We show that the last few components in the principal component analysis of the correlation matrix of a group of stocks may contain useful financial insights by identifying highly correlated pairs or larger groups of stocks. The results of this type of analysis can easily be included in the...

We show that the last few components in the principal component analysis of the correlation matrix of a group of stocks may contain useful financial insights by identifying highly correlated pairs or larger groups of stocks. The results of this type of analysis can easily be included in the...

We present four methods of assessing the diversification potential within a stock market, and two of these are based on principal component analysis. They were applied to the Australian stock exchange for the years 2000 to 2014 and all show a consistent picture. The potential for diversification...

We present four methods of assessing the diversification potential within a stock market, two of these are based on principal component analysis. They were applied to the Australian stock exchange for the years 2000 to 2014 and all show a consistent picture. The potential for diversification...

We show that the last few components in principal component analysis of the correlation matrix of a group of stocks may contain useful financial information by identifying highly correlated pairs or larger groups of stocks. The results of this type of analysis can easily be included in the...

We propose a stock selection method that is based on a variable selection method used with principal component analysis. We applied our method to stocks in the ASX200 and show that a portfolio of as little as 15 stocks can closely replicate the behaviour of the index. We show that the number of...