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simulation study is then conducted to ascertain the performance of the estimation method. …
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exercise boundary obtained with simulation based methods for American option pricing. The method works by exploiting and … of simulation setup, the characteristics of the option, and the dimensionality of the problem. Finally, because our …
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regression and simulation-based least-squares Monte Carlo method by using put-call symmetry. The results show that, for a large …
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Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences about unknown ones. In Bayesian forecasting, one simply takes a subset of...
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