Switching Asymmetric GARCH and Options on a Volatility Index
44 Pages Posted: 21 Jan 2003
There are 2 versions of this paper
Switching Asymmetric GARCH and Options on a Volatility Index
Switching Asymmetric GARCH and Options on a Volatility Index
Date Written: May 2002
Abstract
Few proposed types of derivative securities have attracted as much attention and interest as option contracts on volatility. Grunbichler and Longstaff (1996) is the only study that proposes a model to value options written on a volatility index. Their model, which is based on modeling volatility as a GARCH process, does not take into account the switching regime and asymmetry properties of volatility. We show that the Grunbichler and Longstaff (1996) model underprice a 3-month option by about 10%. A Switching Regime Asymmetric GARCH is used to model the generating process of security returns. The comparison between the switching regime model and the traditional uni-regime model among GARCH, EGARCH, and GJR-GARCH demonstrates that a switching regime EGARCH model fits the data best. Next, the values of European call options written on a volatility index are computed using Monte Carlo integration. When comparing the values of the option based on the Switching Regime Asymmetric GARCH model and the traditional GARCH specification, it is found that the option values obtained from the different processes are very different. This clearly shows that the Grunbichler-Longstaff model is too stylized to be used in pricing derivatives on a volatility index.
Keywords: Option pricing, volatility index, switching regime, GARCH
JEL Classification: G13, C22
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Asymmetric and Crash Effects in Stock Volatility for the S&P 100 Index and its Constituents
By Ser-huang Poon, Stephen J. Taylor, ...
-
Stock Market Volatility Changes in Central Europe Caused By Asian and Russian Financial Crises
-
Is There Any Asymmetric Volatility on Individual Stock?
By Chu-hsiung Lin and Ying-fan Chen