Disaster aversion in the mean-disaster framework and its applications

Abstract Risk is often understood as the likelihood of a disastrous event despite the predominant notion of risk measured by the dispersion in the distribution of an outcome variable. In a mean-disaster framework, this paper proposes a measure of disaster aversion and studies the three often-encountered problems of decision making under risk: self-protection, portfolio choice, and insurance demand. Clear-cut intuitive comparative statics results are obtained for each of these decisions with respect to the effect of the strength of disaster aversion.

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Publication Details

Journal
The Geneva Risk and Insurance Review
Published
2026-01-26
DOI
https://doi.org/10.1057/s10713-025-00111-5
Primary Topic
Risk and Portfolio Optimization
Type
article
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article

Disaster aversion in the mean-disaster framework and its applications

L. Liu, Dennis W. Jansen
The Geneva Risk and Insurance Review
Risk and Portfolio Optimization
article

Disaster aversion in the mean-disaster framework and its applications

L. Liu, Dennis W. Jansen
article en

Abstract

Abstract Risk is often understood as the likelihood of a disastrous event despite the predominant notion of risk measured by the dispersion in the distribution of an outcome variable. In a mean-disaster framework, this paper proposes a measure of disaster aversion and studies the three often-encountered problems of decision making under risk: self-protection, portfolio choice, and insurance demand. Clear-cut intuitive comparative statics results are obtained for each of these decisions with respect to the effect of the strength of disaster aversion.

The Geneva Risk and Insurance ReviewVol. 51(1)
Texas A&M University (US)
Climate action
Openalex Percentile: Top 80%
Risk and Portfolio Optimization
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Disaster aversion in the mean-disaster framework and its applications — L. Liu, Dennis W. Jansen · The Geneva Risk and Insurance Review (2026) | TGRS Research Map | TGRS