Stock Returns and Volatility on China's Stock Markets
Posted: 8 Nov 2000
We examine time-series features of stock returns and volatility, as well as the relation between return and volatility in four of China's stock exchanges. Variance-ratio tests reject the hypothesis that stock return follows a random walk. We find evidence of long memory of returns. Application of GARCH and EGARCH models provides strong evidence of time-varying volatility and shows volatility is highly persistent and predictable. The results of GARCH-M do not show any relation between expected returns and expected risk. Daily trading volume used as a proxy for information arrival time has no significant explanatory power for the conditional volatility of daily returns.
JEL Classification: G15
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