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Titlebook: Optimal Financial Decision Making under Uncertainty; Giorgio Consigli,Daniel Kuhn,Paolo Brandimarte Book 2017 Springer International Publi

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Pricing Multiple Exercise American Options by Linear Programming,non-recombinant tree model with multiple exercise rights. We prove using a simple argument that an optimal exercise policy for an option with . exercise rights is to delay exercise until the last . periods. The result implies that the mixed-integer programming model for computing the lower hedging p
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Stabilizing Implementable Decisions in Dynamic Stochastic Programming,narios to represent the underlying path probability distribution. This represents a tentative solution to the problems first identified in our companion paper (Dempster et al., A comparative study of sampling methods for stochastic programming, forthcoming). Conventional approaches to such problems
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Optimal Financial Decision Making Under Uncertainty,ns included in this volume and a related special issue of OR Spectrum. We do not aim at providing readers with an exhaustive survey, rather we focus on a limited but significant set of modeling and methodological issues. The framework is based on a benchmark discrete-time stochastic control optimiza
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Leonard MacLean,Yonggan Zhaonahmen, welche den Geländegrundriß bis auf den Maßstab und den Einfluß systematischer Verzerrungen richtig wiedergeben. Abbildungen kleineren Maßstabes (unter . 1: 10000) dienen mehr allgemein wirtschaftlichen, militärischen, geographischen sowie Übersichtszwecken und werden als Karten bezeichnet, w
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