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Stock Price Booms and Expected Capital Gains

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  • Klaus Adam
  • Johannes Beutel
  • Albert Marcet

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Abstract

The booms and busts in U.S. stock prices over the post-war period can to a large extent be explained by fluctuations in investors' subjective capital gains expectations. Survey measures of these expectations display excessive optimism at market peaks and excessive pessimism at market throughs. Formally incorporating subjective price beliefs into an otherwise standard asset pricing model with utility maximizing investors, we show how subjective belief dynamics can temporarily delink stock prices from their fundamental value and give rise to asset price booms that ultimately result in a price bust. The model successfully replicates (1) the volatility of stock prices and (2) the positive correlation between the price dividend ratio and expected returns observed in survey data. We show that models imposing objective or 'rational' price expectations cannot simultaneously account for both facts. Our findings imply that large part of U.S. stock price fluctuations are not due to standard fundamental forces, instead result from self-reinforcing belief dynamics triggered by these fundamentals.

Suggested Citation

  • Klaus Adam & Johannes Beutel & Albert Marcet, 2014. "Stock Price Booms and Expected Capital Gains," UFAE and IAE Working Papers 948.14, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  • Handle: RePEc:aub:autbar:948.14
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    References listed on IDEAS

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    Cited by:

    1. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
    2. Glaeser, Edward L. & Nathanson, Charles G., 2015. "An Extrapolative Model of House Price Dynamics," Working Paper Series rwp15-012, Harvard University, John F. Kennedy School of Government.
    3. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    4. Colin Caines, 2016. "Can Learning Explain Boom-Bust Cycles In Asset Prices? An Application to the US Housing Boom," International Finance Discussion Papers 1181, Board of Governors of the Federal Reserve System (U.S.).
    5. repec:eee:jfinec:v:126:y:2017:i:1:p:147-170 is not listed on IDEAS
    6. Adam, Klaus & Beutel, Johannes & Marcet, Albert & Merkel, Sebastian, 2015. "Can a financial transaction tax prevent stock price booms?," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 90-109.
    7. Charles Nathanson & Edward Glaeser, 2015. "An Extrapolative Model of House Price Dynamics," 2015 Meeting Papers 1108, Society for Economic Dynamics.
    8. Kuang, Pei & Mitra, Kaushik, 2016. "Long-run growth uncertainty," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 67-80.
    9. Emir Zildžović, 2015. "The Sustainability Of Serbia`S External Position: The Impact Of Fiscal Adjustment And External Shocks," Economic Annals, Faculty of Economics, University of Belgrade, vol. 60(204), pages 31-60, January –.
    10. Baghestanian, Sascha & Massenot, Baptiste, 2016. "Credit cycles: Experimental evidence," SAFE Working Paper Series 104 [rev.], Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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