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Integration Measures Based on Principal Component Analysis: Example of Eurozone Stock Markets

In: Advances in Time Series Data Methods in Applied Economic Research

Author

Listed:
  • Elzbieta Majewska

    (University of Bialystok)

  • Pawel Jamroz

    (University of Bialystok)

Abstract

This article discusses selected ways of measuring financial market integration that can be found in existing scientific literature. The main aim of this research is to characterize those integration measures which are based on principal components analysis, such as: (1) Coefficient of determination of the regression model with principal components as the regressors, (2) integration index equal to the share of variance explained by the first principal component with respect to the overall variance of the original variables, and (3) segmentation index that captures the variation in loadings of the first principal component. The above mentioned measures have been utilized to carry out a dynamic analysis of the level of integration of eurozone stock markets in the time periods: 2007–2009 and 2009–2012.

Suggested Citation

  • Elzbieta Majewska & Pawel Jamroz, 2018. "Integration Measures Based on Principal Component Analysis: Example of Eurozone Stock Markets," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Time Series Data Methods in Applied Economic Research, chapter 0, pages 235-249, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-02194-8_18
    DOI: 10.1007/978-3-030-02194-8_18
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