时 间：2025年11月11日 15:00 -16:00
地 点：普陀校区理科大楼A1114
报告人：刘庆富 复旦大学经济学院教授
主持人：周勇 华东师范大学教授
摘 要：
This paper gives a systematic introduction to the technological underpinnings of big data and AI, with a focused analysis of their catalytic role in enhancing market analysis, risk management, and decision-making optimization. Using the identification of misinformation in financial markets as a case study, it presents a cutting-edge framework for constructing a Misinformation Index (MISI) based on textual big data and LLMs. This framework enables traceable analysis of the sources, themes, and impacts of misinformation, thereby facilitating the prediction of market behaviors and potential risks. Findings reveal that misinformation significantly distorts investor perception, amplifies market volatility, exacerbates crash risks, and undermines price discovery mechanisms. It further elucidates the critical importance of establishing trustworthy data and AI systems, proposing scientifically-grounded regulatory measures and targeted policy interventions to foster stable financial market development.
报告人简介：
刘庆富，复旦大学经济学院教授、博士生导师。东南大学管理科学与工程博士、复旦大学金融学博士后、美国斯坦福大学访问学者，2017入选“上海市浦江人才”计划。现任复旦-斯坦福中国金融科技与安全研究院执行院长，复旦-中植大数据金融与投资研究院学术副院长和上海市金融大数据联合创新实验室副主任和上海数学与交叉学科研究院访问教授。主要研究兴趣为金融科技、大数据金融、绿色金融及不良资产处置。曾在Journal of Econometrics、Management Science、Journal of International Money and Finance等国内外重要期刊发表论文100余篇，出版专著三部，主持国家自然科学基金委、科技部、教育部等课题30余项，研究成果多次获得会议最佳论文奖或一等奖，学术观点和访谈也被多家主流媒体刊登和转载。