- How to calculate autocorrelation?
- Is it good to have autocorrelation?
- What is autocorrelation used for?
How to calculate autocorrelation?
The number of autocorrelations calculated is equal to the effective length of the time series divided by 2, where the effective length of a time series is the number of data points in the series without the pre-data gaps.
Is it good to have autocorrelation?
Autocorrelation can be useful for technical analysis, That's because technical analysis is most concerned with the trends of, and relationships between, security prices using charting techniques. This is in contrast with fundamental analysis, which focuses instead on a company's financial health or management.
What is autocorrelation used for?
The autocorrelation ( Box and Jenkins, 1976) function can be used for the following two purposes: To detect non-randomness in data. To identify an appropriate time series model if the data are not random.