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Looking at the TA dataset more specifically, combining knowledge from other sources, we encounter a problem processing the data. For example, we observe a very strong correlation between two companies IDB Holding Corporation?, and ?Discount Investment Corporation? (IDC). Using public records about these two companies, we find that IDB owns 74.06% of the shares of IDC, and that the market value of these two companies is roughly the same (9 and 10 billions NIS, respectively). Due to the fact that the trade in the market is continuous, the traders are aware, at each moment, of the price of both companies and the relationship between them, so they see to it that these two prices match each other at all time. It is important to distinguish between a business similarity, which is the result of similar objectives or areas of interest, and between financial dependencies, which are the result of control and ownership of assets. We expect that if the majority of the assets of one company are the shares of a second company, any change in the second company will be immediately reflected in the first. Thus, we decided to exclude from our TA dataset five holding companies with more than 50% of their assets listed as stocks of a second company. For such companies, the observed high correlation between the two companies is trivial and does not produce any new meaningful information. These holding companies were excluded from our analysis, while the daughter companies were left in the dataset. The whole issue of the correlations between a holding company and its subsidiaries demands further research. Due to technical reasons, this screening of holding companies was not performed for the NYSE data, for the S&P 500 and DJIA datasets.
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