3 ways NLP can help uncover more alpha during Earnings Season

February 17, 2022

With hundreds of companies holding their earnings conference calls on the same day, it is hard to keep up. Natural Language Processing (NLP) is the trump card for analysts and investors to capture alpha in Earnings Season.

Every quarter, the couple of weeks that constitute Earnings Season continues to afford substantial opportunities to harness alpha, but with hundreds of companies holding their earnings conference calls on the same day, analysts and investors are left with no choice but to prioritize their attendance — a decision that hampers their ability to capture the full breadth of short-term opportunities. Natural Language Processing (NLP) can help.

We review the 3 aspects that would make a difference according to our recent research.

  1. Optimizing the timeline to capture fast-moving opportunities.

  2. Filtering out the spin to detect ominous variations in corporate language transparency.

  3. Leveraging Sentiment analysis so multiple signals can shine a light from different angles.

Get the report to find out how NLP can help you to capture more alpha in the Earnings Season.

About RavenPack Edge

RavenPack Edge tracks over 7,000 key business, geopolitical and macroeconomic events across 7.1 million companies, 4.5 million individuals, and 60,000 products and services. Using proprietary natural language processing technology powered by heuristic and machine learning engines, sentiment data is derived from over 40,000 sources including news, filings and transcripts in 13 languages.

About RavenPack

RavenPack is the leading data analytics provider for financial services. The company's clients include the most successful hedge funds, banks, and asset managers in the world.

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