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This paper presents a new axiomatic characterization of risk measures that are additive for independent random variables. In contrast to previous work, we include an axiom that guarantees monotonicity of the risk measure. Furthermore, the axiom of additivity for independent random variables is...
Persistent link: https://www.econbiz.de/10010325273
We present an axiomatic characterization of price measures that are superadditive and comonotonic additive for normally distributed random variables. The price representation derived involves a probability measure transform that is closely related to the Esscher transform, and we call it the...
Persistent link: https://www.econbiz.de/10005374857
Persistent link: https://www.econbiz.de/10005374866
Persistent link: https://www.econbiz.de/10005375076
This paper presents a new axiomatic characterization of risk measures that are additive for independent random variables. In contrast to previous work, we include an axiom that guarantees monotonicity of the risk measure. Furthermore, the axiom of additivity for independent random variables is...
Persistent link: https://www.econbiz.de/10005450808
Persistent link: https://www.econbiz.de/10004973645
This paper presents a new axiomatic characterization of risk measures that are additive for independent random variables. In contrast to previous work, we include an axiom that guarantees monotonicity of the risk measure. Furthermore, the axiom of additivity for independent random variables is...
Persistent link: https://www.econbiz.de/10011256720
Persistent link: https://www.econbiz.de/10006874807
Persistent link: https://www.econbiz.de/10006879174
This paper studies the problem of finding best-possible upper bounds on a rich class of risk measures, expressible as integrals with respect to measures, under incomplete probabilistic information. Both univariate and multivariate risk measurement problems are considered. The extremal...
Persistent link: https://www.econbiz.de/10010572710