Conduct several F-tests on the coefficients from asymmetric ECM.
ecmAsyTest(w, digits = 3)
Return a list object with the following components:
H01 in equation x: equilibrium adjustment path symmetry
H01 in equation y: equilibrium adjustment path symmetry
H02 in equation x: x does not Granger cause x
H02 in equation y: x does not Granger cause y
H02 in equation x: y does not Granger cause x
H02 in equation y: y does not Granger cause y
H03 in equation x: distributed lag symmetry of x at each lag
H03 in equation y: distributed lag symmetry of x at each lag
H03 in equation x: distributed lag symmetry of y at each lag
H03 in equation y: distributed lag symmetry of y at each lag
H04 in equation x: cumulative asymmetry of x for all lags
H04 in equation y: cumulative asymmetry of x for all lags
H04 in equation x: cumulative asymmetry of y for all lags
H04 in equation y: cumulative asymmetry of y for all lags
summary of the four types of hypothesis tests
an object of 'ecmAsyFit' class.
number of digits used in rounding outputs.
One method is are defined as follows:
print
:This shows the out
component in the returned list object.
Changyou Sun (edwinsun258@gmail.com)
There are two ECM equations for the two price series. In each equation, four types of hypotheses are tested; equilibrium adjustment path symmetry on the error correction terms (H1), Granger causality test (H2), distributed lag symmetry at each lag (H3), and cumulative asymmetry of all lags (H4). The latter two tests are only feasible and availabe for models with split variables. The number of H3 tests is equal to the number of lags.
Frey, G., and M. Manera. 2007. Econometric models of asymmetric price transmission. Journal of Economic Surveys 21(2):349-415.
ecmAsyFit
and ecmDiag
.