Which GARCH Model for Option Valuation?

46 Pages Posted: 25 Apr 2002 Last revised: 16 Jun 2008

See all articles by Peter Christoffersen

Peter Christoffersen

University of Toronto - Rotman School of Management; Copenhagen Business School; Aarhus University - CREATES

Kris Jacobs

University of Houston - C.T. Bauer College of Business

Date Written: May 27, 2004

Abstract

Characterizing asset return dynamics using volatility models is an important part of empirical finance. The existing literature on GARCH models favors some rather complex volatility specifications whose relative performance is usually assessed through their likelihood based on a time-series of asset returns. This paper compares a range of GARCH models along a different dimension, using option prices and returns under the risk-neutral as well as the physical probability measure. We judge the relative performance of various models by evaluating an objective function based on option prices. In contrast with returns-based inference, we find that our option-based objective function favors a relatively parsimonious model. Specifically, when evaluated out-of-sample, our analysis favors a model that besides volatility clustering only allows for a standard leverage effect.

Keywords: option pricing, GARCH, risk-neutral pricing, parsimony, forecasting, out-of-sample

JEL Classification: G12

Suggested Citation

Christoffersen, Peter and Jacobs, Kris, Which GARCH Model for Option Valuation? (May 27, 2004). Available at SSRN: https://ssrn.com/abstract=306843 or http://dx.doi.org/10.2139/ssrn.306843

Peter Christoffersen (Contact Author)

University of Toronto - Rotman School of Management ( email )

105 St. George Street
Toronto, Ontario M5S 3E6 M5P 3C4
Canada
416-946-5511 (Phone)

Copenhagen Business School

Solbjerg Plads 3
Frederiksberg C, DK - 2000
Denmark

Aarhus University - CREATES

School of Economics and Management
Building 1322, Bartholins Alle 10
DK-8000 Aarhus C
Denmark

Kris Jacobs

University of Houston - C.T. Bauer College of Business ( email )

Houston, TX 77204-6021
United States

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