Abstract
A strategy for allocating wealth across time when agents face a set of stochastic investment opportunities is presented. This portfolio choice problem implies to solve numerically complex non-linear partial differential equations which requires powerful computer resources. The numerical method for solving this type of convection-diffusion equations in this framework is described. The algorithm is implemented on a vectorial computer and with a Single Program Multiple Data (SPMD) version on a dedicated Massively Parallel Processing (MPP) system. Efficiency of the method is evaluated on both architectures. Numerical results for real market conditions are presented using a wide range of parameter values to explore the validity domain of the algorithm.
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© 1997 Springer-Verlag Berlin Heidelberg
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Breitler, M., Hegi, S., Reymond, JD., Tuchschmid, N.S. (1997). High performance computations for an optimal portfolio choice problem. In: Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1997. Lecture Notes in Computer Science, vol 1225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0031602
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DOI: https://doi.org/10.1007/BFb0031602
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