On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositions

It seems as if national stock markets within certain groups of countries, for example within Europe and Asia, are interdependent. But to what extent are stock markets between these groups interdependent? Is it still possible to diversify among these groups, or have globalization tied world markets t...

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Main Authors: Elna Moolman, Suzanne McCoskey
Format: Article
Language:English
Published: AOSIS 2002-09-01
Series:South African Journal of Economic and Management Sciences
Online Access:https://sajems.org/index.php/sajems/article/view/2740
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spelling doaj-99340640fbb34398aa23365c220164f92020-11-24T22:04:02ZengAOSISSouth African Journal of Economic and Management Sciences1015-88122222-34362002-09-015352654810.4102/sajems.v5i3.2740816On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositionsElna Moolman0Suzanne McCoskey1Department of Economics. University of PretoriaUnited States Naval Academy, United States; and University of PretoriaIt seems as if national stock markets within certain groups of countries, for example within Europe and Asia, are interdependent. But to what extent are stock markets between these groups interdependent? Is it still possible to diversify among these groups, or have globalization tied world markets together to such an extent that diversification is no longer feasible? In this study we use time series techniques to analyze the interdependence among four of the most important groups of economies, namely Europe, Latin America, Asia and the US. This will show whether it is still possible to diversify between the stock markets of these groups of economies, since stock markets within these groups seem to be interdependent to such an extent that diversification within these groups is no longer possible. On a methodological level, we compare the results of the OLS-VAR with an FM-VAR model, which is a more robust estimation procedure in the presence of non-stationary or cointegrated series.https://sajems.org/index.php/sajems/article/view/2740
collection DOAJ
language English
format Article
sources DOAJ
author Elna Moolman
Suzanne McCoskey
spellingShingle Elna Moolman
Suzanne McCoskey
On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositions
South African Journal of Economic and Management Sciences
author_facet Elna Moolman
Suzanne McCoskey
author_sort Elna Moolman
title On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositions
title_short On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositions
title_full On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositions
title_fullStr On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositions
title_full_unstemmed On the long-run interdependence of stock markets: A tale of correlations, autoregressions and decompositions
title_sort on the long-run interdependence of stock markets: a tale of correlations, autoregressions and decompositions
publisher AOSIS
series South African Journal of Economic and Management Sciences
issn 1015-8812
2222-3436
publishDate 2002-09-01
description It seems as if national stock markets within certain groups of countries, for example within Europe and Asia, are interdependent. But to what extent are stock markets between these groups interdependent? Is it still possible to diversify among these groups, or have globalization tied world markets together to such an extent that diversification is no longer feasible? In this study we use time series techniques to analyze the interdependence among four of the most important groups of economies, namely Europe, Latin America, Asia and the US. This will show whether it is still possible to diversify between the stock markets of these groups of economies, since stock markets within these groups seem to be interdependent to such an extent that diversification within these groups is no longer possible. On a methodological level, we compare the results of the OLS-VAR with an FM-VAR model, which is a more robust estimation procedure in the presence of non-stationary or cointegrated series.
url https://sajems.org/index.php/sajems/article/view/2740
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