Martingale optimal transport in the discrete case via simple linear programming techniques

Nicole Bäuerle () and Daniel Schmithals ()
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Nicole Bäuerle: Karlsruhe Institute of Technology (KIT)
Daniel Schmithals: Karlsruhe Institute of Technology (KIT)

Mathematical Methods of Operations Research, 2019, vol. 90, issue 3, No 5, 453-476

Abstract: Abstract We consider the problem of finding consistent upper price bounds and super replication strategies for exotic options, given the observation of call prices in the market. This field of research is called model-independent finance and has been introduced by Hobson (Finance Stoch 2(4):329–347, 1998). Here we use the link to mass transport problems. In contrast to existing literature we assume that the marginal distributions at the two time points we consider are discrete probability distributions. This has the advantage that the optimization problems reduce to linear programs and can be solved rather easily when assuming a general martingale Spence Mirrlees condition. We will prove the optimality of left-monotone transport plans under this assumption and provide an algorithm for its construction. Our proofs are simple and do not require much knowledge of probability theory. At the end we present an example to illustrate our approach.

Keywords: Martingale optimal transport; Linear programming; Convex order; Left-monotone transport plan (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s00186-019-00684-8

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