Investment decision makers are constantly on the lookout for an edge. Natural language processing (NLP) brings both scale and speed to investing. NLP techniques can be used to analyze a variety of data sources, including company news, earnings calls, and even social media. The output from these models can be used for stock selection with varying time horizons and degrees of alpha capture. Join this webinar to explore these machine learning techniques to analyze global earnings calls.

Learning outcomes:

• Compare the different approaches to NLP in the market, including machine learning and FinBERT.
• Learn how to analyze a tsunami of global earnings calls accurately in milliseconds.
• Review ways to quickly pinpoint positive versus negative calls, identify the biggest themes from a call, and distinguish earnings winners from losers.
• Discuss how to gain a unique information edge and increase alpha.

This is the archived version of a live webinar that took place on 24 March 2022