معرفی
Chukwuma Dim is a researcher affiliated with George Washington University, focusing on Finance, Financial Economics, and Behavioral Economics. His work leverages machine learning and textual analysis to study market microstructure, investor disagreement, and the impact of social finance on financial outcomes.
Research Themes:
- Quantifying nonstandard errors in multi-analyst studies
- Modeling 0DTE options and volatility propagation
- Analyzing social media narratives for belief formation
- Developing news-implied credit risk indicators
- Exploring factor investing with endogenous uncertainty
Recent Trends: His publications (2020–2025) emphasize LLMs for investor disagreement detection, gamma risk in short-term options, and gender bias in crowd-sourced financial data. Collaborations span institutions like Frankfurt School of Finance & Management and European Investment Bank.
۰مقاله ثبتشده
