Quotation Rudloff, Birgit. 2007. Convex Hedging in Incomplete Markets. Applied Mathematical Finance 14 (5): S. 437-452.




In incomplete financial markets not every contingent claim can be replicated by a self‐financing strategy. The risk of the resulting shortfall can be measured by convex risk measures, recently introduced by Föllmer and Schied (2002). The dynamic optimization problem of finding a self‐financing strategy that minimizes the convex risk of the shortfall can be split into a static optimization problem and a representation problem. It follows that the optimal strategy consists in superhedging the modified claim \phi H, where H is the payoff of the claim and \phi is a solution of the static optimization problem, an optimal randomized test. In this paper, necessary and sufficient optimality conditions are deduced for the static problem using convex duality methods. The solution of the static optimization problem turns out to be a randomized test with a typical 0–1‐structure.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Applied Mathematical Finance
WU-Journal-Rating new VW-D
Language English
Title Convex Hedging in Incomplete Markets
Volume 14
Number 5
Year 2007
Page from 437
Page to 452
Reviewed? Y
URL http://www.tandfonline.com/doi/abs/10.1080/13504860701352206
DOI http://dx.doi.org/10.1080/13504860701352206


Rudloff, Birgit (Details)
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