Operational Risk Modeling is a quantitative methodology within risk modeling that specifically characterizes, measures, and forecasts the likelihood and impact of operational losses arising from inadequate or failed internal processes, people, systems, or external events.
153
Publications
6.3K
Citations
326
Authors
152
Institutions
Publications per year
2017–2026
27
Publications
153
Role of Analytics for Operational Risk Management in the Era of Big Data
Özgür M. Araz, Tsan‐Ming Choi, David L. Olson et al. · Decision Sciences · 2020 · 190 citations
1–5 of 153
Authors
326
- PE
8
h-index
- FK
6
h-index
- PG
6
h-index
- JG
5
h-index
- JP
5
h-index
1–5 of 326
Institutions
152
ETH Zurich
Zurich, Switzerland
6 h-index
10 publications
1.1K citations
Memorial University of Newfoundland
St. John's, Canada
6 h-index
16 publications
728 citations
University of Pavia
Pavia, Italy
5 h-index
10 publications
540 citations
City, University of London
London, United Kingdom
4 h-index
6 publications
248 citations
Federal Reserve Bank of Boston
Boston, United States
4 h-index
10 publications
1.1K citations
University of Stavanger
Stavanger, Norway
4 h-index
10 publications
724 citations
De Montfort University
Leicester, United Kingdom
4 h-index
9 publications
177 citations
EIA University
Envigado, Colombia
4 h-index
12 publications
243 citations
1–8 of 152
Venues
- The Journal of Operational Risk
24 publications · 816 citations
16
h-index
- SSRN Electronic Journal
Repository · 15 publications · 640 citations
12
h-index
- RePEc: Research Papers in Economics
Repository · 5 publications · 229 citations
5
h-index
- Journal of Banking & Finance
4 publications · 451 citations
4
h-index
- Journal of Loss Prevention in the Process Industries
4 publications · 300 citations
4
h-index
1–5