Investopedia explains 'Durbin Watson Statistic'
Autocorrelation can be a significant problem in analyzing historical pricing information if one does not know to look out for it. For instance, since stock prices tend not to change too radically from one day to another, the prices from one day to the next could potentailly be highly correlated, even though there is little useful information in this observation. In order to avoid autocorrelation issues, the easiest solution in finance is to simply convert a series of historical prices into a series of percentage-price changes from day to day.
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