Record Details

What Kind of Trading Drives Return Autocorrelation?

Journal of Financial Studies

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Field Value
 
Title What Kind of Trading Drives Return Autocorrelation?
 
Creator Chun-Kuei Hsieh
Shing-yang Hu
 
Subject
 
Description This paper proposes new tests for the prediction of Llorente, Michaely, Saar, and Wang (2002) that information trading drives positive autocorrelation. Daily data from the Taiwan Stock Exchange is used to exploit the differences in the trading motivations of three groups of institutional investors. Consistent with the predictions, we find that heavy trading by foreigners and mutual funds will increase the autocorrelation particularly for large firms, and that heavy trading by dealers will not. We also find that the sell volume of mutual funds - short sales are disallowed by regulation - has significantly smaller effect on the autocorrelation of returns than buy volume. A portfolio strategy that exploits the observed autocorrelation pattern can generate a significantly positive daily return.Key words: Institutional trading, information trading, return autocorrelation, short-sale constraints
 
Publisher Journal of Financial Studies
財務金èžå­¸åˆŠ
 
Contributor
 
Date 2011-03-04
 
Type
 
Format application/pdf
 
Identifier http://www.jfs.org.tw/index.php/jfs/article/view/2011037
 
Source Journal of Financial Studies; Vol 18, No 2 (2010); 65
財務金èžå­¸åˆŠ; Vol 18, No 2 (2010); 65
 
Language en