Im using the MTS package since I'm basing myself on Tsay (2014). I'm trying to fit a model with mexican unemployment rates and CPI. doing the eccm I get:
0 | 1 | 2 | 3 | 4 | 5 | 6 | |
---|---|---|---|---|---|---|---|
0 | 0.0000 | 0.0052 | 0.0560 | 0.0616 | 0.0276 | 0.0129 | 0.1035 |
1 | 0.0000 | 0.0000 | 0.5188 | 0.0659 | 0.0003 | 0.0022 | 0.6971 |
2 | 0.0003 | 0.0261 | 0.0001 | 0.0005 | 0.0000 | 0.0101 | 0.2774 |
3 | 0.0015 | 0.0408 | 0.0448 | 0.0010 | 0.0022 | 0.0161 | 0.1256 |
4 | 0.0037 | 0.0160 | 0.1507 | 0.7338 | 0.0768 | 0.4615 | 0.3397 |
5 | 0.0650 | 0.2512 | 0.3963 | 0.8729 | 0.8839 | 0.6567 | 0.9994 |
So i thought VARMA(1,2), VARMA(2,1) where good options. The problem is that R tells me that when they try to solve matrices they get NaNs. But if I do a VARMA(2,0) I get no problems.
Am I choosing right? and if so, what should i do?