On the application of new tests for structural changes on global minimum-variance portfolios

We investigate if portfolios can be improved if the classical Markowitz mean–variance portfolio theory is combined with recently proposed change point tests for dependence measures. Taking into account that the dependence structure of financial assets typically cannot be assumed to be constant over...

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Veröffentlicht in:Statistical papers (Berlin, Germany) Germany), 2013-11, Vol.54 (4), p.955-975
Hauptverfasser: Wied, Dominik, Ziggel, Daniel, Berens, Tobias
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Ziggel, Daniel
Berens, Tobias
description We investigate if portfolios can be improved if the classical Markowitz mean–variance portfolio theory is combined with recently proposed change point tests for dependence measures. Taking into account that the dependence structure of financial assets typically cannot be assumed to be constant over longer periods of time, we estimate the covariance matrix of the assets, which is used to construct global minimum-variance portfolios, by respecting potential change points. It is seen that a recently proposed test for changes in the whole covariance matrix is indeed partially useful whereas pairwise tests for variances and correlations are not suitable for these applications without further adjustments.
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source SpringerLink Journals - AutoHoldings; EBSCOhost Business Source Complete
subjects Adjustment
Construction costs
Correlation
Covariance matrix
Economic Theory/Quantitative Economics/Mathematical Methods
Economics
Estimates
Finance
Insurance
Management
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
Portfolio management
Probability Theory and Stochastic Processes
Regular Article
Statistical analysis
Statistics
Statistics for Business
Studies
Time series
title On the application of new tests for structural changes on global minimum-variance portfolios
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