This paper uses a new statistical model (ACD-GARCH) to analysis the high-frequency data which arrive at irregular intervals in China stock market. We use the ACD-GARCH model to analysis the relation among the transactions duration and the returns and variances for the index of Shanghai and Shenzhen stock market.
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