The RavenPack Transcripts dataset is derived from a global transcripts archive that dates back to 2003. It covers 20,000 publicly-listed companies in the Americas and EMEA, including 2,000+ in Japan, China, Hong Kong, and South Korea.
Analyst calls around earnings are scheduled quarterly for most publicly listed companies, and similar conference calls cover activities including mergers and acquisitions, or CEO changes. Each disclosure may reveal information that materially impacts company strategy or stock valuation, but reviewing transcripts is time-consuming.
RavenPack measures the sentiment and identifies market-moving events in every transcribed earnings call and industry conference. Users can leverage a proprietary taxonomy of over 7,000 business relevant topics to navigate transcripts across thousands of companies and over 20 years of records.
A knowledge graph with over 12 million entities connecting companies, people, products, facilities, and locations is also available to find unique insights.
RavenPack Research has identified playbooks that use earnings intelligence in transcripts data for alpha generation, from equities to corporate bonds, and macro strategies.
For every entity and event detected in a story, RavenPack provides analytics including:
- Sentiment scores
- Relevance metrics
- Novelty tracking
- Temporal scoring
- Topic tagging
For more information, please visit https://www.ravenpack.com/products/edge/data/transcripts