Challenging the rare disaster model: An empirical analysis using the survey of professional forecasters

This study assesses the extent to which rare-disaster models explain the equity premium when calibrated with downside tail probabilities from the Survey of Professional Forecasters (SPF). Each quarter, this probability is incorporated into canonical Barro-type models as the representative agent’s subjective belief about disaster risk, allowing these beliefs to vary over time. While this calibration generates elevated equity premia during crisis episodes, it fails to account for the magnitude of the observed equity premium in normal periods, implying an average equity premium of approximately 3.3%, roughly half the historical U.S. average. These findings suggest that standard rare-disaster models omit important mechanisms or risk channels relevant for asset pricing, casting doubt on the sufficiency of disaster risk as a standalone explanation for the equity premium puzzle. • Constructs a time-varying SPF-based measure of downside tail risk in GDP growth. • Maps SPF tail probabilities into rare-disaster models as subjective disaster risk. • Provides a conservative upper-bound test of rare-disaster asset pricing models. • Shows models fail to account for the equity premium under SPF-based calibration. • Finds similar results across Barro (2006), Gourio (2008), and Gabaix (2012).

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Publication Details

Journal
Finance research letters
Published
2026-04-25
DOI
https://doi.org/10.1016/j.frl.2026.110049
Primary Topic
Disaster Management and Resilience
Type
article
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article

Challenging the rare disaster model: An empirical analysis using the survey of professional forecasters

Fatemeh Naebi
Finance research letters
Disaster Management and Resilience
article

Challenging the rare disaster model: An empirical analysis using the survey of professional forecasters

Fatemeh Naebi
article en

Abstract

This study assesses the extent to which rare-disaster models explain the equity premium when calibrated with downside tail probabilities from the Survey of Professional Forecasters (SPF). Each quarter, this probability is incorporated into canonical Barro-type models as the representative agent’s subjective belief about disaster risk, allowing these beliefs to vary over time. While this calibration generates elevated equity premia during crisis episodes, it fails to account for the magnitude of the observed equity premium in normal periods, implying an average equity premium of approximately 3.3%, roughly half the historical U.S. average. These findings suggest that standard rare-disaster models omit important mechanisms or risk channels relevant for asset pricing, casting doubt on the sufficiency of disaster risk as a standalone explanation for the equity premium puzzle. • Constructs a time-varying SPF-based measure of downside tail risk in GDP growth. • Maps SPF tail probabilities into rare-disaster models as subjective disaster risk. • Provides a conservative upper-bound test of rare-disaster asset pricing models. • Shows models fail to account for the equity premium under SPF-based calibration. • Finds similar results across Barro (2006), Gourio (2008), and Gabaix (2012).

Finance research lettersVol. 101
Norwegian School of Economics (NO)
Climate action
Openalex Percentile: Top 4%
Disaster Management and Resilience
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Challenging the rare disaster model: An empirical analysis using the survey of professional forecasters — Fatemeh Naebi · Finance research letters (2026) | TGRS Research Map | TGRS