How to apply the window function when finding autocorrelation?

1. How do you find autocorrelation in time series?
2. How do you Analyse an autocorrelation plot?

How do you find autocorrelation in time series?

The autocorrelation function (ACF) assesses the correlation between observations in a time series for a set of lags. The ACF for time series y is given by: Corr (y_t,y_t−k), k=1,2,…. Analysts typically use graphs to display this function.

How do you Analyse an autocorrelation plot?

If autocorrelation values are close to 0, then values between consecutive observations are not correlated with one another. Inversely, autocorrelations values close to 1 or -1 indicate that there exists strong positive or negative correlations between consecutive observations, respectively.