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We show that the last few components in principal component analysis of thecorrelation matrix of a group of stocks may contain useful financialinformation by identifying highly correlated pairs or larger groups of stocks.The results of this type of analysis can easily be included in the informationan investor uses to manage their portfolio.

Identifying Highly Correlated Stocks Using the Last Few Principal Components