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Journal of Financial Economics Vol. 143 No. 1 2022

Learning, slowly unfolding disasters, and asset prices

Mohammad Ghaderi1; Mete Kilic; Sang Byung Seo2

1 University of Kansas · 2 University of Wisconsin–Madison

Abstract

We develop a model that generates slowly unfolding disasters not only in the macroeconomy but also in financial markets. In our model, investors cannot exactly distinguish whether the economy is experiencing a mild/temporary downturn or is on the verge of a severe/prolonged disaster. Due to imperfect information, disaster periods are not fully identified by investors ex ante. Bayesian learning induces equity prices to gradually react to persistent consumption declines, which plays a critical role in explaining the VIX, variance risk premium, and put-protected portfolio returns. We show that our model can rationalize the market patterns of recent major crises, such as the dot-com bubble burst, Great Recession, and COVID-19 crisis, through investors' belief channel.

DOI
10.1016/j.jfineco.2021.05.030
Volume
143
Issue
1
Pages
527-549
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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