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Idiosyncratic Volatility Measures and Expected Return


Jason Fink


James Madison University - College of Business

Kristin Fink


James Madison University - College of Business

Hui He


James Madison University

October 14, 2010


Abstract:     
We test whether expected idiosyncratic volatility is related to the cross section of asset returns. We find that, contrary to several recent papers, expected idiosyncratic volatility has no reliable relationship to expected returns. Further, realized contemporaneous idiosyncratic volatility does have a positive relationship with expected returns - this relationship is driven by unexpected idiosyncratic volatility. A look-ahead bias that has been present in recent papers has led to false conclusions about the relationship between expected idiosyncratic volatility and expected return. Our findings are robust to several choices of volatility forecasting models and systematic factor models.

Number of Pages in PDF File: 37

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Date posted: October 16, 2010  

Suggested Citation

Fink, Jason, Fink, Kristin and He, Hui, Idiosyncratic Volatility Measures and Expected Return (October 14, 2010). Available at SSRN: http://ssrn.com/abstract=1692315 or http://dx.doi.org/10.2139/ssrn.1692315

Contact Information

Jason Fink (Contact Author)
James Madison University - College of Business ( email )
Harrisonburg, VA 22807
United States
540-568-8107 (Phone)
Kristin Fink
James Madison University - College of Business ( email )
Harrisonburg, VA 22807
United States
Hui He
James Madison University ( email )
MSC0203
Department of Finance and Business Law
Harrisonburg, VA 22807
United States
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