Bibliographic Details
| Title: |
Asymptotic properties of conditional value-at-risk estimate for asymptotic negatively associated samples |
| Authors: |
Rong Jin, Xufei Tang, Kan Chen |
| Source: |
Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-15 (2024) |
| Publisher Information: |
SpringerOpen, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Mathematics |
| Subject Terms: |
Asymptotic negatively associated random variables, Conditional value-at-risk estimate, Strong consistency, Auto-regressive moving average model, Stock data, Mathematics, QA1-939 |
| More Details: |
Abstract This article examines the strong consistency of the conditional value-at-risk (CVaR) estimate for asymptotic negatively associated (ANA or ρ − $\rho ^{-}$ , for short) random samples under mild conditions. It is demonstrated that the optimal rate can achieve nearly O ( n − 1 / 2 ) $O (n^{-1/2})$ under certain appropriate conditions. Furthermore, we present numerical simulations and a real data example to corroborate our theoretical results based on finite samples. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1029-242X |
| Relation: |
https://doaj.org/toc/1029-242X |
| DOI: |
10.1186/s13660-024-03191-5 |
| Access URL: |
https://doaj.org/article/02af1792a8ff43498f6eec8f93cf89a7 |
| Accession Number: |
edsdoj.02af1792a8ff43498f6eec8f93cf89a7 |
| Database: |
Directory of Open Access Journals |
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