Case Article—Quantifying Operational Risk in Financial Institutions

INFORMS Transactions on Education

Brian Keller¹  Güzin Bayraksan² 

[1] Booz Allen Hamilton, Annapolis Junction, Maryland 20701;Systems and Industrial Engineering, University of Arizona, Tucson, Arizona 85721

关键词: risk modeling;    teaching statistics;    maximum likelihood estimation;    teaching simulation;   

DOI  :  10.1287/ited.1110.0075ca

学科分类：社会科学、人文和艺术（综合）

来源: INFORMS

【 摘 要 】

Risk management is essential in today's business environment for banks and other financial institutions to survive in highly competitive and volatile markets. As the subprime mortgage debacle of 2008 has shown us, risk management, or the lack thereof, affects more than just the individual institution. Hence, banks and other financial institutions are subject to frequent reviews by federal regulators. The regulatory reviews require that the institutions set aside capital (cash reserves) to offset the potential risk of loss that they face every day. This case study focuses on a large regional bank, for which we use the pseudonym A Bank, and guides students through developing a risk model for operational risk. The students develop their models using maximum likelihood estimation, goodness-of-fit testing, convolution of distributions, and order statistics. The pedagogical objectives of the case study include applying statistics to a real-world problem while establishing connections among statistics, optimizat...

【 授权许可】

CC BY