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The relationship among daily stock return autocorrelation, trading volume, and price limits are investigated in this paper. Twenty-four Taiwan individual stocks are adopted here. We found that increasing the volume reduces the daily autocorrelation for nearly half of the stocks. This negative volume effect is contrary to the positive price-limit effect, which strengthens the autocorrelation. We use OLS, generalized autoregressive conditional heteroscedasticity (GARCH) and generalized method of moment (GMM) to investigate the sensitivity of the estimation results. Our results display robustness across estimation methods. |
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