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Helios Comprehend

A dataset by Helios
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Helios Comprehend

Use Cases

Market Research Natural Language Processing (NLP)
Portfolio Management
Investment Management
Sentiment Analysis

Geography

North America (1)
United States of America

Categories

History

15 years of past data available

Product Description

Helios Comprehend provides quantitative data that helps quants improve their trading strategies, and qualitative summaries that help fundamental researchers improve their insights into specific equities. Helios comprehend extracts 104 characteristics from an executive’s voice (e.g., pitch, tone, rhythm) on the millisecond level, and detects specific deviations in them that are indicative of a discrepancy between the executive’s understanding of the firm and the statements he/she is making about it. Our data predict some aspects of the immediate reaction of the market (e.g., immediate volatility r=0.10), the reaction of the analysts (in particular the earnings surprise, r=0.07), as well as several future performance indicators of the firm (e.g., ROE r=0.15, Tobin’s q r=0.18, debt/asset ratio r=0.10). API live data is available for clients on a 4-hour delay post earnings call. This research comes from a historical dataset covering 63,126 audio recordings of earnings calls (2005 – 2020) from 1,227 different equities that represent the Russell 1000, delivery of 104 pre-processed voice features. There is no survivorship bias in the data. Russell 3000 coverage also available upon request.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Pricing

Helios has not published pricing information for this product yet. You can request detailed pricing information below.

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