Comovement of international equity markets: a taxonomic approach (original) (raw)

Stockmarket comovements revisited

2005

We revisit the issue of comovements of emerging and developed stockmarkets, and provide a simultaneous treatment of data for the eighties and nineties. We show that while emerging markets experience greater instability in the long term than their developed counterparts, there is room for short−term strategies to take advantage of profit opportunities in the emerging markets, especially in India.

Dynamics of Correlation Structure in Stock Market

Entropy, 2014

In this paper a correction factor for Jennrich's statistic is introduced in order to be able not only to test the stability of correlation structure, but also to identify the time windows where the instability occurs. If Jennrich's statistic is only to test the stability of correlation structure along predetermined non-overlapping time windows, the corrected statistic provides us with the history of correlation structure dynamics from time window to time window. A graphical representation will be provided to visualize that history. This information is necessary to make further analysis about, for example, the change of topological properties of minimal spanning tree. An example using NYSE data will illustrate its advantages.

Comovements in Asia-Pacific Equity Markets: Developing Patterns in APEC

This paper examines the short and long-term price linkages among Asia-Pacific Economic Cooperation (APEC) equity markets over the period 1995 to 2000. Seven developed markets (Australia, Canada, Hong Kong, Japan, New Zealand, Singapore and the United States) and eleven emerging markets (China, Chile, Indonesia, Korea, Malaysia, Mexico, Peru, the Philippines, Russia, Taiwan and Thailand) are included in the analysis. Multivariate cointegration procedures, Granger-causality tests, level VAR and generalised variance decomposition analyses based on error-correction and vector autoregressive models are conducted to examine long and short-run relationships among these markets. The results indicate that there is a stationary long-run relationship and significant short-run causal linkages among the APEC equity markets. The results also indicate that the degree of comovement and codependencies among APEC's domestic and sub-regional markets varies considerably. In general, Australasian, Northern Asian and South American markets are relatively more influenced by domestic market conditions, North American markets relatively more by regional factors and Southern Asian markets more strongly influenced by markets outside either their own or geographical close domestic markets.

The comovements in international stock markets: new evidence from Latin American emerging countries

Applied Economics Letters, 2010

We analyze the time-variations of conditional correlations between selected Latin American emerging markets and between them and the World stock market to further shed light on the issues of capital market integration and portfolio diversification. The cross-market correlations are empirically estimated from the Engle (2002)'s DCC-GARCH model. Bai and Perron (2003)'s structural break analysis technique is also employed to test for possibly changing nature of stock market comovements. Main findings of the paper are as follows. First, the degree of cross-market comovements changed over time and has significantly increased since 1994 and onwards, which is to the large extent informative of increasing market integration. Despite the significant interdependencies among the studied markets, room for international portfolio diversification nevertheless seems largely possible. Second, it is demonstrated that the cross-market comovements are subjected to various regime shifts due essentially to major stock market events. Finally, the purpose that stock markets move much more together in times of crisis than in normal times can not be rejected according to our empirical evidence.

Short-run and long-run dynamic linkages among international stock markets

International Review of Economics & Finance, 1996

This paper investigates the dynamic linkages among the U.S., Japan, U.K. and German stock market indices using daily data for the April 1, 1984 to May 31, 91 period. In contrast to previous studies, a vector error correction model of cointegrated variables as developed by Johansen (1988, 1991) and Johansen and Juselius (1990) is employed to examine both short-run and long-run intermarket relationships among these four stock markets. Significant evidence is found in support of both short-run and long-run relationships among these four stock market indices. The U.S. stock market leads other stock markets in short-run in the pre and post October 1987 crash, but leads all other markets in the long-run in all periods examined. The presence of a one long-run cointegrating equilibrium relationship among the four stock market indices implies a limited role of international diversification for investors with long holding periods. However, because the US-Japan-Germany stock market indices, and Japan-UK-Germany indices are not cointegrated with each other, these indices may yield international portfolio diversification in the long-run. Finally, the conflicting results from multivariate cointegration tests found in this study can not be used to provide conclusive evidence on international stock market efficiency.

Persistent Correlations in Major Indices of the World Stock Markets

Complex Systems: Solutions and Challenges in Economics, Management and Engineering

Time-dependent cross-correlation functions have been calculated between returns of the major indices of the world stock markets. One-, two-, and three-day shifts have been considered. Surprisingly high and persistent-in-time correlations have been found among some of the indices. Part of those correlations can attributed to the geographical factors, for instance, strong correlations between two major Japanese indices have been observed. The reason for other, somewhat exotic correlations, appear to be as much accidental as it is apparent. It seems that the observed correlations may be of practical value in the stock market speculations.

Statistical Properties of the CEE Stock Market Dynamics. A Panel Data Analysis

2010

The importance of Central and Eastern European (CEE) stock markets grew after 1990 as they were gradually used as diversification instruments for the foreign investors as well as due to the general expectation of their integration within the European capital market. This development generated an increasing body of literature issued with the aim to analyze the properties of these markets