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Multi-criteria Classification for Pricing European Options

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  • Nikola Gradojevic

    (IÉSEG School of Management (LEM-CNRS), Lille Catholic University, France; The Rimini Centre for Economic Analysis, Italy)

Abstract

This paper builds a novel multi-criteria, non-parametric classification framework in order to improve the accuracy of pricing European options. The proposed approach is based on classifying financial options according to their implied volatility, time to maturity and moneyness. Using a recent data set for the daily S&P 500 index call options traded in 2012, the multi-criteria modular neural network model demonstrates its superior out-of-sample pricing performance relative to competing parametric and non-parametric models. By observing the model’s pricing errors across various option types, the analysis provides additional insights into pricing biases and stresses the importance of selecting appropriate classification criteria.

Suggested Citation

  • Nikola Gradojevic, 2015. "Multi-criteria Classification for Pricing European Options," Working Paper series 15-13, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:15-13
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    References listed on IDEAS

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    Cited by:

    1. Nikola Gradojevic, 2021. "Brexit and foreign exchange market expectations: Could it have been predicted?," Annals of Operations Research, Springer, vol. 297(1), pages 167-189, February.

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