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Market efficiency of US grain markets: Application of cointegration tests

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References

1987Co-Integration and Error Correction: Representation, Estimation, and Testing31,983 cited
1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root23,183 cited
1988Testing for a Unit Root in Time Series Regression19,288 cited
1988Statistical analysis of cointegration vectors17,038 cited
1981Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root14,647 cited
1990MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY14,047 cited
1987COINTEGRATION AND ERROR CORRECTION: REPRESENTATION1,262 cited
1989Common Stochastic Trends in a System of Exchange Rates626 cited
1994A Comparison of Unit-Root Test Criteria447 cited
1992An Empirical Analysis of Stock Prices in Major Asian Markets and the United States280 cited
1991COINTEGRATION TESTS WITH DAILY EXCHANGE RATE DATA123 cited
1989Foreign exchange market efficiency and cointegration118 cited
1994Testing for Cointegration in Linear Quadratic Models94 cited

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