Real(istic) Time-Varying Probability of Consumption Disasters

Abstract We model the time-varying probability of consumption disasters with international risk interactions and estimate the model using national accounts data of 42 countries back to 1833. The estimated world and country-specific disaster probabilities accord well with historical macroeconomic disasters. A match of the equity premium requires a relative risk aversion coefficient of approximately 5, which is significantly lower than previous estimates. Furthermore, the model provides notably better fits for equity volatility compared with alternative rare-disaster models. Finally, the disaster probability index estimated from the model demonstrates significant out-of-sample predictive power over long horizons, performing well not only over time but also across countries.

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Publication Details

Journal
Journal of Financial and Quantitative Analysis
Published
2025-11-24
DOI
https://doi.org/10.1017/s0022109025101853
Primary Topic
Agricultural risk and resilience
Type
article
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article

Real(istic) Time-Varying Probability of Consumption Disasters

Tao Jin, Xiaoyu Huang, Hao Zhou
Journal of Financial and Quantitative Analysis
Agricultural risk and resilience
article

Real(istic) Time-Varying Probability of Consumption Disasters

Tao Jin, Xiaoyu Huang, Hao Zhou
article en

Abstract

Abstract We model the time-varying probability of consumption disasters with international risk interactions and estimate the model using national accounts data of 42 countries back to 1833. The estimated world and country-specific disaster probabilities accord well with historical macroeconomic disasters. A match of the equity premium requires a relative risk aversion coefficient of approximately 5, which is significantly lower than previous estimates. Furthermore, the model provides notably better fits for equity volatility compared with alternative rare-disaster models. Finally, the disaster probability index estimated from the model demonstrates significant out-of-sample predictive power over long horizons, performing well not only over time but also across countries.

Journal of Financial and Quantitative AnalysisVol. 61(2)
Wuhan University of Technology (CN), Southern University of Science and Technology (CN), Capital University of Economics and Business (CN)
Openalex Percentile: Top 56%
Agricultural risk and resilience
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