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Disaster Risk and its Implications for Asset Pricing

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  • Jerry Tsai
  • Jessica A. Wachter

Abstract

After laying dormant for more than two decades, the rare disaster framework has emerged as a leading contender to explain facts about the aggregate market, interest rates, and financial derivatives. In this paper we survey recent models of disaster risk that provide explanations for the equity premium puzzle, the volatility puzzle, return predictability and other features of the aggregate stock market. We show how these models can also explain violations of the expectations hypothesis in bond pricing, and the implied volatility skew in option pricing. We review both modeling techniques and results and consider both endowment and production economies. We show that these models provide a parsimonious and unifying framework for understanding puzzles in asset pricing.

Suggested Citation

  • Jerry Tsai & Jessica A. Wachter, 2015. "Disaster Risk and its Implications for Asset Pricing," NBER Working Papers 20926, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20926
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    Citations

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    Cited by:

    1. Jessica Wachter & Mete Kilic, 2017. "Risk, Unemployment, and the Stock Market: A Rare-Event-Based Explanation of Labor Market Volatility," 2017 Meeting Papers 129, Society for Economic Dynamics.
    2. Jessica A. Wachter & Yicheng Zhu, 2018. "The Macroeconomic Announcement Premium," NBER Working Papers 24432, National Bureau of Economic Research, Inc.
    3. Jesús Fernández-Villaverde & Oren Levintal, 2016. "Solution Methods for Models with Rare Disasters," NBER Working Papers 21997, National Bureau of Economic Research, Inc.
    4. Roberto Marfè & Julien Penasse, 2016. "The Time-Varying Risk of Macroeconomic Disasters," Carlo Alberto Notebooks 463, Collegio Carlo Alberto.
    5. William N. Goetzmann & Dasol Kim & Robert J. Shiller, 2016. "Crash Beliefs From Investor Surveys," NBER Working Papers 22143, National Bureau of Economic Research, Inc.
    6. Isoré, Marlène & Szczerbowicz, Urszula, 2017. "Disaster risk and preference shifts in a New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 97-125.
    7. Hasler, Michael & Marfè, Roberto, 2016. "Disaster recovery and the term structure of dividend strips," Journal of Financial Economics, Elsevier, vol. 122(1), pages 116-134.
    8. Andrew Y. Chen & Rebecca Wasyk & Fabian Winkler, 2017. "A Likelihood-Based Comparison of Macro Asset Pricing Models," Finance and Economics Discussion Series 2017-024, Board of Governors of the Federal Reserve System (U.S.).
    9. Sang Byung Seo & Jessica A. Wachter, 2016. "Do Rare Events Explain CDX Tranche Spreads?," NBER Working Papers 22723, National Bureau of Economic Research, Inc.
    10. Favero, Carlo A. & Ortu, Fulvio & Tamoni, Andrea & Yang, Haoxi, 2016. "Implications of Return Predictability across Horizons for Asset Pricing Models," CEPR Discussion Papers 11645, C.E.P.R. Discussion Papers.
    11. Mete Kilic & Jessica A. Wachter, 2015. "Risk, Unemployment, and the Stock Market: A Rare-Event-Based Explanation of Labor Market Volatility," NBER Working Papers 21575, National Bureau of Economic Research, Inc.

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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