I have this process: $X_t-0.5X_{t-1}=\epsilon_t-1.3\epsilon_{t-1}+0.4\epsilon_{t-2 }$
I'm wondering if this ARMA(1,2) is stationary and/or invertible. I know we can rewrite the process as follows: $$(1-0.5L)X_t=(1-1.3L+0.4L^2)\epsilon_t$$where $L$ is the backward operator.
- It's stationary cause the MA part is by definition, and AR part has $-0.5$ that's $|-0.5|<1$
- But I have some problem understanding the invertibility part. By definition the AR part is invertible, so we need to check the MA part, so we pick the polynomial: $(1-1.3L+0.4L^2)$ and we find the roots, if they are $|L_{(1,2)}|
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1$ my process is invertible. The roots are:$1.25$ and $2$
So I would say that the process is invertible.
But now come my question: I know that in a process (AR(2) or MA(2)) we can easily prove stationairy or invertibilty looking at the coefficients we these restrictions : \begin{cases} |\theta_2|<1\\ \theta_2+\theta_1<1\\ \theta_2-\theta_1<1 \end{cases} If if put inside my coefficients, I get:\begin{cases} |0.4|<1 \quad True\\ 0.4+1.3<1 \quad False\\ 0.4-1.3 <1\quad True \end{cases} So if I apply these rule my process is not invertible. Why do I get this contradiction?