Title
Volatility Spreads and Expected Stock Returns
Abstract
This paper investigates whether realized and implied volatilities of individual stocks can predict the cross-sectional variation in expected returns. Although the levels of volatilities from the physical and risk-neutral distributions cannot predict future returns, there is a significant relation between volatility spreads and expected stock returns. Portfolio level analyses and firm-level cross-sectional regressions indicate a negative and significant relation between expected returns and the realized-implied volatility spread that can be viewed as a proxy for volatility risk. The results also provide evidence for a significantly positive link between expected returns and the call-put options' implied volatility spread that can be considered as a proxy for jump risk. The parameter estimates from the VAR-bivariate-GARCH model indicate significant information flow from individual equity options to individual stocks, implying informed trading in options by investors with private information.
Year
DOI
Venue
2009
10.1287/mnsc.1090.1063
Management Science
Keywords
Field
DocType
expected return,realized-implied volatility spread,expected stock returns,volatility risk,implied volatility,significant relation,individual equity option,expected stock return,individual stock,implied volatility spread,volatility spreads,volatility spread,private information,parameter estimation,cross section,garch model,realized volatility,information flow
Econometrics,Implied volatility,Realized variance,Economics,Financial economics,Volatility swap,Volatility risk,Microeconomics,Volatility smile,Forward volatility,Volatility (finance),Volatility risk premium
Journal
Volume
Issue
ISSN
55
11
0025-1909
Citations 
PageRank 
References 
4
0.87
0
Authors
2
Name
Order
Citations
PageRank
Turan G. Bali1194.86
Armen Hovakimian240.87