arXivML & AI Methods
Quantifying A Firm's AI Engagement: Constructing Objective, Data-Driven, AI Stock Indices Using 10-K Filings
A new method using natural language processing (NLP) has been suggested for classifying AI stocks, providing a cost-effective alternative that outperforms existing AI-themed ETFs.
Featured in No. 81 on 8 Jan 2025 · 5 days after release · 17 citations today · published in Technological forecasting & social change
- Released
- 3 Jan 2025
- First featured
- No. 81 · 8 Jan 2025
- Citations (Semantic Scholar)
- 17
- Influential citations
- 0
- Published in
- Technological forecasting & social change
- Shares when featured
- 20
- Identifier
- doi:10.1016/j.techfore.2024.123965
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).