- Highlights
- Leverage key fields, such as announce date, close date, and rumors reported in verified financial and trade publications to analyze deal activity and identify trends
- Track multiple versions of deals as terms change and deals evolve
- Access deal details collected from newswires, key financial publications, and newspapers, as well as annual reports, filings, and surveys
- Feed Coverage
Region Count Type Start Date Africa 12,000 Entities 1987 Asia 171,100 Entities 1980 Europe 336,600 Entities 1981 Latin America 19,900 Entities 1992 Middle East 7,200 Entities 1992 North America 335,600 Entities 1976 Pacific 28,500 Entities 1986 - Feed Details
- The FactSet Mergers data feed provides global merger and acquisition information for over 500,000 announced mergers, acquisitions, divestitures, and spin-offs involving both public and private companies. In addition to deal terms and details, this feed identifies participants, attitudes, and company details at the time of the announcement. Data Frequency: Event; Update Frequency: Daily.
- Firm Information
- FactSet creates data and technology solutions for investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. We combine our unique proprietary datasets, your in-house data, and third-party unstructured data to help you see and seize opportunity sooner.
- Community Discussion
Today we would like to inform you that we have made a major update for our emotional data API and released version 3 in February 2019. Additionally, to general improvements of stability and redundancy we have added some new and very interesting data sets. For more information just visit our websi...
We conducted a survey on Alternative Data demand during the https://advantage.factset.com/factset-buy-side-forum-tokyo-2019 FactSet Buy-Side Forum Tokyo last week. Not surprisingly, ESG tops the list among 18 categories as Japanese financial institutions began integrating ESG investment strategie...
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Working with Japanese Earnings Call Transcripts: StanfordNLP What open-source packages are you using in the NLP space? I had always found Python’s NLTK package easy to use. A recent https://medium.com/analytics-vidhya/introduction-to-stanfordnlp-an-nlp-library-for-53-languages-with-python-code-d7...
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