Abstract
By using both the individual stock prices quoted on the Tokyo Stock Exchange and their price index (TOPIX), this paper examines whether the conditional variance of stock returns is characterized by the auto-regressive-conditional-heteroskedasticity (ARCH) effect or the information-based effect. The paper finds that the inclusion of the trading volume in both generalized ARCH (GARCH) and exponential GARCH (EGARCH) specifications eliminates the ARCH effect for individual stocks and the TOPIX. The paper explains the reasons for these results. The findings suggest strong support for the information-based variance model which gives a parallel explanation to the ARCH-type models.
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