skip to content

Keynes Fund

 

Dominant male faces get more information

Research by Lin Peng, a Visiting Professor and Director of Research in Faculty of Economics has been featured in the Wall Street Journal.

Her research indicates that while forecasts of female analysts regardless of facial characteristics were on average more accurate than those of their male counterparts, the forecasts of women who were seen as more-dominant-looking were significantly less accurate than their male counterparts.

Meanwhile male analysts with ‘dominant’ faces get more information, and have better stock market forecasts. The research used facial impression data on a given analyst was then combined with an analysis of their earnings forecast accuracy dating as far back as 1990.

Facial Characteristic Analysis


Published on: Tuesday 9th May 2023

Tags:

Facial Recognition

Stock Market

Forecasts

Gender