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基于贝叶斯网络的商业银行操作风险研究

马金焱 高齐圣 王俊花

青岛大学学报(自然科学版)2017,Vol.30Issue(4):103-108,6.
青岛大学学报(自然科学版)2017,Vol.30Issue(4):103-108,6.DOI:10.3969/j.issn.1006-1037.2017.11.20

基于贝叶斯网络的商业银行操作风险研究

Research on Operational Risk of Commercial Banks Based on Bayesian Network

马金焱 1高齐圣 1王俊花1

作者信息

  • 1. 青岛大学经济学院,青岛266071
  • 折叠

摘要

Abstract

The Bayesian network model is used to study the operational risk of commercial banks on the basis of Bayesian network causal inference theory,which is very difficult to quantify the operational risk of low frequency and high loss type.The Bayesian network model of commercial banks has been obtained.The accumulation of historical data and the maturity of the modeling technology make the posterior distribution of the bank using the Bayesian network will continue to be close to reality.Bayesian network reasoning to estimate and forecast risk management can be used by commercial banks.

关键词

操作风险/贝叶斯网络/因果建模

Key words

operational risk/Bayesian network/causal modeling

分类

管理科学

引用本文复制引用

马金焱,高齐圣,王俊花..基于贝叶斯网络的商业银行操作风险研究[J].青岛大学学报(自然科学版),2017,30(4):103-108,6.

基金项目

山东省自然科学基金(批准号:ZR2016GP03)资助. (批准号:ZR2016GP03)

青岛大学学报(自然科学版)

1006-1037

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