• 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