Home > Cluster, R > Tracking Number of Historical Clusters in DOW 30 and S&P 500

Tracking Number of Historical Clusters in DOW 30 and S&P 500

In the Tracking Number of Historical Clusters post, I looked at how 3 different methods were able to identify clusters across the 10 major asset universe. Today, I want to share the impact of clustering on the larger universe. Below I examined the historical time series of number of clusters in the DOW 30 and S&P 500 indices.

I went back to the 1970 for the companies in DOW 30 index.

plot1_dow.png.small

plot2_dow.png.small

plot3_dow.png.small

I went back to the 1994 for the companies in S&P 500 index.

plot1_sp500.png.small

plot2_sp500.png.small

plot3_sp500.png.small

Takeaways: The markets are changing, and correspondingly the diversification (i.e. number of clusters) goes thought cycles as can be seen in the charts. The results will vary across different methods and must be validated by the user. For example, some readers will consider an average of 10 clusters for S&P 500 as too small, while others might think that 10 clusters as sufficient.

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Categories: Cluster, R
  1. Keiran
    February 6, 2013 at 5:27 am

    How stable is correlation as a measure of distance for clustering? Does Spearman Correlation, for example, give the same results? And what about just doing the distance between (normalised) price series, maybe with time warping??

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