Anticipate the market impact of earnings calls based on the historical relationship between a company’s language and corresponding market activity.
Incorporate standardized scores that indicate a positive or negative outlook relative to the market benchmark.
Access analytics generated immediately after call transcripts become available, including scores of entire earnings calls, as well as scores for the individual components of each call, e.g. company presentation, analyst Q&A.
Using a combination of natural language processing and machine learning, the Liquidnet IA Equity Sentiment Analytics Data Feed delivers comprehensive, unbiased, quantitative analysis of corporate earnings calls from nearly 3,000 publicly traded companies in the U.S. Corporate language is parsed and converted to quantitative data that allows investment professionals to forecast market outcomes. Data Frequency: Event-Driven; Update Frequency: Daily
Liquidnet is a technology-driven, global institutional investment network that intelligently connects the world’s investors to the world’s investments. Since our founding in 1999, our network has grown to include more than 1,000 institutional investors that collectively manage $33 trillion in equity and fixed income assets.
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