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On the minimal martingale measure and the moumlllmer-schweizer decomposition 

Author: Martin Schweizer a
Affiliation:   a Univexsiaumlt Goumlttitigen, Institut fuumlr Mathematische Stochastik,, Lotzestrasze, Goumlttingen, Germany
DOI: 10.1080/07362999508809418
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 13, Issue 5 1995 , pages 573 - 599
Formats available: PDF (English)
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Abstract

We provide three characterizations of the minimal martingale measure(P)circ associated to a given d-dimensional semimartingale X. In each case, (P)circ is shown to be the unique solution of an optimization problem where one minimizes a certain functional over a suitable class of signed local martingale measures for X. Furthermore, we extend a result of Ansel and Stricker on the Foumlllmer-Schweizer decomposition to the case where X is continuous, but multidimensional.
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