Modelling the asymmetry of stock market volatility
AbstractRecent 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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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Financial Economics.
Volume (Year): 8 (1998)
Issue (Month): 2 ()
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Other versions of this item:
- Henry, O.T.J., 1995. "Modelling the Assymetry of Stock Market Volatility," Department of Economics - Working Papers Series 487, The University of Melbourne.
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