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Expected gain-loss pricing and hedging of contingent claims in incomplete markets by linear programming

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  • PInar, Mustafa Ç.
  • Salih, AslIhan
  • CamcI, Ahmet

Abstract

We analyze the problem of pricing and hedging contingent claims in the multi-period, discrete time, discrete state case using the concept of a "[lambda] gain-loss ratio opportunity". Pricing results somewhat different from, but reminiscent of, the arbitrage pricing theorems of mathematical finance are obtained. Our analysis provides tighter price bounds on the contingent claim in an incomplete market, which may converge to a unique price for a specific value of a gain-loss preference parameter imposed by the market while the hedging policies may be different for different sides of the same trade. The results are obtained in the simpler framework of stochastic linear programming in a multi-period setting, and have the appealing feature of being very simple to derive and to articulate even for the non-specialist. They also extend to markets with transaction costs.

Suggested Citation

  • PInar, Mustafa Ç. & Salih, AslIhan & CamcI, Ahmet, 2010. "Expected gain-loss pricing and hedging of contingent claims in incomplete markets by linear programming," European Journal of Operational Research, Elsevier, vol. 201(3), pages 770-785, March.
  • Handle: RePEc:eee:ejores:v:201:y:2010:i:3:p:770-785
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    Cited by:

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    2. Braouezec, Yann & Grunspan, Cyril, 2016. "A new elementary geometric approach to option pricing bounds in discrete time models," European Journal of Operational Research, Elsevier, vol. 249(1), pages 270-280.
    3. Erdnç Akyildirim & Albert Altarovici, 2016. "Partial hedging and cash requirements in discrete time," Quantitative Finance, Taylor & Francis Journals, vol. 16(6), pages 929-945, June.
    4. Adedoyin Isola Lawal, 2014. "Tactical Assets Allocation: Evidence from the Nigerian Banking Industry," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 10(2), pages 193-204, April.
    5. Sara Biagini & Mustafa Pinar, 2012. "The best gain-loss ratio is a poor performance measure," Papers 1209.6439, arXiv.org, revised Dec 2012.
    6. Marroquı´n-Martı´nez, Naroa & Moreno, Manuel, 2013. "Optimizing bounds on security prices in incomplete markets. Does stochastic volatility specification matter?," European Journal of Operational Research, Elsevier, vol. 225(3), pages 429-442.

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