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Topic: Autocorrelation


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In the News (Mon 9 Nov 09)

  
  1.3.5.12. Autocorrelation
When the autocorrelation is used to detect non-randomness, it is usually only the first (lag 1) autocorrelation that is of interest.
When the autocorrelation is used to identify an appropriate time series model, the autocorrelations are usually plotted for many lags.
The heat flow meter data demonstrate the use of autocorrelation in determining if the data are from a random process.
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 Investment Performance Analysis - Autocorrelation
In a general context, "autocorrelation" (also called "serial correlation") is the correlation between observations of a time series with lagged observations of the same series.
In a performance context, positive autocorrelation of period returns can result in a positive (negative) relatiev return in one period followed by another positive (negative) relative return the next period.
The problem with positive autocorrelation is that it will have a lower volatility than the uncorrelated series.
www.andreassteiner.net /performanceanalysis/?Risk_Measurement:Advanced_Topics:Autocorrelation   (250 words)

  
 Autocorrelation
Autocorrelation means that the observations are not independent.
Each observation will tend to be close in value to the next.
A little bit of autocorrelation will not ruin a control chart.
www.isixsigma.com /dictionary/Autocorrelation-522.htm   (315 words)

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