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Option pricing via radial basis functions: Performance comparison with traditional numerical integration scheme and parameters choice for a reliable pricing

Author

Listed:
  • Pier Giuseppe Giribone

    (CARIGE Bank Group, 15 Cassa di Risparmio, Genoa 16123, Italy)

  • Simone Ligato

    (CARIGE Bank Group, 15 Cassa di Risparmio, Genoa 16123, Italy)

Abstract

This paper aims to examine how the radial basis function (RBF) technique works in the financial field, to compare the RBF performance with the results obtained with traditional methods (FDM, FEM), to choose the more suitable radial basis function to solve option pricing and to explain how its shape parameters can be set. It is crucial to set properly the shape parameter for the precision of the method and ultimately for the determination of the derivatives fair-value. Applying a maximum likelihood estimation (MLE), the authors propose a financial approach for its evaluation based on market/theoretical prices calibration.

Suggested Citation

  • Pier Giuseppe Giribone & Simone Ligato, 2015. "Option pricing via radial basis functions: Performance comparison with traditional numerical integration scheme and parameters choice for a reliable pricing," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-30.
    • Handle: RePEc:wsi:ijfexx:v:02:y:2015:i:02:n:s2424786315500188
    DOI: 10.1142/S2424786315500188
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