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Pricing of basket options using univariate normal inverse gaussian approximations

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  • Fred Espen Benth
  • Pål Nicolai Henriksen

Abstract

In this paper we study the approximation of a sum of assets having marginal log-returns being multivariate normal inverse Gaussian distributed. We analyse the choice of a univariate exponential NIG distribution, where the approximation is based on matching of moments. Probability densities and European basket call option prices of the two‐asset and univariate approximations are studied and analysed in two cases, each case consisting of nine scenarios of different volatilities and correlations, to assess the accuracy of the approximation. We find that the sum can be well approximated, failing, however, to match the tails for some extreme parameter choices. The approximated option prices are close to the true ones, although becoming significantly underestimated for far out‐of‐the‐money call options. Copyright (C) 2010 John Wiley & Sons, Ltd.

Suggested Citation

  • Fred Espen Benth & Pål Nicolai Henriksen, 2011. "Pricing of basket options using univariate normal inverse gaussian approximations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(3), pages 355-376, April.
    • Handle: RePEc:jof:jforec:v:30:y:2011:i:3:p:355-376
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    File URL: http://hdl.handle.net/10.1002/for.1179
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    Cited by:

    1. Fred Espen Benth & Giulia Di Nunno & Asma Khedher & Maren Diane Schmeck, 2015. "Pricing of Spread Options on a Bivariate Jump Market and Stability to Model Risk," Applied Mathematical Finance, Taylor & Francis Journals, vol. 22(1), pages 28-62, March.

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