Archimedean copulas with applications to VaR estimation
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Publication:2013643
DOI10.1007/s10260-015-0326-7zbMath1373.60029OpenAlexW815534663WikidataQ59472300 ScholiaQ59472300MaRDI QIDQ2013643
Publication date: 8 August 2017
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-015-0326-7
Characterization and structure theory for multivariate probability distributions; copulas (62H05) Order statistics; empirical distribution functions (62G30) Probability distributions: general theory (60E05)
Cites Work
- The AEP algorithm for the fast computation of the distribution of the sum of dependent random variables
- An introduction to copulas. Properties and applications
- Diversification of aggregate dependent risks
- Bounds on the value-at-risk for the sum of possibly dependent risks
- On the Tail Behavior of Sums of Dependent Risks
- Limit theory for multivariate sample extremes
- Order Statistics
- Asymptotic Value-at-Risk Estimates for Sums of Dependent Random Variables
- Families of Multivariate Distributions
- Analysis of the Expected Shortfall of Aggregate Dependent Risks
- Understanding Relationships Using Copulas
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