Monte Carlo Computation of the Laplace Transform of Exponential Brownian Functionals
Nicolas Privault and
Wayne Isaac Uy ()
Additional contact information
Wayne Isaac Uy: Nanyang Technological University
Methodology and Computing in Applied Probability, 2013, vol. 15, issue 3, 511-524
Abstract:
Abstract This paper is concerned with the Monte Carlo numerical computation of the Laplace transform of exponential Brownian functionals. In addition to the implementation of standard integral formulas, we investigate the use of various probabilistic representations. This involves in particular the simulation of the hyperbolic secant distribution and the use of several variance reduction schemes. The performance of those methods and their conditions of application are compared.
Keywords: Exponential Brownian functionals; Monte Carlo method; Generalized hyperbolic secant distribution; 65C05; 33C10; 60J60; 65C10; 35Q40 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11009-011-9261-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metcap:v:15:y:2013:i:3:d:10.1007_s11009-011-9261-8
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-011-9261-8
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().