南非股票背景下GARCH期权定价模型

ORiON Pub Date : 2020-08-31 DOI:10.5784/36-1-676
PJ Venter, E. Maré
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引用次数: 0

摘要

本文将不同的单变量GARCH期权定价模型应用于FTSE/JSE top40指数,以确定在建模隐含南非波动率指数(SAVI)时表现最佳的模型。考虑了3个di 事件GARCH模型(1个对称和2个不对称),并使用3个di 事件对数似然函数进行模型参数估计。此外,通过比较GARCH隐含的SAVI和历史SAVI来检验每个模型的准确性。此外,通过比较GARCH隐含价格与市场期权价格,对各模型的定价性能进行了检验。实证结果表明,纳入不对称e 效应的模型在定价性能上优于竞争模型。关键词:计量经济学,金融市场,定价,随机过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GARCH option pricing models in a South African equity context
In this paper, di erent univariate GARCH option pricing models are applied to the FTSE/JSE Top 40 index to determine the best performing model  when modelling the implied South African Volatility Index (SAVI). Three di erent GARCH models (one symmetric and two asymmetric) are considered and three di erent log-likelihood functions are used in the model parameter estimation. Furthermore, the accuracy of each model is tested by comparing the GARCH implied SAVI to the historical SAVI. In addition, the pricing performance of each model is tested by comparing the GARCH implied price to market option prices. The empirical results indicate that the models incorporating asymmetric e ects outperform competing models in terms of pricing performance. Key words: Econometrics, nancial markets, pricing, stochastic processes.
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