Title

The cross-sectional relation between conditional heteroskedasticity, the implied volatility smile, and the variance risk premium.

SelectedWorks Author Profiles:

Wei Guan

Document Type

Article

Publication Date

2013

Date Issued

January 2013

Date Available

August 2016

ISSN

0378-4266

Abstract

This paper estimates how the shape of the implied volatility smile and the size of the variance risk premium relate to parameters of GARCH-type time-series models measuring how conditional volatility responds to return shocks. Markets in which return shocks lead to large increases in conditional volatility tend to have larger variance risk premia than markets in which the impact on conditional volatility is slight. Markets in which negative (positive) return shocks lead to larger increases in future volatility than positive (negative) return shocks tend to have downward (upward) sloping implied volatility smiles. Also, differences in how volatility responds to return shocks as measured by GARCH-type models explain much, but not all, of the variations in excess kurtosis and multi-period skewness across different markets.

Comments

Abstract only. Full-text article is available through licensed access provided by the publisher. Published in Journal of Banking & Finance 37, 3388-3400. doi:10.1016/j.jbankfin.2013.04.017. Members of the USF System may access the full-text of the article through the authenticated link provided.

Language

en_US

Publisher

Elsevier

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.