Linear Granger causality tests
Bayes multivariate signification tests and Granger causality
... The Granger causality test is reduced, after co-integration, to the test of the fact that some coefficients of linear regressions are equal to zero or ...Bayes tests for the signification of ...
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Bayes multivariate signification tests and Granger causality
... The Granger causality test is reduced, after co-integration, to the test of the fact that some coefficients of linear regressions are equal to zero or ...Bayes tests for the signification of ...
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Granger Causality Tests with Mixed Data Frequencies
... There are a lot of daily and intra-daily data available, and the collection of such data is expanding as the cost of retrieval and storage have been vastly reduced over the last decade. The mixture of macroeconomic low ...
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Keywords: Gross domestic product; the simultaneous integration method; multiple linear regression mode; Causality tests for Granger.
... multiple linear regression, and the causality tests of Granger, after studying the stability of the previous series using the tests adopted ADF (1981) - PP ...
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A non-linear Granger-causality framework to investigate climate–vegetation dynamics
... likelihood-ratio tests, in which the full and baseline models are nested models (Mosedale et ...any Granger-causal model should be validated on out-of-sample data to avoid overfit- ting (see ...non- ...
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Guaranteed Stability of Autoregressive Models with Granger Causality Learned from Wald Tests
... the Granger causality (GC) concept through autoregressive (AR) models and to assure the model ...with Granger causality and stability constraints which is a convex program with a quadratic ...
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Testing subspace Granger causality.
... (6) and test the hypothesis r 9 h I 1 (θ) for each θ in the range [−90 ◦ , 90 ◦ ) for h = 1, . . . , 6, using the DPR method with 12 lags and including a constant and seasonal dummies (Section 4 provides much more detail ...
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Testing for linear and nonlinear Granger Causality in the real exchange rate-consumption relation
... 2 Causality Tests Let {y t } and {x t } denote two stationary and ergodic time series ...a Granger-causal relationship between the two series without restricting the analysis to a specific functional ...
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Finite sample sign-based procedures in linear and non-linear statistical models: with applications to Granger causality analysis
... sign-based tests in the context of linear and non-linear regression models, which are valid under non-normality and heteroskedasticity of unknown form, provided the errors have zero median ...
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Linear and Non-Linear Causality Tests of Stock Price and Real Exchange Rate Interactions in Turkey
... a causality relationship between stock price and real exchange rates in ...side, Granger causality test, Toda- Yamamoto causality analysis and Diks and Panchenko nonlinear causality ...
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The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference
... 4.4. Application to spiking (i.e., point process) data Point process data obtained from direct neural recordings represents the other end of the spatiotemporal scale from fMRI, but carries its own challenges with respect ...
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Multivariate out-of-sample tests for Granger causality.
... paper, Granger causality tests are carried out by means of an out-of-sample comparison of these two nested ...a Granger causality con- text. Granger causality questions ...
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BugMaps-Granger: a tool for visualizing and predicting bugs using Granger causality tests
... As future work, we intend to extend BugMaps-Granger with other internal software quality metrics, including metrics associated to violations in the static architecture of software systems, as revealed by the DCL ...
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Application of Granger Causality Tests to Revenue and Expenditure of Swiss cantons
... For the purpose of comparison, we also carried out an analysis of the growth rates of real revenue and expenditure. Given that these series are stationary for all of the cantons, we estimated autoregressive models. ...
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Tests for Long-Run Granger Non-Causality in Cointegrated Systems
... The remainder of the paper is organized as follows. In section 2 we introduce the model and give the definitions of long-run Granger non-causality and long-run neutrality, and testable conditions for them. ...
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On the Sensitivity of Granger Causality to Errors‐In‐Variables, Linear Transformations and Subsampling
... 8. CONCLUSION In this article, we have sought to explain how intuition can be misleading in determining the effect of certain changes made to an underlying model on the Granger causality properties ...
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Granger causality revisited
... generating Granger causality ...which Granger causal measures would be used to characterise directed functional connectivity in a quantita- tive ...
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Price-Volume Granger Causality Tests in the Egyptian Stock Exchange (EGX)
... H 3 : Stock returns would Granger-cause trading volume in the EGX. H 4 : Trading volume would Granger-cause stock returns in the EGX. 3.2 Data and Sample The EGX data used in this paper come from ...
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Determinants of NEETs, using Granger Causality Tests: Applications to ECE and Arab Economies
... likely causality between NEETs and other economic, social and political variables in the countries of Central and East European economies (ECE) with a focus on the situation of Arab ...population. Granger ...
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The relationship between the F-test and the Schwarz criterion: Implications for Granger-causality tests
... In applied research, the Schwarz Bayesian Information Criterion (BIC) and the F-test might yield different inferences about the causal relationships being investigated. This paper examines the relationship between the ...
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