论文信息 - An Option Pricing Model Using High Frequency Data

An Option Pricing Model Using High Frequency Data

Abstract We propose a European call option evaluation framework accommodating GARCH-M model and its extension to handle irregularly spaced high-frequency data. The framework takes Bayesian approach to derive the predictive distribution for option prices and their volatilities. These predictive distributions vary as time approaches to the expiry data and provide credibility intervals to evaluate the option market. In empirical study, we illustrate the application using KOSPI200 and its options. Our approach results well-suited in the simulation based option pricing and explains a behavior of option prices close to the expiry.

[1] F. Diebold,et al. The distribution of realized stock return volatility , 2001 .

[2] S. Heston,et al. A Closed-Form GARCH Option Valuation Model , 2000 .

[3] Luc Bauwens,et al. Bayesian option pricing using asymmetric GARCH models , 2002 .

[4] Teruo Nakatsuma,et al. Bayesian analysis of ARMA–GARCH models: A Markov chain sampling approach , 2000 .

[5] Dawn Hunter,et al. An analytical approximation for the GARCH option pricing model , 2000 .

[6] Jin-Chuan Duan,et al. American option pricing under GARCH by a Markov chain approximation , 2001 .

[7] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .

[8] Robert F. Engle,et al. The Econometrics of Ultra-High Frequency Data , 1996 .

[9] Peter H. Ritchken,et al. An empirical comparison of GARCH option pricing models , 2006 .

[10] Peter H. Ritchken,et al. Pricing Options under Generalized GARCH and Stochastic Volatility Processes , 1999 .

[11] R. Engle,et al. Implied ARCH models from options prices , 1992 .

[12] I. Kim,et al. Empirical comparison of alternative stochastic volatility option pricing models: Evidence from Korean KOSPI 200 index options market , 2004 .

[13] J. Duan. THE GARCH OPTION PRICING MODEL , 1995 .