Estimating multidimensional density functions using the Malliavin-Thalmaier formula
The Malliavin-Thalmaier formula was introduced for simulation of high dimensional probability density functions. But when this integration by parts formula is applied directly in computer simulations, we show that it is unstable. We propose an approximation to the Malliavin-Thalmaier formula. In thi...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2007 |
| País: | Perú |
| Institución: | Pontificia Universidad Católica del Perú |
| Repositorio: | PUCP-Institucional |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/96672 |
| Acceso en línea: | http://revistas.pucp.edu.pe/index.php/promathematica/article/view/10249/10694 |
| Access Level: | acceso abierto |
| Palabra clave: | Malliavin Calculus Financial Engineering Greeks Sensitivity Analysis Density Estimation https://purl.org/pe-repo/ocde/ford#1.01.00 |
| Sumario: | The Malliavin-Thalmaier formula was introduced for simulation of high dimensional probability density functions. But when this integration by parts formula is applied directly in computer simulations, we show that it is unstable. We propose an approximation to the Malliavin-Thalmaier formula. In this paper, we find the order of the bias and the variance of the approximation error. And we obtain an explicit Malliavin-Thalmaier formula for the calculation of Greeks in finance. The weights obtained are free from the curse of dimensionality. |
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