Bivariate copula decomposition in terms of comonotonicity, countermonotonicity and indepen\-dence
DOI10.1016/j.insmatheco.2006.02.015zbMath1098.62070OpenAlexW2002701689MaRDI QIDQ849598
Lihong Zhang, Jing-Ping Yang, Shi Hong Cheng
Publication date: 31 October 2006
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.insmatheco.2006.02.015
Applications of statistics to actuarial sciences and financial mathematics (62P05) Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Nonparametric inference (62G99)
Related Items (10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On nonparametric measures of dependence for random variables
- An introduction to copulas. Properties and applications
- Non-additive measure and integral
- Axiomatic characterization of insurance prices
- The concept of comonotonicity in actuarial science and finance: theory.
- The concept of comonotonicity in actuarial science and finance: applications.
- Entropy densities with an application to autoregressive conditional skewness and kurtosis.
- Diversification of aggregate dependent risks
- Integral Representation Without Additivity
- Modelling sample selection using Archimedean copulas
- The Dual Theory of Choice under Risk
- Stochastic Comparison of Random Vectors with a Common Copula
This page was built for publication: Bivariate copula decomposition in terms of comonotonicity, countermonotonicity and indepen\-dence