Granger Causality Over the Long Term
Long-Term Price Linkages of the Top Ten RMFS and LTFS with the Set Index: A Case of Unidirectional Granger Causality Relationship
... and Long-term Equity Funds (LTFs) ranked by Morningstar Thailand on the percentage change in the Stock Exchange of Thailand’s Index (SET Index) during the period from January 2011 to May ...examine, ...
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A parsimonious Granger causality formulation for capturing arbitrarily long multivariate associations
... arbitrarily long past dependencies without increasing the number of ...the long-term information in correlated time series with a possible heterogeneous delay structure in their interdependence ...
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The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference
... analysis. Unlike surface M / EEG this data is usually spatially highly precise while sharing the advantages of high tempo- ral resolution and sampling rate. However, perhaps counter- intuitively, LPF and iEEG data can ...
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Granger causality of interest rate on REIT’s return
... in long-term interest rate has negative impact on both common stocks and ...a long-term investment, real estate seems to have higher correlation with longer-term rates but it does not ...
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Decomposing Granger causality over the spectrum.
... The spectral tests, however, show that for France, superior predictions are only obtained for time horizons beyond three months, while German production expectation se[r] ...
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Geometric and long run aspects of Granger causality.
... is a nonexplosive linear process X = {X(t) ∈ R n X : t ≥ 0} satisfying (8.1) – (8.2), where η(t) consists of expectational errors satisfying P (η(t + 1)|I(t)) = 0 for all t > 0, and I(t) = sp{X 0 } + Y (ω, t] is ...
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Granger causality revisited
... Equipped with the expressions in Table 1, one can derive the expected functions that characterise functional connectivity, given the parameters of the underlying state-space model. Furthermore, one can derive any one ...
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Tests for Long-Run Granger Non-Causality in Cointegrated Systems
... of long-run Granger non-causality and long-run neutrality, and testable conditions for ...among long-term interest rates in five nations; the ...
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Dynamic medium term Granger causality between growth and poverty
... traditional Granger causality tests to suit the short times series that are available, and use panel data model evaluation techniques to test the out-of-sample forecasting performance of competing ...a ...
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Mapping directed influence over the brain using Granger causality and fmri
... Granger causality analysis has been previously applied to electrophysiological animal data, specifically Local Field Poten- tials (LFPs) to detect influences at the neuronal population level ( Baccala and ...
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Testing subspace Granger causality.
... Figure 5: Rejection Rates for SGNC Tests of r to (y, u) at Horizon 1. fixed–b test. The bootstrapped tests are non–parametric, with N = 2000 and a burn–in of 100 periods. The results are plotted in Figures 5 and 6. The ...
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A review of the Granger-causality fallacy
... criticism, Granger-causality tests have been applied to over 45 thousand studies indexed by the world’s most popular scholar papers search ...1. Granger-causality is now being applied ...
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Evaluating the Granger Causality Effect of Exchange Rate On Nigerian Balance of Payment: A Granger Causality Analysis
... to over-dependency on imported products, reliance of revenues from oil exports, massive imports of refined petroleum and other related ...the granger causality effect of foreign exchange rate on ...
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Applications of Granger causality to biological data
... that Granger causality could reliably recover most interactions correctly, especially by using the LFP ...with Granger causality to investigate how anaesthesia alters neural connectivity ...
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Multivariate Granger causality and generalized variance
... IX. DISCUSSION We have described and motivated a measure of multivari- ate causal interaction that is a natural extension of the stan- dard G-causality measure. The measure, originally intro- duced by Geweke 关5兴 ...
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Granger Causality Analyses for Climatic Attribution
... applied Granger cau- sality for several in-sample tests with different periods, also adopting a moving window ...widely over time, but a sensible influence is detectable in the second half of the 20 th cen- ...
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Measuring nonlinear Granger causality in mean.
... Finally, we applied our nonparametric measures to quantify the degree of nonlinear predictability of risk premium using variance risk premium. The latter is defined as difference between risk-neutral and objective ...
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Granger Causality and the Sampling of Economic Processes
... The coefficients A k will be contaminated even when the projections in continuous-time and discrete-time coincide, as can be seen by putting c(u) = a(u) for all u in (8). Generally, only when a ij = 0 for all i, j will ...
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Granger-Causality in the presence of structural breaks
... of Granger-Causality (GC) is widely used to draw inference concerning causality in applied ...the term of reference used in GC testing, which is generally studied by means of a standard ...
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Granger Causality and Structural Causality in Cross-Section and Panel Data
... G causality and structural causal- ity speci…c to cross-section or panel ...structural causality, namely, structural heterogeneity and distributional ...a long tradition in the literature on panel ...
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