Journal ArticleDOI
Goodness-of-fit tests for copulas: A review and a power study
TLDR
In this paper, the authors present a critical review of the blanket test procedures and suggest new ones for goodness-of-fit testing of copula models, and describe and interpret the results of a large Monte Carlo experiment designed to assess the effect of the sample size and the strength of dependence on the level and power of blanket tests for various combinations of Copula models under the null hypothesis and the alternative.Abstract:
Many proposals have been made recently for goodness-of-fit testing of copula models. After reviewing them briefly, the authors concentrate on “blanket tests”, i.e., those whose implementation requires neither an arbitrary categorization of the data nor any strategic choice of smoothing parameter, weight function, kernel, window, etc. The authors present a critical review of these procedures and suggest new ones. They describe and interpret the results of a large Monte Carlo experiment designed to assess the effect of the sample size and the strength of dependence on the level and power of the blanket tests for various combinations of copula models under the null hypothesis and the alternative. To circumvent problems in the determination of the limiting distribution of the test statistics under composite null hypotheses, they recommend the use of a double parametric bootstrap procedure, whose implementation is detailed. They conclude with a number of practical recommendations.read more
Citations
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Journal ArticleDOI
Global Financial Crisis, Extreme Interdependences, and Contagion Effects: The Role of Economic Structure?
TL;DR: This article examined the extent of the current global crisis and the contagion effects it induces by conducting an empirical investigation of the extreme financial interdependences of some selected emerging markets with the US.
Journal ArticleDOI
A review of copula models for economic time series
TL;DR: This survey reviews the large and growing literature on copula-based models for economic and financial time series and surveys estimation and inference methods and goodness-of-fit tests for such models, as well as empirical applications of these copulas.
Journal ArticleDOI
Is gold a safe haven or a hedge for the US dollar? Implications for risk management
TL;DR: In this paper, the role of gold as a safe haven or hedge against the US dollar (USD) using copulas to characterize average and extreme market dependence between gold and the USD was assessed.
Journal ArticleDOI
Modeling Multivariate Distributions with Continuous Margins Using the copula R Package
Ivan Kojadinovic,Jun Yan +1 more
TL;DR: The copula-based modeling of multivariate distributions with continuous margins is presented as a succession of rank-based tests: a multivariate test of randomness followed by a test of mutual independence and a series of goodness-of-fit tests.
Book ChapterDOI
Copula-Based Models for Financial Time Series
TL;DR: This paper presents an overview of the literature on applications of copulas in the modelling of financial time series, using copulas to characterize the dependence between a sequence of observations of a scalar time series process.
References
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Book
An Introduction to Copulas
TL;DR: This book discusses the fundamental properties of copulas and some of their primary applications, which include the study of dependence and measures of association, and the construction of families of bivariate distributions.
Book
Empirical processes with applications to statistics
Galen R. Shorack,Jon A. Wellner +1 more
TL;DR: In this paper, a broad cross-section of the literature available on one-dimensional empirical processes is summarized, with emphasis on real random variable processes as well as a wide-ranging selection of applications in statistics.
Journal ArticleDOI
Remarks on a Multivariate Transformation
Journal ArticleDOI
A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
TL;DR: In this article, a related model for association in bivariate survivorship time distributions is proposed for the analysis of familial tendency in disease incidence, which is related to more specifically epidemiological models.