Learning, Rare Disasters, and Asset Prices

Yang Lu and Michael Siemer

No 2013-85, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.)

Abstract: In this paper, we examine how learning about disaster risk affects asset pricing in an endowment economy. We extend the literature on rare disasters by allowing for two sources of uncertainty: (1) the lack of historical data results in unknown parameters for the disaster process, and (2) the disaster takes time to unfold and is not directly observable. The model generates time variation in the risk premium through Bayesian updating of agents' beliefs regarding the likelihood and severity of disaster realization. The model accounts for the level and volatility of U.S. equity returns and generates predictability in returns.

Keywords: Rare disasters; Bayesian learning; equity premium puzzle; time-varying risk premia; return predictability (search for similar items in EconPapers)
JEL-codes: D83 E21 G12 (search for similar items in EconPapers)
Pages: 33 pages
Date: 2013-11-01
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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