Using Bayesian networks to model the operational risk to information technology infrastructure in financial institutions
This paper describes the use of Bayesian networks (BNs) to model the operational risk to information technology (IT) infrastructure in financial and other institutions. We describe a methodology for modeling financial losses that might result from operational risk scenarios involving data centers and operational locations, applications and systems, processes, and ultimately IT supported customer-facing services. We focus on modeling the causes and effects of unexpected loss events using a Bayesian network model of the IT infrastructure combined with assessments of the severity of impact of these events in terms of the Value at Risk (VaR) for the organization. We use a state-of-the-art Bayesian network tool to simulate an example analysis of the model. The work also illustrates how ideas commonly used to measure risk in other industries, especially the Aviation and Nuclear sectors, readily translate to operational risk in finance.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): 22 (2008)
Issue (Month): ()
|Contact details of provider:|| Postal: 77 Water Street, 10th Floor, New York NY 10005|
Phone: +1 212 284 8600
Web page: http://www.capco.com/
When requesting a correction, please mention this item's handle: RePEc:ris:jofitr:0929. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Prof. Shahin Shojai)
If references are entirely missing, you can add them using this form.