Approximating the GJR-GARCH and EGARCH Option Pricing Models Analytically
نویسندگان
چکیده
In Duan, Gauthier and Simonato (1999), an analytical approximate formula for European options in the GARCH framework was developed. The formula is however restricted to the nonlinear asymmetric GARCH model. This paper extends the same approach to two other important GARCH specifications GJR-GARCH and EGARCH. We provide the corresponding formulas and study their numerical performance. keywords: Option pricing, EGARCH, GJR-GARCH, analytical approximation Duan is with Rotman School of Management, University of Toronto; Gauthier and Simonato are with HEC Montréal; Sasseville is a Ph.D. candidate at the Kellog Graduate Business School. Duan, Gauthier and Simonato acknowledge the financial support from the Natural Sciences and Engineering Research Council of Canada (NSERC), Les Fonds pour la Formation de Chercheurs et l’Aide à la Recherche du Québec (FCAR) and from the Social Sciences and Humanities Research Council of Canada (SSHRC). Duan also acknowledges support received as the Manulife Chair in Financial Services.
منابع مشابه
Asymmetry and Leverage in Conditional Volatility Models
The three most popular univariate conditional volatility models are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or EGARCH) model of Nelson (1990, 1991). The underlying stochastic specification to obtain GARCH was demonstr...
متن کاملOption Pricing Using EGARCH Models - Proceedings AFIR 1996 - Nürnberg, Germany
Various e m p i r i d studies have shown that the time-varying volatility of asset returns can be described by GARCH (generalized autoregressive conditional heteroskedasticity) models. The corresponding GARCH option pricing model of Duan (1995) is capable of depicting the "smile-effect" which often can be found in option prices. In some derivative markets, however, the slope of the smile is not...
متن کاملThe Correct Regularity Condition and Interpretation of Asymmetry in EGARCH*
In the class of univariate conditional volatility models, the three most popular are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or EGARCH) model of Nelson (1990, 1991). For purposes of deriving the mathematical regularit...
متن کاملArtificial Neural Networks – an Application to Stock Market Volatility
The present study aims at applying different methods i.e GARCH, EGARCH, GJRGARCH, IGARCH & ANN models for calculating the volatilities of Indian stock markets. Fourteen years of data of BSE Sensex & NSE Nifty are used to calculate the volatilities. The performance of data exhibits that, there is no difference in the volatilities of Sensex, & Nifty estimated under the GARCH, EGARCH, GJR GARCH, I...
متن کاملAn Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange
Background: In light of the latest global financial crisis and the ongoing sovereign debt crisis, accurate measuring of market losses has become a very current issue. One of the most popular risk measures is Value-at-Risk (VaR). Objectives: Our paper has two main purposes. The first is to test the relative performance of selected GARCH-type models in terms of their ability of delivering volatil...
متن کامل