Dear all,
I have the following general question which I will briefly summarize:
We would like to test a theory which links out of sample predictability to
1) nonstationarity of the underlying regressors
2) In sample performance of the underlying models
Now here is my question: We have performed rolling regressions and recursive unit root tests. So we achieve
1) A time varying Theils-U
2) A time varying R2
3) Test statisic / p-values of the underlying models
Is there any reason why 1 cannot be regressed on/compared to 2+3? Recursive and rolling regressions are originally designed to determine stability of coefficients or models so we are unsure whether they should be used in a second step.( Its obvious that the series will be higly autocorrelated so this problem has to be dealt with.)
Any comments or suggestions are higly appreciated
Best Regards
Gilbril
Using rolling estimates for further analysis
Re: Using rolling estimates for further analysis
I don't see what you would gain from regressing Theil's U on an R squared and p-values. I know of no test statistic that does that. Perhaps it would be interesting to plot (or compare across models) the rolling Theil's U, the rolling R squared and the rolling p-values.