In this article, I identify challenges to the loss distribution approach in modeling operational risk. I propose a scenario-based methodology for operational risk assessment, which recognizes that each risk can occur under a number of wide-ranging scenarios and that association between risks may behave differently for different scenarios. The model that is developed internally in the company provides a practical quantitative assessment of risk exposure that reflects a deep understanding of the company and its environment, making the risk calculation more responsive to the actual state, ensuring that the company is attending to its key operational risks. In this model qualitative and quantitative approaches are combined to build a loss distribution for individual and aggregate operational risk exposure. The model helps to portray the company's internal control systems and aspects of business environment. These features can help the company increase its operational efficiency, reduce loss from undesirable incidents, and maintain the integrity of internal control.
机构:
China Inst Water Resources & Hydropower Res, Beijing, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Beijing, Peoples R China
Jiang, Yunzhong
Zhang, Rui
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机构:
Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Sichuan, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Beijing, Peoples R China
Zhang, Rui
Wang, Bende
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机构:
Dalian Univ Technol, Sch Civil & Hydraul Engn, Dept Water Resources & Flood Control, Dalian, Liaoning, Peoples R ChinaChina Inst Water Resources & Hydropower Res, Beijing, Peoples R China
机构:
Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NL, Canada
Natl Res Council Canada, Ocean Coastal & River Engn Res Ctr, St John, NL, CanadaAalto Univ, Dept Mech Engn, FI-00076 Espoo, Finland
机构:
CSIRO, Div Math & Informat Sci, Gate 5,Normanby Rd, Clayton, Vic 3169, AustraliaCSIRO, Div Math & Informat Sci, Gate 5,Normanby Rd, Clayton, Vic 3169, Australia
Zhu, Zili
Graham, Paul
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CSIRO, Div Energy Technol, 10 Murray Dwyer Circuit,Steel River Estate, Mayfield West, NSW 2304, AustraliaCSIRO, Div Math & Informat Sci, Gate 5,Normanby Rd, Clayton, Vic 3169, Australia
Graham, Paul
Reedman, Luke
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CSIRO, Div Energy Technol, 10 Murray Dwyer Circuit,Steel River Estate, Mayfield West, NSW 2304, AustraliaCSIRO, Div Math & Informat Sci, Gate 5,Normanby Rd, Clayton, Vic 3169, Australia
Reedman, Luke
Lo, Thomas
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CSIRO, Div Math & Informat Sci, Bldg E6B,Macquarie Univ Campus, N Ryde, NSW 2113, AustraliaCSIRO, Div Math & Informat Sci, Gate 5,Normanby Rd, Clayton, Vic 3169, Australia