A measure of radial asymmetry for bivariate copulas based on Sobolev norm
Abstract
The modified Sobolev norm is used to construct an index for measuring the degree of radial asymmetry of a copula. We study various aspects of this index and discuss its rank-based estimator. Through simulation and a real data example, we compare the proposed index with the other radial asymmetry measures.
Keywords
References
- Bouzebda, S. and Cher, M. Test of symmetry based on copula function, Journal of Statistical Planning and Inference 142, 1262-1271, 2012.
- Darsow, W. F. and Olsen, E. T. Norms for copulas, International Journal of Mathematics and Mathematical Sciences 18, 417-436, 1995.
- Dehgani, A. Dolati, A., and Úbeda-Flores, M. Measures of radial asymmetry for bivariate random vectors, Statistical Papers 54, 271-286, 2013.
- Denuit, M., Purcaru, O. and Van Keilegom, I. Bivariate Archimedean copula modelling for loss-ALAE data in non-life insurance, Working paper, UCL, 2004.
- Durante, F. and Mesiar, R. L1-measure of non-exchangeability for bivariate extreme value and Archimax copulas, Journal of Mathematical Analysis and Applications 369, 610-615, 2010.
- Fermanian, J. D. and Scaillet, O. Nonparametric estimation of copulas for time series, Journal of Risk 5, 25-54, 2003.
- Fermanian, J. D., Radulovic, D. and Wegkamp, M. Weak convergence of empirical copula processes, Bernoulli 10 (5), 847860, 2004.
- Frees, E. and Valdez, E. Understanding relationships using copulas, North American Actuarial Journal 2, 1-25, 1998.
Details
Primary Language
English
Subjects
Mathematical Sciences
Journal Section
Research Article
Publication Date
June 1, 2018
Submission Date
January 19, 2016
Acceptance Date
July 1, 2016
Published in Issue
Year 2018 Volume: 47 Number: 3