Short-term asymptotics for the implied volatility skew under a stochastic volatility model with Lévy jumps
Short-term asymptotics for the implied volatility skew under a stochastic volatility model with Lévy jumps
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Lévy 跳跃随机波动率模型下隐含波动率偏度的短期渐近
DOI:
10.1007/s00780-016-0313-3
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发表时间:
2016
影响因子:
1.7
通讯作者:
Sveinn Ólafsson
中科院分区:
文献类型:
--
作者:
José E. Figueroa;Sveinn Ólafsson
The implied volatility skew has received relatively little attention in the literature on short-term asymptotics for financial models with jumps, despite its importance in model selection and calibration. We rectify this by providing high order asymptotic expansions for the at-the-money implied volatility skew, under a rich class of stochastic volatility models with independent stable-like jumps of infinite variation. The case of a pure-jump stable-like Lévy model is also considered under the minimal possible conditions for the resulting expansion to be well defined. Unlike recent results for “near-the-money” option prices and implied volatility, the results herein aid in understanding how the implied volatility smile near expiry is affected by important features of the continuous component, such as the leverage and vol-of-vol parameters. As intermediary results, we obtain high order expansions for at-the-money digital call option prices, which furthermore allow us to infer analogous results for the delta of at-the-money options. Simulation results indicate that our asymptotic expansions give good fits for options with maturities up to one month, underpinning their relevance in practical applications, and an analysis of the implied volatility skew in recent S&P 500 options data shows it to be consistent with the infinite variation jump component of our models.