隐含波动率曲面的DSFM拟合

Szymon Borak, Matthias R. Fengler, Wolfgang Hiirdle
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引用次数: 11

摘要

隐含波动率是现代定量金融中的关键问题之一,因为普通期权价格包含了对特殊和非流动性期权的定价和对冲的重要信息。欧洲普通香草期权现在被广泛交易,这导致了大量的高维数据,特别是在日内水平上。数据揭示了一个退化的字符串结构。动态半参数因子模型(DSFM)专门用于处理复杂、退化的数据,并产生隐含波动率表面(IVS)的低维表示。讨论了该模型的估计问题,并将其应用于DAX期权价格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DSFM fitting of implied volatility surfaces
Implied volatility is one of the key issues in modern quantitative finance, since plain vanilla option prices contain vital information for pricing and hedging of exotic and illiquid options. European plain vanilla options are nowadays widely traded, which results in a great amount of high-dimensional data especially on an intra day level. The data reveal a degenerated string structure. Dynamic semiparametric factor models (DSFM) are tailored to handle complex, degenerated data and yield low dimensional representations of the implied volatility surface (IVS). We discuss estimation issues of the model and apply it to DAX option prices.
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