Abstract
This paper analyzes the process of long-run co-movements and stock market globalization on the basis of cointegration tests and vector error correction (VEC) models. The cointegration tests used here allow for structural breaks to be explicitly modeled and breakpoints to be computed on a relative-time basis. The data used in our empirical analysis were drawn from Datastream and comprise the natural logarithms of relative stock market indexes since 1973 for the G7 countries. The main results point to the conclusion that significant causal cointegration effects occur in this context and that there is a long-run relationship that governs the worldwide process of market integration. Globalization, however, is a complex adjustment process and in many cases there is only evidence of weak market integration which means that non-proportional price transmission occurs in the market along with proportional changes. The worldwide markets, as expected, appear to be driven in general by the US stock market.
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References
Arshanapalli B, Doukas J. Common stochastic trends in a system of eurocurrency rates. J Bank Finan, 1994, 18: 1047–1061
Chung P J, Liu D J. Common stochastic trends in Pacific Rim stock markets. Quart Rev Econom Finan, 1994, 34: 241–259
Drożdż S, Grümmer F, Ruf F, et al. Towards identifying the world stock market cross-correlations: DAX versus Dow Jones. Physica A, 2001, 294: 226–234
Hamao Y, Masulis R W, Ng V. Correlations in price changes and volatility across international stock markets. Rev Finan Stud, 1990, 3: 281–307
Kasa K. Common stochastic trends in international stock markets. J Monet Econom, 1992, 29: 95–124
Masih A M M, Masih R. Dynamic linkages and the propagation mechanism driving major international stock markets: An analysis of the pre- and post-crash eras. Quart Rev Econom Finan, 1997, 37: 859–885
Masih A M M, Masih R. Propagative causal price transmission among international stock markets: Evidence from the pre- and post-globalization period. Glob Finan J, 2002, 13: 63–91
Tavares J. Economic integration and the comovement of stock returns. Econom Lett, 2009, 103: 65–67
Zhou W, Sornette D. Evidence of a world-wide stock market log-periodic anti-bubble since mid-2000. Physica A, 2003, 330: 543–583
Alexander C. Practical Financial Econometrics—Market Risk Analysis II. New York: John Wiley & Sons, 2008
Engle R F, Granger C. Cointegration and error-correction: Representation, estimation and testing. Econometrica, 1987, 55: 251–276
Eun C S, Shim S. International transmission of stock market movements. J Finan Quant Anal, 1989, 24: 241–256
Stigler G J. The Theory of Price. London: Macmillan, 1969
Sutton J. Sunk Costs and Market Structure. Cambridge: MIT Press, 1991
Bonfiglioli A, Favero C. Explaining co-movements between stockmarkets: The case of US and Germany. J Int Money Finan, 2005, 24: 1299–1316
Corazza M, Malliaris A G, Scalco E. Nonlinear bivariate comovements of asset prices: Methodology, tests and applications. Comput Econom, 2010, 35: 1–23
Kim S J, Moshirian F, Wu E. Dynamic stock market integration driven by the European Monetary Union: An empirical analysis. J Bank Finan, 2005, 29: 2475–2502
Savva C. International stock markets interactions and conditional correlations. J Int Finan Mark Inst Money, 2009, 19: 645–666
Cassel G. Abnormal deviations in international exchanges. Econom J, 1918, 28: 413–415
Ross S A. The arbitrage theory of capital asset pricing. J Econom Theory, 1976, 13: 341–360
Dickey D A, Fuller W A. Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc, 1979, 74: 427–431
Dickey D A, Fuller W A. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 1981, 49: 1057–1072
MacKinnon J G. Critical values for co-integration tests. In: Engle R F, Granger C W J, eds. Long-Run Economic Relationships. Oxford: Oxford University Press, 1991. 267–276
MacKinnon J G. Numerical distribution functions for unit root and cointegration tests. J Appl Econom, 1996, 11: 601–618
Blough S R. The relationship between power and level for generic unit root tests in finite samples. J Appl Econom, 1992, 7: 295–308
Kwiatkowski D, Phillips P C B, Schmidt P, et al. Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? J Econom, 1992, 54: 159–178
Phillips P C B. Understanding spurious regressions in econometrics. J Econom, 1986, 33: 311–340
Granger C W J, Newbold P. Spurious regressions in econometrics. J Econom, 1974, 2: 111–120
Stock J H. Asymptotic properties of least squares estimation of cointegration vectors. Econometrica, 1987, 55: 1035–1056
Hendry D F, Juselius K. Explaining cointegration analysis: Part 1. Energy J, 2000, 21: 1–42
Beine M, Capelle-Blancard G, Raymond H. International nonlinear causality between stock markets. Europ J Finan, 2008, 14: 663–686
Schwarz G. Estimating the dimension of a model. Ann Stat, 1978, 6: 461–464
Gregory A, Hansen B. Residual-based tests for cointegration in models with regime shifts. J Econom, 1996, 70: 99–126
Hart P E, Mills G, Whitaker J K. Econometric Analysis for National Economic Planning (Colston Papers No. 16). London: Butterworths, 1964
Granger C W J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 1969, 37: 424–438
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Menezes, R., Dionísio, A. Globalization and long-run co-movements in the stock market for the G7: An application of VECM under structural breaks. Chin. Sci. Bull. 56, 3707–3716 (2011). https://doi.org/10.1007/s11434-011-4755-x
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DOI: https://doi.org/10.1007/s11434-011-4755-x