Average correlation and stock market returns

被引:119
作者
Pollet, Joshua M. [1 ]
Wilson, Mungo [2 ]
机构
[1] Michigan State Univ, Dept Finance, E Lansing, MI 48824 USA
[2] Univ Oxford, Said Business Sch, Oxford OX1 1HP, England
关键词
Correlation; Roll critique; IDIOSYNCRATIC RISK; TESTS; VOLATILITY; CONSUMPTION; MODEL;
D O I
10.1016/j.jfineco.2010.02.011
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
If the Roll critique is important, changes in the variance of the stock market may be only weakly related to changes in aggregate risk and subsequent stock market excess returns. However, since individual stock returns share a common sensitivity to true market return shocks, higher aggregate risk can be revealed by higher correlation between stocks. In addition, a change in stock market variance that leaves aggregate risk unchanged can have a zero or even negative effect on the stock market risk premium. We show that the average correlation between daily stock returns predicts subsequent quarterly stock market excess returns. We also show that changes in stock market risk holding average correlation constant can be interpreted as changes in the average variance of individual stocks. Such changes have a negative relation with future stock market excess returns. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:364 / 380
页数:17
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