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摘要
En 中文
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.
Keyword:
EXPECTED STOCK RETURNS
TRADING VOLUME
PRICING THEORY
LIQUIDITY
PRICES
MARKET
MODEL
MOMENTUM
CRASHES
NUMBER
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期刊
IF:
5.4
论文数:
2.8K
被引数:
3.0W
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