Financial Report Database and Analysis Public
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The goals of this project were to produce a research database of financial documents for Angelo Gordon to support the firm in deciding their future investments and to simplify the comparison and analysis of these documents. Using a combination of Python and R programming, we created a central structured database of financial reports containing information regarding both public and private companies. We simplified the analysis process by automating the extraction of specific values from some PDF reports of public companies. We demonstrated the extraction by testing it on a representative set of reports from 13 companies. This project will significantly reduce the time an investment analyst needs to collect and review large amounts of information.
- Date created
- New York
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Permanent link to this page: https://digital.wpi.edu/show/05741t26w