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Modelling the asymmetry of stock market volatility

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  • Olan Henry

Abstract

Recent studies suggest that a negative shock to stock prices will generate more volatility than a positive shock of equal magnitude. This paper uses daily data from the Hong Kong Stock Exchange to illustrate the nature of stock market volatility. Regression-based tests for integration in variance are applied, providing contrasting results to the usual test based on the Wald statistic. A partially non-parametric model of the relationship between news and volatility is estimated and used in conjunction with tests for the sensitivity to both the size and sign of a shock as a metric to judge various candidate characterizations of the underlying data generating process.

Suggested Citation

  • Olan Henry, 1998. "Modelling the asymmetry of stock market volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 8(2), pages 145-153.
  • Handle: RePEc:taf:apfiec:v:8:y:1998:i:2:p:145-153
    DOI: 10.1080/096031098333122
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    References listed on IDEAS

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    1. Psaradakis, Z. & Tzavalis, E., 1995. "Regression-Based Tests for Persistence in Conditional Variances," Discussion Papers 9501, Exeter University, Department of Economics.
    2. repec:exe:wpaper:95/01 is not listed on IDEAS
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    Cited by:

    1. Grier, K.B. & Henry, O.T. & Olekalns, N., 2001. "The Effects of Uncertainty on Macroeconomic Performance: The Importance of the Conditional Covariance Model," Department of Economics - Working Papers Series 818, The University of Melbourne.
    2. Brooks, Chris & Henry, Olan T, 2002. " The Impact of News on Measures of Undiversifiable Risk: Evidence from the UK Stock Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 487-507, December.
    3. Fratzscher, Marcel, 2002. "Financial Market Integration in Europe: On the Effects of EMU on Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 165-193, July.
    4. DAVID G. McMILLAN & ALAN E. H. SPEIGHT, 2007. "Value-at-Risk in Emerging Equity Markets: Comparative Evidence for Symmetric, Asymmetric, and Long-Memory GARCH Models," International Review of Finance, International Review of Finance Ltd., vol. 7(1-2), pages 1-19.
    5. Brooks, Chris & Henry, Olan T., 2000. "Can portmanteau nonlinearity tests serve as general mis-specification tests?: Evidence from symmetric and asymmetric GARCH models," Economics Letters, Elsevier, vol. 67(3), pages 245-251, June.
    6. Athanassiou, Emmanuel & Kollias, Christos & Syriopoulos, Theodore, 2006. "Dynamic volatility and external security related shocks: The case of the Athens Stock Exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(5), pages 411-424, December.
    7. Abounoori, Esmaiel & Elmi, Zahra (Mila) & Nademi, Younes, 2016. "Forecasting Tehran stock exchange volatility; Markov switching GARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 264-282.
    8. Ólan T. Henry & Michael McKenzie, 2006. "The Impact of Short Selling on the Price-Volume Relationship: Evidence from Hong Kong," The Journal of Business, University of Chicago Press, vol. 79(2), pages 671-692, March.
    9. O.T. Henry & S. Suardi, 2005. "Testing For Asymmetry In Interest Rate Volatility In The Presence Of A Neglected Level Effect," Department of Economics - Working Papers Series 945, The University of Melbourne.
    10. Leeves, Gareth, 2007. "Asymmetric volatility of stock returns during the Asian crisis: Evidence from Indonesia," International Review of Economics & Finance, Elsevier, vol. 16(2), pages 272-286.
    11. Paul D. McNelis & Carrie K.C. Chan, 2004. "Deflationary Dynamics in Hong Kong: Evidence from Linear and Neural Network Regime Switching Models," Working Papers 212004, Hong Kong Institute for Monetary Research.

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