Abstract
Stock trading activity is very important to market volatility. The particular market environment of China makes the internal reason of trading volume change more complicated. In order to test how trading activities are driven, we use a vector autoregressive and impulse-response function methodology. First, we study the intertemporal relationship between individual stock trading volume and individual stock return. Then we extend the bivariate vector autoregressive equation to a trivariate vector autoregressive equation to see how lagged market returns as well as lagged individual stock returns impact trading activity. It is concluded that historical stock returns have significantly positive effects on trading volume, and the shocks of both individual firm return and market wide return are transferred to trading activities, and then bring a shock in the same direction to stock trading volume. And this shock can last for times. It suggests that overconfidence and disposition effect are both important factors to drive trading activities. Investors trade (or do not trade) stock not only because of the desire to increase their mental accounts, but also because of their overconfidence and cognitive error.
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