Value-at-risk Optimization
Value-At-Risk Optimization is a stochastic optimization framework that belongs to the class of risk-averse decision-making models, specifically distinguished by its objective to minimize the maximum loss exposure at a given confidence level under probabilistic uncertainty.
190
Publications
23.9K
Citations
407
Authors
252
Institutions
Publications per year
2017–2026
62
Variants
Var Optimization
Parents
190
Optimization of conditional value-at-risk
R. T. Rockafellar, Stan Uryasev · The Journal of Risk · 2000 · 6.5K citations
Business, Finance, Risk Management +17
Conditional value-at-risk for general loss distributions
R. T. Rockafellar, Stan Uryasev · Journal of Banking & Finance · 2002 · 3.7K citations
Business, Finance, Risk Management +14
Convex measures of risk and trading constraints
Hans Föllmer, Alexander Schied · Finance and Stochastics · 2002 · 1.5K citations
1–5 of 190
407
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252
University of Florida
Gainesville, United States
10 h-index
13 publications
7.6K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
6 h-index
7 publications
288 citations
New York University
New York, United States
5 h-index
7 publications
1.2K citations

City University of Hong Kong
Hong Kong, Hong Kong
5 h-index
6 publications
398 citations
National University of Singapore
Singapore, Singapore
5 h-index
11 publications
619 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
4 publications
510 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
5 publications
190 citations

University of Minnesota
Minneapolis, United States
4 h-index
4 publications
260 citations
1–8 of 252
Repository · 14 publications · 1.1K citations
12
h-index
9 publications · 532 citations
9
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Repository · 9 publications · 354 citations
9
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7 publications · 1.1K citations
7
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7 publications · 386 citations
7
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1–5