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Hedging Greeks for a Portfolio of Options Using Linear and Quadratic Programming

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  • Pankaj Sinha
  • Archit Johar

Abstract

The aim of this paper is to develop a hedging methodology for making a portfolio of options delta, vega and gamma neutral by taking positions in other available options, and simultaneously minimizing the net premium to be paid for the hedging. A quadratic programming solution for the problem is formulated, and then it is approximated to a linear programming solution. A prototype for the linear programming solution has been developed in MS Excel using VBA.

Suggested Citation

  • Pankaj Sinha & Archit Johar, 2010. "Hedging Greeks for a Portfolio of Options Using Linear and Quadratic Programming," Journal of Prediction Markets, University of Buckingham Press, vol. 4(1), pages 17-26, May.
    • Handle: RePEc:buc:jpredm:v:4:y:2010:i:1:p:17-26
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    References listed on IDEAS

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    1. Papahristodoulou, Christos, 2004. "Option strategies with linear programming," European Journal of Operational Research, Elsevier, vol. 157(1), pages 246-256, August.
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    Cited by:

    1. Libo Yin & Liyan Han, 2013. "Options strategies for international portfolios with overall risk management via multi-stage stochastic programming," Annals of Operations Research, Springer, vol. 206(1), pages 557-576, July.
    2. Pankaj Sinha & Akshay Gupta & Hemant Mudgal, 2010. "Active Hedging Greeks of an Options Portfolio Integrating Churning and Minimization of Cost of Hedging Using Quadratic & Linear Programing," Journal of Prediction Markets, University of Buckingham Press, vol. 4(2), pages 1-14, September.
    3. Libo Yin & Liyan Han, 2020. "International Assets Allocation with Risk Management via Multi-Stage Stochastic Programming," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 383-405, February.

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    1. Pankaj Sinha & Akshay Gupta & Hemant Mudgal, 2010. "Active Hedging Greeks of an Options Portfolio Integrating Churning and Minimization of Cost of Hedging Using Quadratic & Linear Programing," Journal of Prediction Markets, University of Buckingham Press, vol. 4(2), pages 1-14, September.
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    5. Libo Yin & Liyan Han, 2020. "International Assets Allocation with Risk Management via Multi-Stage Stochastic Programming," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 383-405, February.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • G00 - Financial Economics - - General - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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