Estimation and Calibration of a Dynamic Variance Gamma Model Using Vix Data

L. Mercuri
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引用次数: 1

Abstract

The aim of this paper is to investigate the ability of the Dynamic Variance Gamma model, recently proposed by Bellini and Mercuri (2010), to evaluate option prices on the S&P500 index. We also provide a simple relation between the Dynamic Variance Gamma model and the Vix index. We use this result to build a maximum likelihood estimation procedure and to calibrate the model on option data.
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用Vix数据估计和校正动态方差伽玛模型
本文的目的是研究Bellini和Mercuri(2010)最近提出的动态方差Gamma模型评估标准普尔500指数期权价格的能力。我们还提供了动态方差伽玛模型和Vix指数之间的简单关系。我们利用这个结果建立了一个极大似然估计程序,并在期权数据上校准了模型。
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