Modeling the Dependence of Losses of a Financial Portfolio Using Nested Archimedean Copulas
| dc.contributor.author | Yameogo, Wendkouni | |
| dc.contributor.author | Barro, Diakarya | |
| dc.date.accessioned | 2023-05-20T21:08:48Z | |
| dc.date.available | 2023-05-20T21:08:48Z | |
| dc.date.issued | 2021-07-15 | |
| dc.description | International Journal of Mathematics and Mathematical Sciences, 2021, 1-14. | en_US |
| dc.description.abstract | In financial analysis, stochastic models are more and more used to estimate potential outcomes in a risky framework. +is paper proposes an approach of modeling the dependence of losses on securities, and the potential loss of the portfolio is divided into sectors each including two subsectors. +e Weibull model is used to describe the stochastic behavior of the default time while a nested class of Archimedean copulas at three levels is used to model the maximum of the value at risk of the portfolio. | en_US |
| dc.description.sponsorship | ACE Impact: Centre for Studies, Training and Research in Social Risk Management, CEFORGRIS | en_US |
| dc.identifier.citation | Yaméogo, W., & Barro, D. (2021). Modeling the dependence of losses of a financial portfolio using nested archimedean copulas. International Journal of Mathematics and Mathematical Sciences, 2021, 1-14. | en_US |
| dc.identifier.uri | https://doi.org/10.1155/2021/4651044 | |
| dc.identifier.uri | https://datad.aau.org/handle/123456789/1838 | |
| dc.language.iso | en | en_US |
| dc.publisher | Hindawi | en_US |
| dc.subject | Université Joseph Ki-Zerbo | en_US |
| dc.subject | Burkina-Faso | en_US |
| dc.subject | CEFORGRIS | en_US |
| dc.title | Modeling the Dependence of Losses of a Financial Portfolio Using Nested Archimedean Copulas | en_US |
| dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Modeling the Dependence of Losses of a Financial Portfolio.pdf
- Size:
- 459.75 KB
- Format:
- Adobe Portable Document Format
- Description:
- Main article
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: