Computes information criteria and the sequential Chi-square statistics for a vector autoregressive process
VARorder(x, maxp =13, output = T)
Arguments
x: Data matrix of dimension T-by-k with T being the sample size and k the number of time series
maxp: The maximum VAR order entertained. Default is 13.
output: A logical switch to control the output. Default is to provide output
Details
For a given maxp, the command computes Akaike, Bayesian and Hannan-Quinn information criteria for various VAR models using the data from t=maxp+1 to T. It also computes the Tiao-Box sequential Chi-square statistics and their p-values.
Returns
aic: Akaike information criterion
bic: Bayesian information criterion
hq: Hannan and Quinn information criterion
aicor, bicor, hqor: Orders selected by various criteria
Mstat: Chi-square test statistics
Mpv: p-values of the Mstat
References
Tsay (2014). Multivariate Time Series Analysis with R and Financial Applications. John Wiley. Hoboken, NJ.