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北大数字金融Workshop第八讲讲座预告 Lin Peng, Baruch Zicklin
- 来源：
- 学校官网
- 收录时间：
- 2026-06-25 18:39:48
- 时间：
- 2026-06-02 09:00:00
- 地点：
- 报告人：
- Lin Peng
- 学校：
- 北京大学
- 关键词：
- AI, Generative AI, Finance, Social Media, Behavioral Finance, FinTech, Sentiment Analysis, Market Efficiency, Trading Behavior
- 简介：
- Generative AI use for content generation is associated with divergent outcomes on different financial social media platforms: indications of reasoning enhancement on Seeking Alpha, and of belief distortions on WallStreetBets. On Seeking Alpha, adoption is associated with information frictions. AI-assisted postings tilt toward analysis/credibility, and their sentiment positively predicts future returns. Use of AI is associated with more informative retail order flow and lower bid-ask spreads. In contrast, AI adoption on WallStreetBets follows surges in retail buying, and AI-assisted content is associated with emotionality and sentiment contagion. Such content precedes higher trading volume, greater volatility, and more lottery-like return distributions.
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报告介绍：
This presentation explores the divergent impacts of generative AI on financial social media platforms, comparing its role in enhancing analytical reasoning on Seeking Alpha versus amplifying emotional contagion and belief distortions on WallStreetBets. The study investigates how AI-assisted content influences investor behavior, market efficiency, trading volume, and return patterns across these platforms.
报告人介绍：
Lin Peng is the Krell Chair Professor of Finance at Baruch College, The City University of New York, and an Associate Editor for Management Science, Journal of Financial and Quantitative Analysis, and the Journal of Empirical Finance. She is a visiting scholar at Princeton University and serves on the Management Committee for the Keynes Fund at the University of Cambridge, as Director of the Program on Finance and Sustainability at the Zicklin Center for Corporate Integrity, and as a member of the New York City Panel on Climate Change. Her research spans social networks, behavioral finance, FinTech, AI, and sustainable finance. Her work has been published in leading academic journals such as the American Economic Review, Journal of Finance (lead article), Review of Financial Studies, Journal of Financial Economics, Journal of Financial and Quantitative Analyis, Management Science, Review of Finance, and Journal of Accounting Research (top downloaded article), and has been featured in The Wall Street Journal, Financial Times, Washington Post, Newsweek, and Reuters, among others. She was named an AACSB Influential Leader in 2024. She received an MA in Biology from Wesleyan University and a Ph.D. in Finance from Duke University.
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