Analyst calls around earnings are scheduled quarterly for every publicly listed company, and similar conferences 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.
Parent/subsidiaries intelligence lets you traverse companies' ecosystem
while comentions signals enhance thematic searches (like “ESG”),
and keyword search (like “profitability”).
With proprietary machine learning algorithms, RavenPack
delivers entity, event, sentence, and document-level sentiment analytics,
including the evolution of document-level sentiment between transcripts.
Automate earnings call transcript analysis to capture time-sensitive opportunities.
Get Directionality Signals from the Rapid Analysis of Scheduled and Unexpected
Disclosures to Stay Ahead of Volatility.
Include Transcript Signal into Systematic Strategies, including
Earnings Intelligence Multi-Signal Approaches and
Equity Factor Investing.
Analyze Earnings Call Transcripts
to Guide Corporate Communication and Evaluate Competition.
Incorporating Earnings Calls transcript data increases IR to 1.4 for US Mid/Large Caps and 2.3 for Small Caps.
We explore the combination of earnings-related news and earnings call transcripts.
We find stronger, more predictable market reactions when the words of company executives agree with their actions.
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