Use of distributed computing in derivative pricing
by Juho Kanniainen, Robert Piche, Tommi Mikkonen
International Journal of Electronic Finance (IJEF), Vol. 3, No. 3, 2009

Abstract: This paper compares two distributed computing environments when used to price financial contingent claims with Monte Carlo methods: a PC grid and a scientific computing Linux cluster. The paper also investigates the performances for different distributing strategies. On the basis of our experiments, a PC grid can be considered competitive with a scientific computing cluster. Both the cluster and the PC grid achieved nearly linear speed-up. We also find that it is optimal to set the number of jobs to twice the number of cores. Finally, we discuss the use of distributed computing in other fields of electronic finance.

Online publication date: Thu, 13-Aug-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Finance (IJEF):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com