Spectral risk measures: the risk quadrangle and optimal approximation
From MaRDI portal
Publication:1739050
DOI10.1007/s10107-018-1267-3zbMath1470.91332OpenAlexW2803669158WikidataQ129778914 ScholiaQ129778914MaRDI QIDQ1739050
Publication date: 24 April 2019
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://www.osti.gov/biblio/1441457
Applications of statistics to economics (62P20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70) Risk models (general) (91B05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- CVaR (superquantile) norm: stochastic case
- Random variables, monotone relations, and convex analysis
- Superquantile/CVaR risk measures: second-order theory
- Superquantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk
- Coherent Measures of Risk
- Risk Averse Shape Optimization
- Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization
- Optimum Sequential Search and Approximation Methods Under Minimum Regularity Assumptions
- Variational Analysis in Sobolev andBVSpaces
- Quadrature Formulas for Monotone Functions
- Numerical Quadrature in the Presence of a Singularity
- Measures of Residual Risk with Connections to Regression, Risk Tracking, Surrogate Models, and Ambiguity
- Ignoring the Singularity in Approximate Integration
- Gaussian Integration in the Presence of a Singularity
- Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk
- Stochastic finance. An introduction in discrete time
This page was built for publication: Spectral risk measures: the risk quadrangle and optimal approximation