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

Elzbieta Majewska () and Pawel Jamroz ()
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Elzbieta Majewska: University of Bialystok
Pawel Jamroz: University of Bialystok

Chapter Chapter 18 in Advances in Time Series Data Methods in Applied Economic Research, 2018, pp 235-249 from Springer

Abstract: 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.

Keywords: Financial integration; Principal component analysis; Euro area stock markets (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-02194-8_18

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DOI: 10.1007/978-3-030-02194-8_18

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