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» Quasi-Monte Carlo Methods in Finance
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ISPA
2004
Springer
14 years 27 days ago
A Scalable Low Discrepancy Point Generator for Parallel Computing
The Monte Carlo (MC) method is a simple but effective way to perform simulations involving complicated or multivariate functions. The QuasiMonte Carlo (QMC) method is similar but...
Kwong-Ip Liu, Fred J. Hickernell
WSC
2008
13 years 9 months ago
Fast simulation of equity-linked life insurance contracts with a surrender option
In this paper, we consider equity-linked life insurance contracts that give their holder the possibility to surrender their policy before maturity. Such contracts can be valued us...
Carole Bernard, Christiane Lemieux
NAA
2000
Springer
125views Mathematics» more  NAA 2000»
13 years 11 months ago
Matrix Computations Using Quasirandom Sequences
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...
Michael Mascagni, Aneta Karaivanova
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 1 months ago
Local and global order 3/2 convergence of a surrogate evolutionary algorithm
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...
Anne Auger, Marc Schoenauer, Olivier Teytaud
NAA
2000
Springer
131views Mathematics» more  NAA 2000»
13 years 11 months ago
Parallel Monte Carlo Methods for Derivative Security Pricing
Abstract. Monte Carlo (MC) methods have proved to be flexible, robust and very useful techniques in computational finance. Several studies have investigated ways to achieve greater...
Giorgio Pauletto