The price-volume relationship of stocks can be impacted substantially by structural changes and market volatility. In this paper, we analyze China's stock market behavior and subsequent price-volume equation, with emphasis on two periods of market volatility and structural changes during 2007-2008 and 2015-2016. To account for the impacts of unknown volatility and time breaks, we embed the price-volume relationship into a vector autoregression (VAR) framework with structural breaks and volatility thresholds. Our results indicate that significant time-breaking effects exist and that the high-low volatility effects are substantial. Finally, in its entirety, we identify only a linear causal relationship from price to volume.
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