Abstract
The Esscher premium principle provides an important framework for allocating a certain loaded premium for some claim (risk) in order to manage the risks of insurance companies. In this paper, we show how to model the celebrated Esscher premium principle for a system of elliptically distributed dependent risks, where each risk is greater or equal than its value-at-risk. Furthermore, we present calculations of the proposed multivariate risk measure, investigate its properties and formulas, and show how special elliptical models can be implemented in the theory.
| Original language | English |
|---|---|
| Title of host publication | ICORES 2019 - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems |
| Editors | Greg H. Parlier, Federico Liberatore, Marc Demange |
| Publisher | Science and Technology Publications, Lda |
| Pages | 102-110 |
| Number of pages | 9 |
| ISBN (Print) | 9789897583520 |
| DOIs | |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 8th International Conference on Operations Research and Enterprise Systems , ICORES 2019 - Prague, Czech Republic Duration: 19 Feb 2019 → 21 Feb 2019 |
Publication series
| Name | International Conference on Operations Research and Enterprise Systems |
|---|---|
| ISSN (Electronic) | 2184-4372 |
Conference
| Conference | 8th International Conference on Operations Research and Enterprise Systems , ICORES 2019 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 19/02/19 → 21/02/19 |
Bibliographical note
Publisher Copyright:© 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
Keywords
- Esscher Premium
- Extreme Risks
- Multivariate Risk Measures
- Premium Principles
- Tail Value at Risk
- Value-at-Risk
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Management Science and Operations Research
- Control and Optimization
- Theoretical Computer Science
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