Posch, Peter N.Ullmann, DanielWied, Dominik2015-09-032015-09-032015http://hdl.handle.net/2003/3421610.17877/DE290R-16295Model free tests for constant parameters often fail to detect structural changes in high dimensions. In practice, this corresponds to a portfolio with many assets and a reasonable long time series. We reduce the dimensionality of the problem by looking a compressed panel of time series obtained by cluster analysis and the principal components of the data. Using our methodology we are able to extend a test for a constant correlation matrix from a sub portfolio to whole indices and exemplify the procedure with the EuroStoxx index.enDiscussion Paper / SFB 823;32/2015correlationportfolio managementcluster analysisstructural change310330620Testing for structural changes in large portfoliosworking paper