Efficient Numerical Inversion for Financial Simulations View Full Text


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Chapter Info

DATE

2009-11-17

AUTHORS

Gerhard Derflinger , Wolfgang Hörmann , Josef Leydold , Halis Sak

ABSTRACT

Generating samples from generalized hyperbolic distributions and non-central chi-square distributions by inversion has become an important task for the simulation of recent models in finance in the framework of (quasi-) Monte Carlo. However, their distribution functions are quite expensive to evaluate and thus numerical methods like root finding algorithms are extremely slow. In this paper we demonstrate how our new method based on Newton interpolation and Gauss-Lobatto quadrature can be utilized for financial applications. Its fast marginal generation times make it competitive, even for situations where the parameters are not always constant. More... »

PAGES

297-304

Book

TITLE

Monte Carlo and Quasi-Monte Carlo Methods 2008

ISBN

978-3-642-04106-8
978-3-642-04107-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-04107-5_18

DOI

http://dx.doi.org/10.1007/978-3-642-04107-5_18

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038756084


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