Non-Parametric Estimation of Copula Parameters: Testing for Time-Varying Correlation

Journal article


Gong, J., Wu, W., McMillan. D and Shi, D. (2014). Non-Parametric Estimation of Copula Parameters: Testing for Time-Varying Correlation. Studies in Nonlinear Dynamics & Econometrics. 19 (1), pp. 93-106. https://doi.org/10.1515/snde-2012-0089
AuthorsGong, J., Wu, W., McMillan. D and Shi, D.
Abstract

The correlation structure of financial assets is a key input with regard to portfolio and risk management. In this paper, we propose a non-parametric estimation method for the time-varying copula parameter. This is achieved in two steps: first, displaying the marginal distributions of financial asset returns by applying the empirical distribution function; second, by implementing the local likelihood method to estimate the copula parameters. The method for obtaining the optimal bandwidth through a maximum pseudo likelihood function and a statistical test on whether the copula parameter is time-varying are also introduced. A simulation study is conducted to show that our method is superior to its contender. Finally, we verify the proposed estimation methodology and time-varying statistical test by analysing the dynamic linkages between the Shanghai, Shenzhen and Hong Kong stock markets.

Keywords dynamic dependence; kernel estimate; local likelihood estimation; stock returns; time-varying copula
Year2014
JournalStudies in Nonlinear Dynamics & Econometrics
Journal citation19 (1), pp. 93-106
PublisherDe Gruyter
ISSN1558-3708
Digital Object Identifier (DOI)https://doi.org/10.1515/snde-2012-0089
Web address (URL)https://www.degruyter.com/document/doi/10.1515/snde-2012-0089/html?lang=en
Publication dates
Print30 May 2014, 00:00
Publication process dates
Deposited22 Feb 2024
Accepted author manuscript
License
File Access Level
Open
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