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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.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/096031098333122
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 8 (1998)
Issue (Month): 2 ()
Pages: 145-153

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Handle: RePEc:taf:apfiec:v:8:y:1998:i:2:p:145-153

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Cited by:
  1. 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.
  2. 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.
  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 165-93, July.
  4. Hyytinen, Ari, 1999. "Stock Return Volatility on Scandinavian Stock Markets and the Banking Industry," Research Discussion Papers 19/1999, Bank of Finland.
  5. 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.
  6. Olan T. Henry & Michael McKenzie, 2003. "The Impact of Short Selling on the Price–Volume Relationship: Evidence from Hong Kong," Department of Economics - Working Papers Series 869, The University of Melbourne.
  7. 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.
  8. 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.
  9. 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.
  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.

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