建议(编程)
业务
财务
金融体系
计算机科学
程序设计语言
作者
Utpal Bhattacharya,Аміт Кумар,Sujata Visaria,Jing Zhao
出处
期刊:Social Science Research Network
[Social Science Electronic Publishing]
日期:2020-01-01
被引量:10
摘要
Trained undercover men and women posed as potential clients and visited all 65 local financial advisory firms in Hong Kong. We find that women are more likely than men to receive advice to buy only individual or only local securities. This effect is significant for financial planners, but not for securities firms. Women who signal that they are highly confident, highly risk tolerant, or have a domestic outlook, are especially likely to receive suboptimal advice. Our theoretical model interprets these patterns as an interaction between statistical discrimination and advisors’ incentives. Taste-based discrimination is unlikely to explain the results.
科研通智能强力驱动
Strongly Powered by AbleSci AI