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 :
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