题名

An Empirical Study on Implied GARCH Models

DOI

10.6339/JDS.2012.10(1).1037

作者

Shih-Feng Huang;Yao-Chun Liu;Jing-Yu Wu

关键词

Empirical martingale simulation ; Esscher transform ; extended Girsanov principle ; implied GARCH model ; option pricing

期刊名称

Journal of Data Science

卷期/出版年月

10卷1期(2012 / 01 / 01)

页次

87 - 105

内容语文

英文

英文摘要

An empirical study is employed to investigate the performance of implied GARCH models in option pricing. The implied GARCH models are established by either the Esscher transform or the extended Girsanov principle. The empirical P-martingale simulation is adopted to compute the options efficiently. The empirical results show that: (i) the implied GARCH models obtain accurate standard option prices even the innovations are conveniently assumed to be normal distributed; (ii) the Esscher transform describes the data better than the extended Girsanov principle; (iii) significant model risk arises when using implied GARCH model with non-proper innovations in exotic option pricing.

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