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Market fundamentals versus rational bubbles in stock prices: a Bayesian perspective

Author

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  • Nathan S. Balke
  • Mark E. Wohar

    (Department of Economics, University of Nebraska at Omaha, Omaha, Nebraska, USA)

Abstract

Using Bayesian Markov chain Monte Carlo methods, we decompose the log price-dividend ratio into a market fundamentals component and a bubble component. The market fundamentals component depends on expectations of future dividend growth and required returns, while the bubble component is assumed to follow a Markov switching model that allows for the possibility of exploding and collapsing regimes. If prior beliefs allow for the possibility of persistent shocks to dividend growth and|or required returns, the posterior distribution suggests the bubble component contributes virtually nothing to the stock price movements over our sample. On the other hand, if one's priors rule out the possibility of persistent shocks to dividend growth and required returns, the bubble component can have a much larger role to play in stock price movements. However, the regime switching behavior of the bubble bears little resemblance to infrequent switching from an exploding bubble regime to a collapsing or dormant bubble regime. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Nathan S. Balke & Mark E. Wohar, 2009. "Market fundamentals versus rational bubbles in stock prices: a Bayesian perspective," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 35-75.
  • Handle: RePEc:jae:japmet:v:24:y:2009:i:1:p:35-75
    DOI: 10.1002/jae.1025
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    File URL: http://qed.econ.queensu.ca:80/jae/2009-v24.1/
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    References listed on IDEAS

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    2. Adelina Gschwandtner & Michael Hauser, 2016. "Profit persistence and stock returns," Applied Economics, Taylor & Francis Journals, vol. 48(37), pages 3538-3549, August.
    3. Kim, Jan R. & Lim, Gieyoung, 2016. "Fundamentals and rational bubbles in the Korean housing market: A modified present-value approach," Economic Modelling, Elsevier, vol. 59(C), pages 174-181.
    4. Huang, MeiChi & Chiang, Hsiu-Hsuan, 2017. "An early alarm system for housing bubbles," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 34-49.
    5. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    6. Jan R. Kim & Gieyoung Lim, 2018. "A look into German housing markets: A bubble call?," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 21(4), pages 289-301, December.
    7. Velinov, Anton & Chen, Wenjuan, 2015. "Do stock prices reflect their fundamentals? New evidence in the aftermath of the financial crisis," Journal of Economics and Business, Elsevier, vol. 80(C), pages 1-20.

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