A nonlinear analysis of operational risk events in Australian banks
© 2017 Incisive Risk Information (IP) Limited. We propose a methodology applied to complex systems to analyze operational risk events in banks, with the objective of determining an understanding of the key characteristics and their relationships in initiating operational risk losses. We applied our...
| Main Authors: | , , |
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| Format: | Journal Article |
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Incisive Media
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/62426 |
| _version_ | 1848760849138712576 |
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| author | Li, Y. Allan, N. Evans, John |
| author_facet | Li, Y. Allan, N. Evans, John |
| author_sort | Li, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2017 Incisive Risk Information (IP) Limited. We propose a methodology applied to complex systems to analyze operational risk events in banks, with the objective of determining an understanding of the key characteristics and their relationships in initiating operational risk losses. We applied our methodology to operational risk losses in Australian banks over the period 2010–14. The analysis identified that there are a small number of characteristics that are common to many operational risk events, and these “level 1” characteristics are stable across time, which implies operational risk losses could be controlled by managing these characteristics. The methodology adds value to the existing analysis by identifying the main characteristics of operational risk events in a rigorous manner. |
| first_indexed | 2025-11-14T10:22:18Z |
| format | Journal Article |
| id | curtin-20.500.11937-62426 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:22:18Z |
| publishDate | 2017 |
| publisher | Incisive Media |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-624262018-02-01T05:58:33Z A nonlinear analysis of operational risk events in Australian banks Li, Y. Allan, N. Evans, John © 2017 Incisive Risk Information (IP) Limited. We propose a methodology applied to complex systems to analyze operational risk events in banks, with the objective of determining an understanding of the key characteristics and their relationships in initiating operational risk losses. We applied our methodology to operational risk losses in Australian banks over the period 2010–14. The analysis identified that there are a small number of characteristics that are common to many operational risk events, and these “level 1” characteristics are stable across time, which implies operational risk losses could be controlled by managing these characteristics. The methodology adds value to the existing analysis by identifying the main characteristics of operational risk events in a rigorous manner. 2017 Journal Article http://hdl.handle.net/20.500.11937/62426 10.21314/JOP.2017.185 Incisive Media restricted |
| spellingShingle | Li, Y. Allan, N. Evans, John A nonlinear analysis of operational risk events in Australian banks |
| title | A nonlinear analysis of operational risk events in Australian banks |
| title_full | A nonlinear analysis of operational risk events in Australian banks |
| title_fullStr | A nonlinear analysis of operational risk events in Australian banks |
| title_full_unstemmed | A nonlinear analysis of operational risk events in Australian banks |
| title_short | A nonlinear analysis of operational risk events in Australian banks |
| title_sort | nonlinear analysis of operational risk events in australian banks |
| url | http://hdl.handle.net/20.500.11937/62426 |