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SSRN Electronic Journal
Article . 2006 . Peer-reviewed
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Understanding Stock Return Predictability

Authors: Hui Guo; Robert Savickas;

Understanding Stock Return Predictability

Abstract

Over the period 1927:Q1 to 2005:Q4, the average CAPM-based idiosyncratic variance (IV) and stock market variance jointly forecast stock market returns. This result holds up quite well in a number of robustness checks, and we show that the predictive power of the average IV might come from its close relation with systematic risk omitted from CAPM. First, high lagged returns on high IV stocks predict low future returns on the market as a whole. Second, returns on a hedging portfolio that is long in stocks with low IV and short in stocks with high IV perform as well as the value premium in explaining the cross-section of stock returns. Third, realized variance of the hedging portfolio or of the value premium is closely correlated with the average IV, and these variables have similar predictive power for stock returns.

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Keywords

Stock exchanges ; Stock - Prices

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze