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As someone who has just started learning ABC of timeseries can some explain me with real - life examples of what AR (autoregressive) and MA (moving-average) MODELS helps in real life.

where AR with order of p follows :

$$X_t=\mu + \alpha_1\left(X_{t-1}-\mu\right) + \alpha_2\left(X_{t-2}-\mu\right)+ \dots + \alpha_p\left(X_{t-p}-\mu\right) + e_t$$

where MA with order of q follows :

$$X_t=\mu + e_t + \beta_1e_{t-1} + \dots + \beta_qe_{t-q}$$

Stochastic
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1 Answers1

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They are models. As somebody said: "All models are wrong, but some are useful".

For example, you can model stock prices as if they were following an AR model. Which means for example that you can try to figure out how many lags are relevant, estimate the parameters and make predictions.

Ale
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