Modelling total tail dependence along diagonals
From MaRDI portal
Publication:939329
DOI10.1016/j.insmatheco.2007.01.002zbMath1142.62097OpenAlexW2107185495MaRDI QIDQ939329
Publication date: 22 August 2008
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.insmatheco.2007.01.002
Applications of statistics to economics (62P20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Measures of association (correlation, canonical correlation, etc.) (62H20) Statistics of extreme values; tail inference (62G32)
Related Items (19)
Unnamed Item ⋮ Construction of asymmetric copulas and its application in two-dimensional reliability modelling ⋮ The general tail dependence function in the Marshall-Olkin and other parametric copula models with an application to financial time series ⋮ An investigation on the relationship between return and trading volume: asymmetric V-type or asymmetric increasing-type pattern ⋮ Tail dependence of the Gaussian copula revisited ⋮ Multiple risk factor dependence structures: copulas and related properties ⋮ Structural change in the link between oil and the European stock market: implications for risk management ⋮ Multivariate extremes and the aggregation of dependent risks: examples and counter-examples ⋮ Zero-linear copulas ⋮ Unnamed Item ⋮ Constructing Copulas with Given Diagonal and Opposite Diagonal Sections ⋮ Multivariate patchwork copulas: a unified approach with applications to partial comonotonicity ⋮ Transformation of a copula using the associated co-copula ⋮ On copulas and their diagonals ⋮ Counterdiagonal/nonpositive tail dependence in vine copula constructions: application to portfolio management ⋮ OPPOSITE DIAGONAL SECTIONS OF QUASI-COPULAS AND COPULAS ⋮ Rectangular Patchwork for Bivariate Copulas and Tail Dependence ⋮ Absolutely Continuous Copulas with Given Diagonal Sections ⋮ Nonparametric estimation of general multivariate tail dependence and applications to financial time series
Uses Software
Cites Work
- Bivariate extreme statistics. I
- An introduction to copulas. Properties and applications
- Using copulae to bound the value-at-risk for functions of dependent risks
- Diversification of aggregate dependent risks
- Estimating the tail-dependence coefficient: properties and pitfalls
- An approach to VaR for capital markets with Gaussian mixture
- Dependence measures for extreme value analyses
- A directory of coefficients of tail dependence
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Modelling total tail dependence along diagonals