Finance Discipline Group
UTS Business School
University of Technology, Sydney

Working Paper Series

The Structure and Degree of Dependence - A Quantile Regression Approach
Author(s): Dirk G. Baur
Date of publication: August 2012
Working paper number: 170
The copula function defines the degree of dependence and the structure of dependence. This paper proposes an alternative framework to decompose the dependence using quantile regression. It is demonstrated that the methodology provides a detailed picture of dependence including asymmetric and non-linear relationships. In addition, changes in the degree or structure of dependence can be modelled and tested for each quantile of the distribution. The empirical part applies the framework to three different sets of financial time-series and demonstrates substantial differences in dependence patterns among asset classes and through time. The analysis of 54 global equity markets shows that detailed information about the structure of dependence is crucial to adequately assess the benefits of diversification in normal times and crisis times.
Paper: Download (Format: PDF, Size: 1.3 Mb)
Comments: Published as: Baur, D. G., 2013, "The Structure and Degree of Dependence - A Quantile Regression Approach", Journal of Banking and Finance, 37(3), 786-798.
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