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Turning over Turnover

K. J. Martijn Cremers; Jianping Mei1

1 New York University

Review of Financial Studies 2007 open access

This article applies the methodology of Bai and Ng (2002, 2004) for decomposing panel data into systematic and idiosyncratic components to both stock returns and turnover panels. This approach works well for both returns and turnover, despite the presence of severe heteroscedasticity and nonstationarity of individual stocks' turnover. We test the mutual fund separation model of Lo and Wang (2000). Trading due to systematic risk in returns can account for 66% of systematic turnover. Thus, portfolio rebalancing due to systematic risk is a very important motive for stock trading. Finally, several common turnover measures may understate the impact of stock trading.

DOI
10.1093/rfs/hhm038
Volume
20 (6)
Pages
1749-1782
Language
en
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