Review of Pacific Basin Financial Markets and Policies · 2004 · 13 citations · 13 references
BusinessEconomicsFinanceEconometricsFinancial EconometricsFinancial EconomicsAsset Pricing EmpiricsAsset Return ModelingCapital MarketsMarket RiskVolatility AnalysisVolatility ModelingArch ModelsAsymmetric ShocksAsymmetric Volatility ModelsGeneralized Autoregressive Conditional Heteroskedasticity ModelsLeverage ShocksTime Series Volatility ModelingTime-varying Volatility ModelsVolatility Modelling
This paper uses ARCH models to examine if there is a leverage effect and also to test if A- and B-share holdings have different risks in Chinese stock markets before and after B-share markets open to domestic investors in February 2001. The empirical results suggest that leverage effect was not present and shocks have symmetric impact on the volatility of Chinese B-share stock returns in both periods and A-share returns in Period I. Thus GARCH model would be a better model to fit the Chinese B-share stock returns than EGARCH or GJR-GARCH model. But EGARCH or GJR-GARCH model fits recent (Period II) A-share markets data better than GARCH model. Another finding of this paper is that holding A- or B-share bears different risk in returns in the two Chinese markets. Furthermore, news or shocks have a larger impact on volatility of B-share returns in Period I than in Period II.
13
Conditional Heteroskedasticity in Asset Returns: A New Approach
Daniel B. Nelson · Econometrica · 1991 · 10.4K citations
Expected stock returns and volatility
Kenneth R. French, G. William Schwert, Robert F. Stambaugh · Journal of Financial Economics · 1987 · 4.3K citations · Full text
Measuring and Testing the Impact of News on Volatility
Robert F. Engle, Victor Ng · The Journal of Finance · 1993 · 3.7K citations
ARCH MODELS: PROPERTIES, ESTIMATION AND TESTING
Anil K. Bera, Matthew Higgins · Journal of Economic Surveys · 1993 · 800 citations