Robust Risk Modeling
Robust Risk Modeling is a risk modeling approach that belongs to the class of quantitative frameworks designed for uncertainty assessment, distinguished by its ability to maintain stability, reliability, and predictive accuracy under varying assumptions, data perturbations, model misspecifications, and extreme or rare events.
67
Publications
3K
Citations
201
Authors
133
Institutions
Publications per year
2017–2026
22
Parents
67
Robust risk measurement and model risk
Paul Glasserman, Xingbo Xu · Quantitative Finance · 2013 · 217 citations
Management, Finance, Risk Management +17
External Risk Measures and Basel Accords
Steven Kou, Xianhua Peng, C. C. Heyde · Mathematics of Operations Research · 2013 · 169 citations
Business, Finance, Risk Management +17
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133
Columbia University
New York, United States
4 h-index
8 publications
992 citations

University of Duisburg-Essen
Essen, Germany
3 h-index
7 publications
312 citations
ETH Zurich
Zurich, Switzerland
2 h-index
2 publications
35 citations
Technical University of Munich
Munich, Germany
2 h-index
2 publications
95 citations

University of Waterloo
Waterloo, Canada
2 h-index
4 publications
209 citations

Saarland University
Saarbrücken, Germany
2 h-index
2 publications
201 citations

Keio University
Tokyo, Japan
2 h-index
2 publications
79 citations
Swiss Finance Institute
Zurich, Switzerland
2 h-index
4 publications
126 citations
1–8 of 133
Repository · 5 publications · 109 citations
5
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4 publications · 334 citations
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3 publications · 279 citations
3
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2 publications · 252 citations
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2 publications · 61 citations
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