A theory of the risk for empirical CVaR with application to portfolio selection
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Publication:2070025
DOI10.1007/s11424-021-1229-3zbMath1480.91261OpenAlexW3208445394MaRDI QIDQ2070025
Giorgio Arici, Algo Carè, Marco C. Campi, Marco Dalai, Federico Alessandro Ramponi
Publication date: 21 January 2022
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-021-1229-3
Cites Work
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- A robust-CVaR optimization approach with application to breast cancer therapy
- A sampling-and-discarding approach to chance-constrained optimization: feasibility and Optimality
- Wait-and-judge scenario optimization
- Expected shortfall: heuristics and certificates
- Uncertain convex programs: randomized solutions and confidence levels
- On a class of interval predictor models with universal reliability
- The wait-and-judge scenario approach applied to antenna array design
- Conditional value at risk and related linear programming models for portfolio optimization
- Coherent Measures of Risk
- The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
- Scenario Min-Max Optimization and the Risk of Empirical Costs
- Order Statistics
- Consistency of the Scenario Approach
- A Coverage Theory for Least Squares
- The Scenario Approach to Robust Control Design
- AN OLD‐NEW CONCEPT OF CONVEX RISK MEASURES: THE OPTIMIZED CERTAINTY EQUIVALENT
- Conditional value‐at‐risk beyond finance: a survey