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Daily Return Volatility, Bid-Ask Spreads, and Information Flow: Analyzing the Information Content of Volume

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Author Info
Jinliang Li (Northeastern University)
Chunchi Wu (Singapore Management University and Syracuse University)
Abstract

This paper examines the relationship among daily information flow, return volatility, and bid-ask spreads based on the framework of the mixture of distribution hypothesis (MDH). The MDH model is modified to permit separate effects of informed and liquidity trading volume on return volatility. The results show that the positive relationship between volatility and volume is primarily driven by the informed component of trading. When we control for the information flow, volatility is negatively related to trading volume. Furthermore, bid-ask spreads are positively related to the intensity of information flow.

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File URL: http://www.journals.uchicago.edu/cgi-bin/resolve?JB790515
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Publisher Info
Article provided by University of Chicago Press in its journal Journal of Business.

Volume (Year): 79 (2006)
Issue (Month): 5 (September)
Pages: 2697-2740
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ucp:jnlbus:v:79:y:2006:i:5:p:2697-2740

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Postal: The University of Chicago Press, Journals Division, P.O. Box 37005 Chicago, IL 60637
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