EconPapers    
Economics at your fingertips  
 

Weak Discrete Time Approximation of Stochastic Differential Equations with Time Delay

Uwe Kuchler and Eckhard Platen ()

No 50, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney

Abstract: The paper considers the derivation of weak discrete time approximations for solutions of stochastic differential equations with time delay. These are suitable for Monte Carlo simulation and allow the computation of expectations for functionals of stochastic delay equations. The suggested approximations converge in a weak sense.

Keywords: stochastic differential equations with time delay; discrete time approximation; weak convergence; simulation (search for similar items in EconPapers)
Pages: 15 pages
Date: 2001-03-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published as: Kuchler, U. and Platen, E., 2002, "Weak Discrete Time Approximation of Stochastic Differential Equations with Time Delay", Mathematics and Computers in Simulation, 59(6), 497-507.

Downloads: (external link)
http://www.qfrc.uts.edu.au/research/research_papers/rp50.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.qfrc.uts.edu.au/research/research_papers/rp50.pdf [301 Moved Permanently]--> http://www.uts.edu.au/node/51831 [301 Moved Permanently]--> https://www.uts.edu.au/node/51831)

Related works:
Journal Article: Weak discrete time approximation of stochastic differential equations with time delay (2002) Downloads
Working Paper: Weak discrete time approximation of stochastic differential equations with time delay (2001) Downloads
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:uts:rpaper:50

Access Statistics for this paper

More papers in Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney PO Box 123, Broadway, NSW 2007, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Duncan Ford ().

 
Page updated 2025-04-02
Handle: RePEc:uts:rpaper:50