Resumen
This appendix describes the variance reduction techniques used in this work.
Variance Reduction Techniques
Monte Carlo simulation is very commonly used for evaluating the expected value of a variable that is a function of several stochastic variables, which is a problem that cannot be treated analytically. In this context, one of the methods used for American option pricing is a combination of Monte Carlo simulation with dynamic programming.
Variance Reduction Techniques
Monte Carlo simulation is very commonly used for evaluating the expected value of a variable that is a function of several stochastic variables, which is a problem that cannot be treated analytically. In this context, one of the methods used for American option pricing is a combination of Monte Carlo simulation with dynamic programming.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | Studies in Computational Intelligence |
| Editores | Marco A. C. Pacheco, Marley M. B. R. Vellasco |
| Lugar de publicación | Berlin, Heidelberg |
| DOI | |
| Estado | Publicada - 2009 |