Least Square Regression Methods for Bermudan Derivatives and Systems of Functions
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Least square regression methods are Monte Carlo methods to solve non-linear problems related to Markov processes and are widely used in practice. In these methods, first we choose a system of functions to approximate value functions. So one of questions on these methods is what kinds of systems of functions one has to take to get a good approximation. In the present paper, we will discuss on this problem.
KeywordsComputational finance Option pricing Malliavin calculus Least square regression methods
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