Economy – Quantitative Finance – Computational Finance
Scientific paper
2010-08-02
SIAM J. Numer. Anal. 49(1), 213-231, 2011
Economy
Quantitative Finance
Computational Finance
18 Pages, 4 Figures. This updated version has a slightly more detailed introduction. In the current form, the paper will appea
Scientific paper
10.1137/100797606
We present a simple and easy to implement method for the numerical solution of a rather general class of Hamilton-Jacobi-Bellman (HJB) equations. In many cases, the considered problems have only a viscosity solution, to which, fortunately, many intuitive (e.g. finite difference based) discretisations can be shown to converge. However, especially when using fully implicit time stepping schemes with their desirable stability properties, one is still faced with the considerable task of solving the resulting nonlinear discrete system. In this paper, we introduce a penalty method which approximates the nonlinear discrete system to first order in the penalty parameter, and we show that an iterative scheme can be used to solve the penalised discrete problem in finitely many steps. We include a number of examples from mathematical finance for which the described approach yields a rigorous numerical scheme and present numerical results.
Reisinger Christoph
Witte Jan Hendrik
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