Inf-convolution, optimal allocations, and model uncertainty for tail risk measures
Year of publication: |
2022
|
---|---|
Authors: | Liu, Fangda ; Mao, Tiantian ; Wang, Ruodu ; Wei, Linxiao |
Published in: |
Mathematics of operations research. - Hanover, Md. : INFORMS, ISSN 1526-5471, ZDB-ID 2004273-5. - Vol. 47.2022, 3, p. 2494-2519
|
Subject: | nonconvex optimization | Pareto optimality | range value at risk | risk sharing | value at risk | Risikomaß | Risk measure | Risiko | Risk | Theorie | Theory | Risikomanagement | Risk management | Pareto-Optimum | Pareto efficiency | Portfolio-Management | Portfolio selection |
-
Modelling extreme risk of the financial index (J580) using the general Pareto distribution
Jakata, Owen, (2019)
-
A note on optimal risk sharing on image spaces
Kromer, Eduard, (2016)
-
Pareto models for risk management
Charpentier, Arthur, (2021)
- More ...
-
Inf-convolution and Optimal Allocations for Tail Risk Measures
Liu, Fangda, (2019)
-
Is the inf-convolution of law-invariant preferences law-invariant?
Liu, Peng, (2020)
-
Is the Inf-convolution of Law-invariant Preferences Law-invariant?
Liu, Peng, (2020)
- More ...