Volatility Surface Calibration to Illiquid Options

László Nagy, M. Ormos
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引用次数: 1

Abstract

This article shows the fragility of the widely-used Stochastic Volatility Inspired (SVI) methodology in option pricing. The results highlight the sensitivity of SVI to the fitting penalty function. The authors compare different weight functions and propose to use the implied vega weights. They then unveil the relationship between vega weights and the minimization task of observed and fitted price differences, and show that implied vega weights can stabilize the SVI fit to illiquid options.
非流动性期权的波动率表面校准
本文展示了期权定价中广泛使用的随机波动率启发(SVI)方法的脆弱性。结果表明了SVI对拟合惩罚函数的敏感性。作者比较了不同的权重函数,并建议使用隐含的维加权重。然后,他们揭示了维加权重和最小化观察和拟合价格差异任务之间的关系,并表明隐含维加权重可以稳定SVI对非流动性期权的拟合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
11
审稿时长
24 weeks
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