spilloverRollingDY09 {frequencyConnectedness} | R Documentation |
Computing rolling spillover according to Diebold Yilmaz (2009)
Description
This function computes the rolling spillover using the standard VAR estimate. We implement the parallel version for faster processing. The window is of fixed window and is rolled over the data. Interpretation of the other parameters is the same as in the standard computation of spillover.
Usage
spilloverRollingDY09(
data,
n.ahead = 100,
no.corr,
func_est,
params_est,
window,
cluster = NULL
)
Arguments
data |
variable containing the dataset |
n.ahead |
how many periods ahead should the FEVD be computed, generally this number should be high enough so that it won't change with additional period |
no.corr |
boolean parameter whether the off-diagonal in the covariance matrix should be set to zero |
func_est |
estimation function, usually would be VAR or BigVAR function to estimate the multivariate system |
params_est |
parameters passed to the estimation function, as a list, for parameters refer to documentation of the estimating function |
window |
length of the window to be rolled |
cluster |
either NULL for no parallel processing or the variable containing the cluster. |
Author(s)
Tomas Krehlik <tomas.krehlik@gmail.com>