Detecting structural changes in large portfolios
Peter N. Posch (),
Daniel Ullmann () and
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Peter N. Posch: TU Dortmund University
Daniel Ullmann: TU Dortmund University
Empirical Economics, 2019, vol. 56, issue 4, 1341-1357
Abstract Model-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 at a compressed panel of time series obtained by cluster analysis and the principal components of the data. With this procedure, we can extend tests for constant correlation matrix from a sub-portfolio to whole indices, which we exemplify using a major stock index.
Keywords: Correlation; Structural change; Cluster analysis; Portfolio management (search for similar items in EconPapers)
JEL-codes: C12 C55 C58 G11 (search for similar items in EconPapers)
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