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Gender bias and female analyst performance: evidence from the #MeToo movement

delete2026-07-03
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PRE
AI
R
Rubin Hao
S
Shikong Scott Luo
J
Jing Xue *
H
Haoyi Yang
DOI:10.1007/s11142-026-09976-xdelete
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Abstract

Abstract

En 中文
This study investigates the impact of changing gender bias on the career advancement and forecasting performance of female analysts. By using the #MeToo movement as a shock to the prevailing gender-based discrimination, we find that women experience improvements in participation and promotion in the equity research profession. #MeToo has fostered a more gender-inclusive environment both in the brokerages where analysts work and the firms they cover, as evidenced by more performance based promotion assessments and improved access to management for female analysts. Female analysts’ forecast performance improves significantly after #MeToo, in terms of accuracy, frequency, timeliness, depth, and breadth. The improvement is more pronounced when the movement triggers heightened awareness of gender bias. Collectively, this study demonstrates how the #MeToo movement reduces gender bias in equity research profession and enhances female analyst performance.
Keywords:
Gender bias
Female analysts
Forecast performance
Career outcomes
Female participation

Journal

Review of Accounting Studies cover
Review of Accounting Studies
IF:
5.8
Papers:
1.0K
Citations:
6.4K

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F
Faculty of Business Administration
Scholars:
71
Papers: 53
Citations: 0
S
school of economics and management
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624
Papers: 332
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D
Department of Finance
Scholars:
64
Papers: 47
Citations: 0
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