Autocorrelation

Negative bias in sample auto-correlation of uncorrelated time-series

Negative bias in sample auto-correlation of uncorrelated time-series
  1. What if autocorrelation is negative?
  2. Can you have negative autocorrelation?
  3. Can ACF be negative?
  4. Does autocorrelation cause bias?

What if autocorrelation is negative?

Negative autocorrelation occurs when an error of a given sign between two values of time series lagged by k followed by an error of the different sign.

Can you have negative autocorrelation?

Autocorrelation, also known as serial correlation, refers to the degree of correlation of the same variables between two successive time intervals. The value of autocorrelation ranges from -1 to 1. A value between -1 and 0 represents negative autocorrelation. A value between 0 and 1 represents positive autocorrelation.

Can ACF be negative?

The ACF property defines a distinct pattern for the autocorrelations. For a positive value of , the ACF exponentially decreases to 0 as the lag increases. For negative , the ACF also exponentially decays to 0 as the lag increases, but the algebraic signs for the autocorrelations alternate between positive and negative.

Does autocorrelation cause bias?

In the presence of autocorrelation, the OLS estimators are unbiased and inefficient. The OLS estimators will not give biased results, that is, the estimators will converge to their true value. When there is autocorrelation, the OLS estimators will remain linear, unbiased, and consistent.

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