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An Application of Correlation Clustering to Portfolio Diversification

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Table 1: Basic statistics on the correlations. There are n125)count of the number of correlations which were estimated to be negative
Figure 2: SplitsTree network for 126 stocks from the Shanghai A Stock Exchangefor period one using five trading day returns to estimate correlations and hencedistances with the stocks in cluster one colour coded.The eight correlationclusters each have differ
Figure 3: The SplitsTree network for the Shanghai A Stock Exchange for periodone with the stocks in cluster one colour coded by industry group
Figure 4: SplitsTree network for study period two with the stocks from clusterone, period one coloured
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