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Transient Fads and the Crash of '87

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  • Kim, Chang-Jin
  • Kim, Myung-Jig

Abstract

Using a fad model with Markov-switching heteroscedasticity in both the fundamental and fad components (UC-MS model), this paper examines the possibility that the 1987 stock market crash was an example of a short-lived fad. While we usually think of fads as speculative bubbles, what the UC-MS model seems to be picking up is unwarranted pessimism which the market exhibited with the OPEC oil shock and the '87 crash. Furthermore, the conditional variance implied by the UC-MS model captures most of the dynamics in the GARCH specification of stock return volatility. Yet unlike the GARCH measure of volatility, the UC-MS measure of volatility is consistent with volatility reverting to its normal level very quickly after the crash. Copyright 1996 by John Wiley & Sons, Ltd.

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  • Kim, Chang-Jin & Kim, Myung-Jig, 1996. "Transient Fads and the Crash of '87," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 41-58, Jan.-Feb..
  • Handle: RePEc:jae:japmet:v:11:y:1996:i:1:p:41-58
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    Cited by:

    1. Choi, Kyongwook & Hammoudeh, Shawkat, 2010. "Volatility behavior of oil, industrial commodity and stock markets in a regime-switching environment," Energy Policy, Elsevier, vol. 38(8), pages 4388-4399, August.
    2. Engel, Charles & Kim, Chang-Jin, 1999. "The Long-Run U.S./U.K. Real Exchange Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 335-356, August.
    3. Beltratti, A. & Morana, C., 2006. "Breaks and persistency: macroeconomic causes of stock market volatility," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 151-177.
    4. Fiorentini, G. & Planas, C. & Rossi, A., 2012. "The marginal likelihood of dynamic mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2650-2662.
    5. Beg, A.B.M. Rabiul Alam & Anwar, Sajid, 2012. "Sources of volatility persistence: A case study of the U.K. pound/U.S. dollar exchange rate returns," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 165-184.
    6. Scharth, Marcel & Medeiros, Marcelo C., 2009. "Asymmetric effects and long memory in the volatility of Dow Jones stocks," International Journal of Forecasting, Elsevier, vol. 25(2), pages 304-327.
    7. Alistair Mees & Berndt Pilgram, 2000. "Non-Linear Markov Modelling Using Canonical Variate Analysis: Forecasting Exchange Rate Volatility," Econometric Society World Congress 2000 Contributed Papers 1162, Econometric Society.
    8. Bhar, Ramaprasad & Hamori, Shigeyuki, 2004. "Empirical characteristics of the permanent and transitory components of stock return: analysis in a Markov switching heteroscedasticity framework," Economics Letters, Elsevier, vol. 82(2), pages 157-165, February.
    9. Charles Nelson & Jeremy Piger & Eric Zivot, 1999. "Unit Root Tests in the Presence of Markov Regime-Switching," Discussion Papers in Economics at the University of Washington 0040, Department of Economics at the University of Washington.
    10. Cho, Jaeho & Yoo, Byoung Hark, 2011. "The Korean stock market volatility during the currency crisis and the credit crisis," Japan and the World Economy, Elsevier, vol. 23(4), pages 246-252.
    11. Adlai Fisher, 1999. "Multivariate Stock Returns Around Extreme Events: A Reassessment of Economic Fundamentals and the 1987 Market Crash," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-071, New York University, Leonard N. Stern School of Business-.
    12. Christian Jochum, 2001. "Is the covariance of international stock market returns regime dependent?," The European Journal of Finance, Taylor & Francis Journals, vol. 7(3), pages 247-268.
    13. Chen, Shyh-Wei & Shen, Chung-Hua, 2012. "Examining the stochastic behavior of REIT returns: Evidence from the regime switching approach," Economic Modelling, Elsevier, vol. 29(2), pages 291-298.

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