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Demarcating stable and turbulent regimes in Taiwan's stock market

Author

Listed:
  • Yu-Lieh Huang

    (National Tsing-Hua University)

  • Chia-Wen Ho

    (University of North Carolina at Charlotte)

Abstract

Various trading rules involving derivatives have been widely applied by practitioners under a wide range of market conditions to date, however, few econometric models can provide a way to accurately decide when to apply those strategies. In this paper, we employ the Innovation Regime-Switching (IRS) model (Kuan, et al, 2005, JBES) to separate stock price sample periods into stable and turbulent regimes on the basis of their dynamic behaviors. Our results show that, based on regime identification, we can obtain satisfactory profits by implementing appropriate and timely derivative strategies.

Suggested Citation

  • Yu-Lieh Huang & Chia-Wen Ho, 2008. "Demarcating stable and turbulent regimes in Taiwan's stock market," Economics Bulletin, AccessEcon, vol. 3(35), pages 1-11.
  • Handle: RePEc:ebl:ecbull:eb-07c10011
    as

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    References listed on IDEAS

    as
    1. Summers, Lawrence H, 1986. "Does the Stock Market Rationally Reflect Fundamental Values?," Journal of Finance, American Finance Association, vol. 41(3), pages 591-601, July.
    2. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
    3. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    4. Maheu, John M & McCurdy, Thomas H, 2000. "Identifying Bull and Bear Markets in Stock Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 100-112, January.
    5. Marine Carrasco & Liang Hu, 2004. "Optimal test for Markov switching," 2004 Meeting Papers 374, Society for Economic Dynamics.
    6. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    7. Garcia, Rene, 1998. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 763-788, August.
    8. Yu-Lieh Huang, 2007. "An alternative estimation algorithm for innovation regime-switching models," Applied Economics Letters, Taylor & Francis Journals, vol. 15(3), pages 225-229.
    9. repec:ebl:ecbull:v:3:y:2008:i:11:p:1-11 is not listed on IDEAS
    10. Kuan, Chung-Ming & Huang, Yu-Lieh & Tsay, Ruey S., 2005. "An Unobserved-Component Model With Switching Permanent and Transitory Innovations," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 443-454, October.
    11. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
    12. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    13. Chauvet, Marcelle & Potter, Simon, 2000. "Coincident and leading indicators of the stock market," Journal of Empirical Finance, Elsevier, vol. 7(1), pages 87-111, May.
    14. Adrian R. Pagan & Kirill A. Sossounov, 2003. "A simple framework for analysing bull and bear markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 23-46.
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    Keywords

    Bear market;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G1 - Financial Economics - - General Financial Markets

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