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A Levy process for the GNIG probability law with 2nd order stochastic volatility and applications to option pricing

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  • Anders Eriksson

Abstract

Here we derive the Levy characteristic triplet for the GNIG probability law. This characterizes the corresponding Levy process. In addition we derive equivalent martingale measures with which to price simple put and call options. This is done under two different equivalent martingale measures. We also present a multivariate Levy process where the marginal probability distribution follows a GNIG Levy process. The main contribution is, however, a stochastic process which is characterized by autocorrelation in moments equal and higher than two, here a multivariate specification is provided as well. The main tool for achieving this is to add an integrated Feller square root process to the dynamics of the second moment in a time-deformed Browninan motion. Applications to option pricing are also considered, and a brief discussion is held on the topic of estimation of the suggested process.

Suggested Citation

  • Anders Eriksson, 2010. "A Levy process for the GNIG probability law with 2nd order stochastic volatility and applications to option pricing," Quantitative Finance, Taylor & Francis Journals, vol. 10(1), pages 75-90.
  • Handle: RePEc:taf:quantf:v:10:y:2010:i:1:p:75-90
    DOI: 10.1080/14697680902849353
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    References listed on IDEAS

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    1. Ole E. Barndorff-Nielsen & Neil Shephard, 2006. "Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation," Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 1-30.
    2. Jeannette H.C. Woerner, 2003. "Estimation of Integrated Volatility in Stochastic Volatility Models," OFRC Working Papers Series 2003mf05, Oxford Financial Research Centre.
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