Computational dynamic market risk measures in discrete time setting
by Babacar Seck; Robert J. Elliott; Jean-Pierre Gueyie
International Journal of Financial Engineering and Risk Management (IJFERM), Vol. 1, No. 4, 2014

Abstract: Different approaches to defining dynamic market risk measures are available in the literature. Most are focused or derived from probability theory, economic behaviour or dynamic programming. Here, we propose an approach to define and implement dynamic market risk measures based on recursion and state economy representation. The proposed approach is to be implementable and to inherit properties from static market risk measures.

Online publication date: Thu, 30-Apr-2015

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 Financial Engineering and Risk Management (IJFERM):
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