Sounds crazier than it really is. The authors demonstrate the usability of an algorithm to analyze complicated and noisy data, the so called TDA (topological data analysis) Ball Mapper. For their application, they use a set of anomalies from the asset pricing literature and visualize the multi dimensional data into a two dimensional abstract graph to spot patterns if relationships within the data. A fun and interesting way to interpret factors. In their visual interpretation high book-to-market stocks seem to yield below average return on equity, which should sound very familiar to the current crowd of value investors.
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