2003 · 35 citations · 13 references
Social SciencesEconomicsFinanceEconometricsFinancial EconomicsTime Series AnalysisCointegration AnalysisFinancial Time Series AnalysisMarket IntegrationStationarity AnalysisStock MarketsTime Series EconometricsCausalityCointegration In Financial MarketsInternational Financial Market IntegrationLong-run CausalityMarket Co-integrationStock Market IntegrationTrend Modeling
The relationship between the stock markets of the developed countries has been examined extensively in the literature. This study examines the interdependence of the three major stock markets in South Asia. Using daily stock market data from January 1994 to November 2002, we examine the stock market indices of India (NSE NIFTY), Singapore (STI) and Taiwan (Taiex). The index level series are non-stationary and so we employ bi-variate and multivariate cointegration analysis to model the linkages among these stock markets. We found no cointegration between the stock market indices for the entire period and hence no long run equilibrium. We found mild causality for some years in the study though most of the time these markets have not been interlinked. The study has used. It should be borne in mind that the tests carried out only tests for presence or absence of linear relationships.
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Introduction to Statistical Time Series
James T. McClave, Wayne A. Fuller · Technometrics · 1978 · 4.3K citations
Some recent development in a concept of causality
Clive W. J. Granger · Journal of Econometrics · 1988 · 3K citations