Backward Stochastic PDE and Imperfect Hedging

  • M. Mania
    A. Razmadze Mathematical Institute, Georgian Academy of Sciences, 1, M. Aleksidze St., Tbilisi 0193, Georgia
  • R. Tevzadze
    Institute of Cybernetics, Georgian Academy of Sciences, 5, S. Euli St., Tbilisi 0186, Georgia

書誌事項

公開日
2003-11
DOI
  • 10.1142/s0219024903002122
公開者
World Scientific Pub Co Pte Lt

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説明

<jats:p> We consider a problem of minimization of a hedging error, measured by a positive convex random function, in an incomplete financial market model, where the dynamics of asset prices is given by an R<jats:sup>d</jats:sup>-valued continuous semimartingale. Under some regularity assumptions we derive a backward stochastic PDE for the value function of the problem and show that the strategy is optimal if and only if the corresponding wealth process satisfies a certain forward-SDE. As an example the case of mean-variance hedging is considered. </jats:p>

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