• DocumentCode
    1918383
  • Title

    Skewness and kurtosis in pricing European and American options

  • Author

    Paulson, A.S. ; Scacchia, J.H. ; Goldenberg, D.H.

  • Author_Institution
    Sch. of Manage., Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    1997
  • fDate
    23-25 Mar 1997
  • Firstpage
    171
  • Lastpage
    176
  • Abstract
    This paper introduces models for pricing of European options when the future asset price structure is governed by a non-normal probability structure characterized by a mean, standard deviation (volatility), skewness, and kurtosis. The non-normal probability structure is derived from a normal probability structure in a particularly convenient way, the normal powers asymptotic expansion. Conditions on skewness and kurtosis are provided for the applicability of the pricing model. The pricing model reduces as a special case to the classical pricing model, i.e., skewness and kurtosis both zero. Prices are determined by simulation. We derive the differential characteristics of the option prices including the rates of change of the option with respect to skewness and kurtosis. Problems associated with estimation of implied skewness and kurtosis are discussed. Numerical difficulties with simultaneous estimating of implied volatility, skewness, and kurtosis suggest that implied skewness and kurtosis are very dynamic or are unstable. We provide a number of examples, graphical representations and applications. The behavior of the skewness-kurtosis pricing models is contrasted with the classical model. Graphical pricing methods are provided and discussed
  • Keywords
    costing; economic cybernetics; finance; probability; simulation; stock markets; American options; European options; asymptotic expansion; differential characteristics; future asset price structure; graphical pricing methods; graphical representations; kurtosis; models; nonnormal probability structure; pricing; simulation; skewness; standard deviation; volatility; Asset management; Contracts; Finance; Gaussian distribution; Loans and mortgages; Pricing; Risk management; Security; Technology management; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering (CIFEr), 1997., Proceedings of the IEEE/IAFE 1997
  • Conference_Location
    New York City, NY
  • Print_ISBN
    0-7803-4133-3
  • Type

    conf

  • DOI
    10.1109/CIFER.1997.618931
  • Filename
    618931