Risk measures in the form of infimal convolution
From MaRDI portal
Publication:2043964
DOI10.1007/s10559-021-00327-zzbMath1470.91331OpenAlexW3128522869MaRDI QIDQ2043964
Publication date: 4 August 2021
Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10559-021-00327-z
subdifferentialexpected utilityconvex risk measureconditional value-at-riskcoherent risk measuredual representationinfimal convolutiondeterministic equivalent
Related Items (1)
Cites Work
- Unnamed Item
- Certainty equivalent measures of risk
- Weighted V\@R and its properties
- Expected utility theory, optimal portfolios, and polyhedral coherent risk measures
- Mathematical modeling of distributed catastrophic and terrorist risks
- Convex measures of risk and trading constraints
- Optimal expected utility risk measures
- Polyhedral coherent risk measures and robust optimization
- Polyhedral coherent risk measures and optimal portfolios on the reward-risk ratio
- Coherent Measures of Risk
- Expected Utility, Penalty Functions, and Duality in Stochastic Nonlinear Programming
- Lectures on Stochastic Programming
- Risk Aversion in the Small and in the Large
- Higher moment coherent risk measures
- AN OLD‐NEW CONCEPT OF CONVEX RISK MEASURES: THE OPTIMIZED CERTAINTY EQUIVALENT
- Stochastic finance. An introduction in discrete time
This page was built for publication: Risk measures in the form of infimal convolution