S
steph
Member
I'm a bit confused.... if I am given a time series but the question doesn't specify whether it is moving average, auto regressive, etc.. how can I decide which it is?
Try this one...
Kt = Kt-1 + Zt +0.5Zt-2
Classify this process,
Hi, Anna,
A) ▽ K(t) - 2 ▽ K(t-1) = Z(t) + 0.5Z(t-1)
B) ▽ K(t) = Z(t) + 0.5Z(t-2)
For A: You used CH EQ for stationarity leading to answer that it is not a stationary process.
For B: You used the fact that it is a sum of white noise so it is stationary.
Questions:
1) Why different approach used ?
2) Can we use sum of white noise appraoch for A ? Which will mean it is a stationary process !!!
3) Can we use CH EQ for B ??? If Yes, what are the steps ?
4) Any thumb rule on which approach to take as a standard.