Haier, Andreas; Molchanov, Ilya (2019). Multivariate risk measures in the non-convex setting. Statistics & risk modeling, 36(1-4), pp. 25-35. de Gruyter 10.1515/strm-2019-0002
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[Statistics amp Risk Modeling] Multivariate risk measures in the non-convex setting.pdf - Published Version Available under License Publisher holds Copyright. Download (942kB) | Preview |
The family of admissible positions in a transaction costs model is a random closed set, which is convex in case of proportional transaction costs. However, the convexity fails, e.g., in case of fixed transaction costs or when only a finite number of transfers are possible. The paper presents an approach to measure risks of such positions based on the idea of considering all selections of the portfolio and checking if one of them is acceptable. Properties and basic examples of risk measures of non-convex portfolios are presented.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science |
UniBE Contributor: |
Molchanov, Ilya |
Subjects: |
300 Social sciences, sociology & anthropology > 360 Social problems & social services 500 Science > 510 Mathematics |
ISSN: |
2193-1402 |
Publisher: |
de Gruyter |
Language: |
English |
Submitter: |
Ilya Molchanov |
Date Deposited: |
14 Jan 2020 09:28 |
Last Modified: |
05 Dec 2022 15:35 |
Publisher DOI: |
10.1515/strm-2019-0002 |
BORIS DOI: |
10.7892/boris.138557 |
URI: |
https://boris.unibe.ch/id/eprint/138557 |
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