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Do Japanese stock prices reflect macro fundamentals?

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  • Chen, Wenjuan
  • Velinov, Anton

Abstract

This paper investigates to what extent the fundamentals of the real economy are reflected in the stock prices of Japan. A Markov switching VAR model with switching variances is used to test the structural identification scheme. Identification of fundamental and nonfundamental shocks is shown to be supported by the data. Based on the appropriate structural restriction, the historical stock prices are decomposed into fundamental components and nonfundamental components. The decomposition shows that the linkage between Japanese stock prices and real activity shocks became strengthened since the bubble collapsed in the beginning of 1990s.

Suggested Citation

  • Chen, Wenjuan & Velinov, Anton, 2012. "Do Japanese stock prices reflect macro fundamentals?," SFB 649 Discussion Papers 2012-037, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2012-037
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    References listed on IDEAS

    as
    1. Rapach, David E., 2001. "Macro shocks and real stock prices," Journal of Economics and Business, Elsevier, vol. 53(1), pages 5-26.
    2. Shiller, Robert J & Kon-Ya, Fumiko & Tsutsui, Yoshiro, 1996. "Why Did the Nikkei Crash? Expanding the Scope of Expectations Data Collection," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 156-164, February.
    3. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    4. Vidhan K. Goyal & Takeshi Yamada, 2004. "Asset Price Shocks, Financial Constraints, and Investment: Evidence from Japan," The Journal of Business, University of Chicago Press, vol. 77(1), pages 175-200, January.
    5. Ying Huang & Feng Guo, 2008. "Macro shocks and the Japanese stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 18(17), pages 1391-1400.
    6. Nicolaas Groenewold, 2004. "Fundamental share prices and aggregate real output," Applied Financial Economics, Taylor & Francis Journals, vol. 14(9), pages 651-661.
    7. Lanne, Markku & Lütkepohl, Helmut & Maciejowska, Katarzyna, 2010. "Structural vector autoregressions with Markov switching," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 121-131, February.
    8. Binswanger, Mathias, 2004. "How important are fundamentals?--Evidence from a structural VAR model for the stock markets in the US, Japan and Europe," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(2), pages 185-201, April.
    9. Burbidge, John & Harrison, Alan, 1985. "An historical decomposition of the great depression to determine the role of money," Journal of Monetary Economics, Elsevier, vol. 16(1), pages 45-54, July.
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    More about this item

    Keywords

    Stock price; real activity; financial crisis; structural restrictions;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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