Approximation and Calibration of Short-Term Implied Volatilities Under Jump-Diffusion Stochastic Volatility

We derive a closed-form asymptotic expansion formula for option implied volatility under a two-factor jump-diffusion stochastic volatility model when time-to-maturity is small. Based on numerical experiments we describe the range of time-to-maturity and moneyness for which the approximation is accurate. We further propose a simple calibration procedure of an arbitrary parametric model to short-term near-the-money implied volatilities. An important advantage of our approximation is that it is free of the unobserved spot volatility. Therefore, the model can be calibrated on option data pooled across different calendar dates in order to extract information from the dynamics of the implied volatility smile. An example of calibration to a sample of S&P500 option prices is provided. We find that jumps are significant. The evidence also supports an affine specification for the jump intensity and Constant-Elasticity-of-Variance for the dynamics of the return volatility.

[1]  David S. Bates The Crash of ʼ87: Was It Expected? The Evidence from Options Markets , 1991 .

[2]  S. Heston A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options , 1993 .

[3]  Andrew W. Lo,et al.  Nonparametric estimation of state-price densities implicit in financial asset prices , 1995, Proceedings of 1995 Conference on Computational Intelligence for Financial Engineering (CIFEr).

[4]  N. Touzi,et al.  Option Hedging And Implied Volatilities In A Stochastic Volatility Model , 1996 .

[5]  David S. Bates Post-&Apos;87 Crash Fears in S&P 500 Futures Options , 1997 .

[6]  Gurdip Bakshi,et al.  Empirical Performance of Alternative Option Pricing Models , 1997 .

[7]  Olivier Ledoit,et al.  Relative Pricing of Options with Stochastic Volatility , 1998 .

[8]  P. Schönbucher A market model for stochastic implied volatility , 1999, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[9]  P. J. Schonbucher A market model for stochastic implied volatility , 1999 .

[10]  E. Ghysels,et al.  A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuation , 2000 .

[11]  Alan L. Lewis Option Valuation under Stochastic Volatility , 2000 .

[12]  David S. Bates Post-'87 crash fears in the S&P 500 futures option market , 2000 .

[13]  Roger Lee Implied and local volatilities under stochastic volatility , 2000 .

[14]  MARKET MODEL OF STOCHASTIC IMPLIED VOLATILITY WITH APPLICATION TO THE BGM MODEL , 2000 .

[15]  G. Papanicolaou,et al.  MEAN-REVERTING STOCHASTIC VOLATILITY , 2000 .

[16]  Luca Benzoni,et al.  An Empirical Investigation of Continuous-Time Equity Return Models , 2001 .

[17]  Jun Pan The Jump-Risk Premia Implicit in Options : Evidence from an Integrated Time-Series Study , 2001 .

[18]  P. Carr,et al.  The Finite Moment Log Stable Process and Option Pricing , 2003 .

[19]  P. Carr,et al.  What Type of Process Underlies Options? A Simple Robust Test , 2003 .

[20]  Jun Pan The jump-risk premia implicit in options: evidence from an integrated time-series study $ , 2002 .

[21]  David S. Bates Empirical option pricing: a retrospection , 2003 .

[22]  C. S. Jones The dynamics of stochastic volatility: evidence from underlying and options markets , 2003 .

[23]  Liuren Wu,et al.  Accounting for Biases in Black-Scholes , 2004 .

[24]  Bjørn Eraker Do Stock Prices and Volatility Jump? Reconciling Evidence from Spot and Option Prices , 2004 .

[25]  Michael S. Johannes,et al.  Model Specification and Risk Premia: Evidence from Futures Options , 2005 .