Expected gain-loss pricing and hedging of contingent claims in incomplete markets by linear programming
Pinar, M. C.
European Journal of Operational Research
770 - 785
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Pınar, M. Ç., Salih, A., & Camcı, A. (2010). Expected gain–loss pricing and hedging of contingent claims in incomplete markets by linear programming. European Journal of Operational Research, 201(3), 770-785.
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/11752
We analyze the problem of pricing and hedging contingent claims in the multi-period, discrete time, discrete state case using the concept of a "λ 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. © 2009 Elsevier B.V. All rights reserved.