**Autocorrelation, **

### Definition of Autocorrelation:

Autocorrelation can also be referred to as lagged correlation or serial correlation, as it measures the relationship between a variable's current value and its past values. When computing autocorrelation, the resulting output can range from 1 to negative 1, in line with the traditional correlation statistic. An autocorrelation of +1 represents a perfect positive correlation (an increase seen in one time series leads to a proportionate increase in the other time series). An autocorrelation of negative 1, on the other hand, represents perfect negative correlation (an increase seen in one time series results in a proportionate decrease in the other time series). Autocorrelation measures linear relationships; even if the autocorrelation is minuscule, there may still be a nonlinear relationship between a time series and a lagged version of itself.

Situation in which a time series data is influenced by its own historical values, such as a current years budget based on the last years budget.

Autocorrelation is a mathematical representation of the degree of similarity between a given time series and a lagged version of itself over successive time intervals. It is the same as calculating the correlation between two different time series, except autocorrelation uses the same time series twice: once in its original form and once lagged one or more time periods. .

Correlation between the elements of a series and others from the same series separated from them by a given interval.

### How to use Autocorrelation in a sentence?

- Technical analysts can use autocorrelation to see how much of an impact past prices for a security have on its future price.
- Autocorrelation measures the relationship between a variable's current value and its past values.
- When one computes data over a length time (say, over five years), you will encounter autocorrelation ; where, data from the past five years has contributed to the end result data of the present.
- An autocorrelation of +1 represents a perfect positive correlation, while an autocorrelation of negative 1 represents a perfect negative correlation.
- The statistical autocorrelation of the time series give values between + 1 and - 1.
- Autocorrelation represents the degree of similarity between a given time series and a lagged version of itself over successive time intervals.
- You should try to not rely solely on autocorrelation but you should use to to try and make new projections for the future.
- You need to be able to use autocorrelation when you want to break down and predict how next year may play out.

Meaning of Autocorrelation & Autocorrelation Definition