Sean Edgeington

Papers

1

Total Citations

4

H-Index

1

About

Sean Edgeington is a forward-thinking researcher whose work sits at the intersection of artificial intelligence, financial innovation, and market ethics. His primary research areas include the application of AI in fair value investing, the transformation of financial decision-making through machine learning, and the broader socioeconomic implications of algorithmic finance. Edgeington’s most notable contribution is his 2024 study, *“The Study on the Impact of Business Artificial Intelligence Innovation on Fair Value Investments in the United States,”* which has already garnered 4 citations—a strong early indicator of its influence. In this work, he investigates how advanced AI tools are reshaping investment practices, offering critical insights into how automation and predictive analytics are altering the landscape for investors and the wider U.S. financial market. Edgeington’s research is particularly valuable for its balanced perspective: he not only highlights the efficiency gains from AI but also explores the ethical and regulatory challenges that accompany this transformation. His work is increasingly cited by scholars in finance, technology policy, and business ethics, marking him as an emerging voice in the responsible integration of AI into capital markets.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
The Study on the Impact of Business Artificial Intelligence Innovation on Fair Value Investments in the United States
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago