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Finding Cointegration Rank in High Dimensional Systems Using the Johansen Test: An Illustration Using Data Based Monte Carlo Simulations

The Review of Economics and Statistics, 1996
The authors examine the ability of the Johansen (1991) test to estimate the number of unit roots in high dimensional systems. They use data based Monte Carlo methods as a simple means of evaluating the validity of inference using asymptotic critical values.
Ho, Mun S, Sorensen, Bent E
openaire   +1 more source

Johansen cointegration rank tests under local alternative hypotheses when related drift or linear trend is not dependent upon sample size in VARs

Communications in Statistics - Theory and Methods, 2018
This paper discusses Johansen’s likelihood ratio tests to determine the cointegration rank under local alternative hypotheses in the vector autoregressive models (VARs) in which drift or linear tre...
Mitsuhiro Odaki, Min Li
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An Application of a Johansen Cointegration Test and a Vector Error Correction, (VEC) Model to Test the Granger Causality between General Government Revenues and General Government Total Expenditures in Greece

SSRN Electronic Journal, 2018
In this article, we are investigating the effects of macroeconomic variables in terms of natural logarithmic yearly returns of general government revenues and general government total expenditures of Greece. We have applied a Vector Error Correction model, (VEC) a Granger causality and Johansen cointegration test to check for long – term relationship ...
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Prediction error of Johansen cointegration residuals for structural health monitoring

Mechanical Systems and Signal Processing, 2021
Mohsen Mousavi, Amir H Gandomi
exaly  

A wavelet-based approach for Johansen’s likelihood ratio test for cointegration in the presence of measurement errors: An application to CO2 emissions and real GDP data

Communications in Statistics Case Studies Data Analysis and Applications, 2021
Olivier Habimana, Kristofer Mansson
exaly  

Johansen's test for cointegration [PDF]

open access: possibleStata Technical Bulletin, 1995
Ken Heinecke, Charles Morris
openaire  

Causal Relations Between Macroeconomic Factors and Vietnamese Stock Market Returns: A Johansen Cointegration Test

2018
The purpose of this dissertation is to determine whether the validation of crucial empirical results on causality relationships between stock returns and macroeconomic variables arising from advanced markets is still accurate when applying to developing ones, such as the Vietnamese market. The main method is the Vector Error Correction Model (VECM) and
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