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Carlo simulation of suitable probabilistic representations in connection with the respective parabolic boundary value … problem. The methods presented are supported by numerical simulation experiments. …
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In this paper we develop several regression algorithms for solving general stochastic optimal control problems via Monte Carlo. This type of algorithms is particularly useful for problems with a highdimensional state space and complex dependence structure of the underlying Markov process with...
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Bermudan options using regression methods and Monte Carlo simulation. These methods rely on conditional probabilistic … of the developed methods. -- American and Bermudan options ; Optimal stopping times ; Monte Carlo simulation ; Deltas …
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