Modelling Regulatory Change V's Volume of Trade Effects in HSIF and HSI Volatility: A Note
In an earlier paper we adopted a Bi-variate BEKK-GARCH framework and employed a systematic approach to examine structural breaks in the Hang Seng Index and Index Futures market volatility. Switching dummy variables were included and tested in the variance equations to check for any structural changes in the autoregressive volatility structure due to the events that have taken place in the Hong Kong market surrounding the Asian markets crisis. In this paper we include measures of daily trading volume from both markets in the estimation. Likelihood ratio tests indicate the switching dummy variables become insignificant and the GARCH effects diminish but remain significant. There is some evidence that the Sequential arrival of Information Model provides a platform to explain these market induced effects when volume of trade is accounted for.
|Date of creation:||21 Apr 2007|
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- Gannon, G.L., 1994. "Simultaneous Volatility Effects in Index Futures," Papers 94-1, Melbourne - Centre in Finance.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
- Lamoureux, Christopher G & Lastrapes, William D, 1990. " Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-29, March.
- Bessembinder, Hendrik & Seguin, Paul J, 1992. " Futures-Trading Activity and Stock Price Volatility," Journal of Finance, American Finance Association, vol. 47(5), pages 2015-34, December.
- John Board & Gleb Sandmann & Charles Sutcliffe, 2001. "The Effect of Futures Market Volume on Spot Market Volatility," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 799-819.
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