Hi, I am working with bivariate time series data. I used VAR model to fit and forecast. But the "*p*" value from seria.test (Portmanteau Test) gives values *p<< 0.05*. Is that okay?
> var1 = VAR(datax.ts, p= 8) > serial.test(var1, lags.pt=10, type = "PT.asymptotic") Portmanteau Test (asymptotic) data: Residuals of VAR object var1 Chi-squared = 23.724, df = 8, p-value = 0.002549 Am i doing it correct? or Is this wrong? Should the value of P supposed to be greater than >> 0.05 ? When i forecast this VAR model, it gives *flat forecast* which is again wrong. Please help me. Regards| Mit freundlichen Grüßen, > Dhivya Narayanasamy > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.