INVESTIGADORES
ORTEGA Guillermo Jose
artículos
Título:
Network analysis of exchange data: interdependence drives crisis contagion
Autor/es:
DAVID MATESANZ; G. J. ORTEGA
Revista:
QUALITY & QUANTITY
Editorial:
SPRINGER
Referencias:
Lugar: Berlin; Año: 2013 p. 1 - 17
ISSN:
0033-5177
Resumen:
In this paper, we examine linear and nonlinear co-movements that appear in thereal exchange rates of a group of 28 developed and developing countries. The matrix ofPearson correlation and Phase Synchronous coefficients have been used in order to construct a topology and hierarchy of countries by using the Minimum Spanning Tree (MST). In addition, theMST cost and global correlation coefficients have been calculated to observe the co-movements? dynamics throughout the time sample. By comparing Pearson and Phase Synchronous information, a new methodology is emphasized; one that can uncover meaningful information pertaining to the contagion economic issue and, more generally, the debate surrounding interdependence and/or contagion in financial time series. Our results suggest some evidence of contagion in the Asian currency crises; however, this contagion is driven by previous and stable interdependence.