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The Copula-GARCH Model of Conditional Dependencies: An International Stock Market Application
Company: Journal of International Money and Finance
Company Url: Click here to open
Year Of Publication: 2006
Month Of Publication: August
Resource Link: Click here to open
Pages: 827-853
Download Count: 0
View Count: 1370
Comment Num: 0
Language: English
Source: article
Who Can Read: Free
Date: 4-6-2012
Publisher: Administrator
Summary
Modeling the dependency between stock market returns is a difficult task when returns follow a complicated dynamics. When returns are non-normal, it is often simply impossible to specify the multivariate distribution relating two or more return series. In this context, we propose a new methodology based on copula functions, which consists in estimating ?rst the univariate distributions and then the joining distribution. In such a context, the dependency parameter can easily be rendered conditional and time varying. We apply this methodology to the daily returns of four major stock markets. Our results suggest that conditional dependency depends on past realizations for European market pairs only. For these markets, dependency is found to be more widely affected when returns move in the same direction than when they move in opposite directions. Modeling the dynamics of the dependency parameter also suggests that dependency is higher and more persistent between European stock markets.
(volume 25, number 5)
Author(s)
Rockinger, Michael Sign in to follow this author
Jondeau, Eric Sign in to follow this author
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