reconciles prior evidence on diversification and reinsurance: while concentration lowers reinsurance demand on average, for vulnerable insurers, reinsurance usage increases with geographic concentration.

Keywords: Catastrophe Risk, Property-Liability Insurance, Reinsurance, Diversification

Suggested Citation

Anand, Vaibhav and Ma, Yu-luen and Ren, Yayuan, Measuring Insurer Vulnerability to Catastrophe Risk (November 21, 2025). Available at SSRN: https://ssrn.com/abstract=5784662 or http://dx.doi.org/10.2139/ssrn.5784662

Vaibhav Anand (Contact Author)

St. John's University - Peter J. Tobin College of Business ( email )

New York, NY
United States

Wisconsin School of Business ( email )

HOME PAGE: http://www.vaibhavanand.com

Yu-Luen Ma

University of North Texas - Department of Finance, Insurance Real Estate and Law ( email )

Denton, TX 76203
United States

Yayuan Ren

Illinois State University ( email )

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