时间：2020年12月4日（周五上午），10:00-11:00

地点：腾讯APP会议（会议号：请有意向参加的博士生和老师联系赵莹老师获取）

研讨会详细议程：10:00-11:00

报告：The Effects of Social Bias Against Female Analysts on Markets

报告人：古朴

摘要：I provide evidence for the effects of social bias on markets by studying female analysts. I find that the market reaction to female analysts’ forecasts is weaker and slower than that to male analysts’ forecasts. I also find that female analysts’ forecasts are more accurate and timely than those of male analysts. Taken together, these findings imply that female analysts are underestimated even if they have better forecasting ability than male analysts. This effect decreases when female analysts are attractive, increases when the covered firm’s CEO is male and is mediated by analysts’ self-confidence. These results emphasize three sources of social bias against female analysts: incompetence bias, immorality bias, and credit bias. I also employ two exogenous shocks to rule out alternative explanations and conduct robustness tests to further support my results. My findings thus highlight that social bias against females remains an issue that significantly affects the capital market.

报告人简介：

古朴，清华大学经济管理学院会计学博士研究生，获国家留学基金委资助赴新加坡管理大学访学资格。研究方向包括分析师预测，资本市场监管，公司信息披露，以及技术创新等。研究成果被Journal of Corporate Finance以及《管理世界》、《中国工业经济》等期刊发表或录用，担任Journal of Corporate Finance期刊的匿名审稿人。博士在校期间两次获得国家奖学金。