DCCA cross-correlation in blue-chips companies A view of the 2008 financial crisis in the Eurozone.pdfVIP
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DCCA cross-correlation in blue-chips companies A view of the 2008 financial crisis in the Eurozone.pdf
Physica A 479 (2017) 38–47
Contents lists available at ScienceDirect
Physica A
journal homepage: /locate/physa
DCCA cross-correlation in blue-chips companies: A view of the 2008 financial crisis in the Eurozone
E. Guedes a, A. Dionísio b, P.J. Ferreira b,c,d, G.F. Zebende e,?
a Computational Modeling Program of SENAI CIMATEC, Bahia, Brazil b CEFAGE-UE, IIFA, University of évora, Portugal c Escola Superior Agrária de Elvas, Instituto Politécnico de Portalegre, Portugal d Universidade Europeia, Portugal e Department of Physics, State University of Feira de Santana, Bahia, Brazil
highlights
? We analyze by DCCA cross-correlation coefficient the blue-chips companies in the Eurozone. ? With the DCCA coefficient, we qualify and quantify how each blue-chip is adherent to its country index. ? From this analysis, we can construct an adhesion map of each company with respect to the global index.
article info
Article history: Received 13 October 2016 Received in revised form 27 January 2017 Available online 6 March 2017
Keywords: Financial crisis Eurozone Blue-chips DCCA cross-correlation coefficient Econometric
abstract
In this paper we analyze the blue-chips (up to 50% of the total index) companies in the Eurozone. Our motivation being analysis of the effect of the 2008 financial crisis. For this
purpose, we apply the DCCA cross-correlation coefficient (ρDCCA) between the country stock
market index and their respective blue-chips. Then, with the cross-correlation coefficient, we qualify and quantify how each blue-chip is adherent to its country index, evaluating the type of cross-correlation among them. Subsequently, for each blue-chip, we propose to study the 2008 financial crisis by measuring the adherence between post and pre-crisis. From this analysis, we can construct an adhesion map of each company with respect to the global index. Our database is formed of 12 Eurozone countries.
? 2017 Elsevier B.V. All rights reserved.
1. Introduction
The economy can be understood as
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