Cinder Xinde Zhang
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Researcher
Graduate Student Researcher
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Biography and Research Information
OverviewAI-generated summary
Cinder Xinde Zhang's research focuses on the application of artificial intelligence and multi-agent systems in financial analysis. Their work investigates the capabilities of AI in replicating or surpassing the performance of professional financial analysts. Zhang has published on topics including putable bonds, risk-shifting problems, and information asymmetry, and has explored AI's effectiveness in financial forecasting. Their research has involved collaboration with Austin Francis at the University of Arkansas at Fayetteville, with whom they have co-authored publications. Zhang's scholarly output includes three publications, accumulating 75 citations and an h-index of 1.
Metrics
- h-index: 1
- Publications: 3
- Citations: 75
Selected Publications
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Can AI Match Professional Analysts? Evidence from a Multi-Agent System (2025)
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Putable Bonds, Risk-Shifting Problems, and Information Asymmetry (2022)
Collaboration Network
Top Collaborators
- Putable Bonds, Risk-Shifting Problems, and Information Asymmetry
- Putable Bonds, Risk-Shifting Problems, and Information Asymmetry
- Can AI Match Professional Analysts? Evidence from a Multi-Agent System
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