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Trying to calculate the covariance function for $x_t$

$$x_t = \frac{1}{3}a_t+\frac{1}{3}a_{t-1}, \space a_t \thicksim NID(0, \sigma^2_{a})$$

$$\gamma_x(0) = cov(x_t, x_t) \\= var(x_t) \\= var (\frac{1}{3}a_t+\frac{1}{3}a_{t-1}) \\= \frac{1}{9}var(a_t) + \frac{1}{9}var(a_t-1) \\= \frac{2}{9}\sigma^2_{a}$$

I understand up to this part.

This is where I am confused.

$$\gamma_x(1) = cov(x_t, x_{t+1})\\ = cov(\frac{1}{3}a_t+\frac{1}{3}a_{t-1}, \frac{1}{3}a_{t+1} + \frac{1}{3}a_t) \\ = \frac{1}{9}cov(a_t, a_t)\\ = \frac{1}{9}var(a_t) \\=\frac{1}{9}\sigma^2_{a}$$

So my question is, how does $cov(\frac{1}{3}a_t+\frac{1}{3}a_{t-1}, \frac{1}{3}a_{t+1} + \frac{1}{3}a_t)$ simplify to $ \frac{1}{9}cov(a_t, a_t)\\$?

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  • $\begingroup$ What does NID mean? $\endgroup$ – user158565 May 27 at 4:32
  • $\begingroup$ Normally and independently distributed. It's like IID (identically and indep...). $\endgroup$ – gunes May 27 at 8:32
  • $\begingroup$ If you've found the answer below helpful, please don't to forget to upvote and accept it. $\endgroup$ – Martin Modrák May 29 at 12:08
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Covariance is distributive: $$\begin{align}\gamma(1) &=\frac{1}{9}\operatorname{cov}\left(a_t+a_{t-1}, a_{t+1}+a_t\right) \\ &= \frac{1}{9}(\operatorname{cov}(a_t,a_{t+1})+\operatorname{cov}(a_t,a_{t})+\operatorname{cov}(a_{t-1},a_{t+1})+\operatorname{cov}(a_{t-1},a_{t}))\\ &= \frac{1}{9}(0+\operatorname{cov}(a_t,a_t)+0+0)\\ &= \frac{1}{9}\operatorname{cov}(a_t,a_t)\end{align}$$ $\operatorname{cov}(a_t,a_{t+k})=0$ when $k\neq0$ because $a_t$'s are independent. You've also implicitly assumed this in the calculation of $\gamma(0)$.

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