Research Apps to Study Events
Events are at the center of various research phenomena - from M&A to organizational behavior. Several methods have been developed to study events and event sequences. EventStudyTools helps you deploy some of these methods through research apps. Figure 1 lays out which capabilities would be useful for event-centric research.
Figure 1: Research Apps for Event-Centric Research
Please find a short description of matching EST research apps below.
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The basic Abnormal Return Calculator (bARC) allows you to perform basic event studies without many options to set parameters. | Instructions |
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The advanced Abnormal Return Calculator (aARC) is an analysis tool for conducting sophisticated event studies with multiple event types. It produces a comprehensive set of statistics at the different analysis levels event studies imply. |
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The abnormal volume calculator (AVC) reveals whether or not the analyzed events led to additional, abnormal trading volumes. |
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The Event Date Identifier (EDI) is a regular expression-based tool that identifies dates within texts, such as press releases. Dates of events or decisions represent major inputs for event studies. The EDI was designed to identify such dates within large amounts of press releases. |
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The keyword-based computer-aided text analyzer (CATA) allows scanning for keywords in large amounts of texts. It was developed to support news analytics, the text analysis of corporate news streams. | Instructions |