Computer Science – Neural and Evolutionary Computing
Scientific paper
2009-12-08
Lecture Notes in Computer Science 6025:182-191. 2010.
Computer Science
Neural and Evolutionary Computing
Scientific paper
10.1007/978-3-642-12242-2_19
Multi-stage financial decision optimization under uncertainty depends on a careful numerical approximation of the underlying stochastic process, which describes the future returns of the selected assets or asset categories. Various approaches towards an optimal generation of discrete-time, discrete-state approximations (represented as scenario trees) have been suggested in the literature. In this paper, a new evolutionary algorithm to create scenario trees for multi-stage financial optimization models will be presented. Numerical results and implementation details conclude the paper.
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