Natural Language Processing for Earnings Call Analysis
Leveraging transformer models to extract sentiment and forward-looking signals from corporate earnings calls.
INFIDEA / RESEARCH
Explore the intersection of data, technology and markets. From quantitative models to a wider macro perspective.
THE RESEARCH LIBRARY
2 publications
Sample content illustrating research topics and the reading experience. Not investment advice.
Leveraging transformer models to extract sentiment and forward-looking signals from corporate earnings calls.
Evaluating the signal content and decay characteristics of various alternative data sources.
AREAS OF EXPLORATION
Test market hypotheses through statistical and econometric methods.
Explore signals across different sources of data.
Connect policy, economic cycles and cross-asset perspectives.
Understand extreme scenarios and the limits of a model.
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