主题：Data Scientists on Wall Street
主讲人：韩冰，德州扑克大小-德州扑克攻略
特聘教授、多伦多大学罗特曼管理德州扑克大小
金融系教授
时间：3月12日（周三）上午10:00-11:30
地点：4-101教室
语言：英文
摘要：
Financial institutions have significantly increased their recruitment of data scientists in the last two decades. We find that the number of data scientists employed by financial institutions causally affects their ability to earn abnormal profits. Data scientists’ ability to generate abnormal profits on a stock is positively correlated to the concentration of data scientists across all institutional investors holding the stock. Institutional investors strategically adjust portfolio allocation and recruitment decisions to maximize the benefits generated by their data scientists. Consistent with the notion that the competition among data scientists speeds up the production and trade of private information, we also show that the concentration of data scientists covering a stock reduces its price informativeness in the capital market.
主讲人介绍：
Bing Han is a Professor of Finance and the TMX Chair in Capital Markets at Rotman. His research focuses on Behavioral Finance, Investments, and Asset Pricing. He has published in top finance and economics journals as well as practitioner oriented journals. His research has been presented at many international and national conferences, and featured in mainstream media. He has taught both undergraduate and graduate courses at the University of Chicago, Ohio State University and University of Texas at Austin. He has also worked for J.P. Morgan and served on the advisory board of a hedge fund.
