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Title: Orderflow, type of trader, public information and relation with volatility
Keywords: Idiosyncratic Volatility, Information, Private Information, Noise, Price Informativeness
Issue Date: 20-Feb-2009
Citation: SHEN JIANFENG (2009-02-20). Orderflow, type of trader, public information and relation with volatility. ScholarBank@NUS Repository.
Abstract: Roll (1988) finds that idiosyncratic influences strongly dominate systematic influences in stock returns. However, it is extensively debated that whether the prevailing idiosyncratic influences are due to firm-specific information or noise. In this paper, I empirically address this question by examining the contribution of the proxies of private information, public information and noise to the cross-sectional variation of idiosyncratic volatility. My empirical findings suggest that private information incorporated in the prices strongly dominates public information and noise in driving the variation of idiosyncratic volatility. Furthermore, the explanatory power of noise for idiosyncratic volatility decreases with the horizon over which returns are measured. The findings in this paper support the information-based interpretation of idiosyncratic volatility that prices of stocks with greater idiosyncratic volatility are more informative.
Appears in Collections:Ph.D Theses (Open)

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