Dynamic copula quantile regressions and tail area dynamic dependence in Forex markets
Bouyé, Eric and Salmon, Mark. (2009) Dynamic copula quantile regressions and tail area dynamic dependence in Forex markets. European Journal of Finance, Vol.15 (No.7-8). pp. 721-750. ISSN 1351-847XFull text not available from this repository.
Official URL: http://dx.doi.org/10.1080/13518470902853491
We introduce a general approach to nonlinear quantile regression modelling based on the copula function that defines the dependency structure between the variables of interest. Hence, we extend Koenker and Bassett's (1978. Regression quantiles. Econometrica, 46, no. 1: 33–50.) original statement of the quantile regression problem by determining a distribution for the dependent variable Y conditional on the regressors X, and hence the specification of the quantile regression functions. The approach exploits the fact that the joint distribution function can be split into two parts: the marginals and the dependence function (or copula). We then deduce the form of the (invariably nonlinear) conditional quantile relationship implied by the copula. This can be achieved with arbitrary distributions assumed for the marginals. Some properties of the copula-based quantiles or c-quantiles are derived. Finally, we examine the conditional quantile dependency in the foreign exchange market and compare our quantile approach with standard tail area dependency measures.
|Item Type:||Journal Article|
|Subjects:||H Social Sciences > HG Finance|
|Divisions:||Faculty of Social Sciences > Warwick Business School > Finance Group
Faculty of Social Sciences > Warwick Business School
|Journal or Publication Title:||European Journal of Finance|
|Publisher:||Routledge Journals, Taylor & Francis Ltd.|
|Number of Pages:||30|
|Page Range:||pp. 721-750|
|Access rights to Published version:||Restricted or Subscription Access|
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