| STOCHASTIC PROCESSES AND THEIR APPLICATIONS | 卷:126 |
| Risk-consistent conditional systemic risk measures | |
| Article | |
| Hoffmann, Hannes1  Meyer-Brandis, Thilo1  Svindland, Gregor1  | |
| [1] Univ Munich, Dept Math, Theresienstr 39, D-80333 Munich, Germany | |
| 关键词: Conditional systemic risk measure; Conditional aggregation; Risk-consistent properties; Conditional value at risk; Conditional expected short fall; | |
| DOI : 10.1016/j.spa.2016.01.002 | |
| 来源: Elsevier | |
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【 摘 要 】
We axiomatically introduce risk-consistent conditional systemic risk measures defined on multidimensional risks. This class consists of those conditional systemic risk measures which can be decomposed into a state-wise conditional aggregation and a univariate conditional risk measure. Our studies extend known results for unconditional risk measures on finite state spaces. We argue in favor of a conditional framework on general probability spaces for assessing systemic risk. Mathematically, the problem reduces to selecting a realization of a random field with suitable properties. Moreover, our approach covers many prominent examples of systemic risk measures from the literature and used in practice. (C) 2016 Elsevier B.V. All rights reserved.
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_spa_2016_01_002.pdf | 494KB |
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