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Can NLP Measure A Company's Health?
What happens when you apply natural language processing techniques to company earnings call transcripts? Are actionable sentiment- and behavioral-based signals generated? Do those signals correlate to financial outcomes opening the door to stock selection? This session presents actionable insights from S&P Global Market Intelligence research on the critical interplay of NLP and financial data.
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Additional Supporting Materials
- Historically, sentiment- and behavioral-based signals have had incremental predictive power above and beyond common risk and alpha factors.
- Multi-factor strategies can yield composite signal that is more predictive yet with a lower volatility.
- Sentiment- and behavioral-based signals do not seem to be (overly) fast moving signals.
- Michael Patton, Senior Director , S&P Global Market Intelligence
Ben Reneker, Director, Technology Segment, S&P Global Market Intelligence