Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-09-26
E
Research Areas
Biography and Research Information
OverviewAI-generated summary
Elias Thorne-Smith's research focuses on the application of artificial intelligence to model investor behavior and understand market sentiment dynamics. His work investigates how AI can be used to analyze complex financial data and predict trends within markets. Thorne-Smith's recent publication in 2026 addresses these themes, indicating ongoing activity in this area of study.
Metrics
- Publications: 1
Selected Publications
-
Artificial Intelligence for Modeling Investor Behavior and Market Sentiment Dynamics (2026)
Collaboration Network
Top Collaborators
Sarah Katherine O’Donnell
University of Nevada, Reno (US)
1 shared publication
- Artificial Intelligence for Modeling Investor Behavior and Market Sentiment Dynamics
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