DocumentCode
3302976
Title
Using Bayesian Networks to Model Operational Risk of Bank
Author
Liu, Jia-peng ; Liu, Rui
Author_Institution
Sch. of Public Policy & Manage., Tsinghua Univ., Beijing, China
fYear
2011
fDate
19-21 May 2011
Firstpage
1
Lastpage
4
Abstract
Operational risk is the risk of loss resulting from inadequate or failed internal processes, people and systems or from external events. It is difficult to model and measure operational risk of bank. The Bayesian network has a great deal of advantage in Modeling and measuring Operational Risk, which is induced by uncertain elements in a complicated system. After review operational risk of bank and Bayesian networks, this paper illustrates how to use Bayesian networks to manage operational risk by examples, include measure risk, casual analysis, and scenario Analysis etc. This paper also gives a Bayesian network model framework of operational risk.
Keywords
banking; belief networks; risk management; Bayesian networks; bank operational risk modelling; casual analysis; operational risk management; scenario analysis; Analytical models; Banking; Bayesian methods; Business; Cognition; Joints; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Management (CAMAN), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9282-4
Type
conf
DOI
10.1109/CAMAN.2011.5778828
Filename
5778828
Link To Document