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Published in: Finance and Stochastics 4/2016

01-10-2016

Short-term asymptotics for the implied volatility skew under a stochastic volatility model with Lévy jumps

Authors: José E. Figueroa-López, Sveinn Ólafsson

Published in: Finance and Stochastics | Issue 4/2016

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Abstract

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.

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Appendix
Available only for authorised users
Footnotes
1
Practitioners commonly use the terms “skew” and “implied volatility skew” for the ATM slope of the implied volatility curve for a given expiration date (see e.g. [34]). We use the terms interchangeably.
 
2
For a Lévy process \(X\) with Lévy measure \(\nu\), the Blumenthal–Getoor index is defined as \(\inf\{p\geq 0:\int_{\{|x|\leq 1\}}|x|^{p}\nu(dx)<\infty\}\).
 
3
Equivalently, \(Z_{t}^{(p)}\) and \(Z_{t}^{(n)}\) are \(Y\)-stable random variables with location parameter 0, skewness parameters 1 and −1, and respective scale parameters \((tC(1)|\cos(\pi Y/2)|\Gamma(-Y))^{1/Y}\) and \((tC(-1)|\cos(\pi Y/2)|\Gamma(-Y))^{1/Y}\).
 
4
In addition to traditional S&P 500 index options (SPX), our dataset includes SPXQ (quarterly) and SPXW (weekly) options. The latter class was first introduced in 2005, and by the end of 2014, it accounted for over 40 % of the overall trading of S&P 500 options on the CBOE (see Fig. 2 in [6]).
 
5
The ATM strike is taken to be the strike price at which the call and put options prices are closest in value. We also set the risk-free interest rate to zero, but using a nonzero rate based on U.S. treasury yields did not change the results of our analysis since the rate is close to zero over the sample period and the time-to-maturity is small.
 
6
The 25-delta put (resp. call) is the option whose strike price has been chosen such that the option’s delta is −0.25 (resp. 0.25). For each maturity, we choose the put (resp. call) whose delta is closest in value to −0.25 (resp. 0.25).
 
7
Repeating the analysis using 10-delta options did not have a qualitative effect on the outcome.
 
8
Pooling data also makes this estimation procedure viable for indices with fewer liquid maturities than S&P 500, as well as individual equity names.
 
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Metadata
Title
Short-term asymptotics for the implied volatility skew under a stochastic volatility model with Lévy jumps
Authors
José E. Figueroa-López
Sveinn Ólafsson
Publication date
01-10-2016
Publisher
Springer Berlin Heidelberg
Published in
Finance and Stochastics / Issue 4/2016
Print ISSN: 0949-2984
Electronic ISSN: 1432-1122
DOI
https://doi.org/10.1007/s00780-016-0313-3

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