Cookies?
Library Header Image
LSE Research Online LSE Library Services

Information dispersion across employees and stock returns

Agrawal, Ashwini, Hacamo, Isaac and Hu, Zhongchen (2020) Information dispersion across employees and stock returns. Financial Markets Group Discussion Papers (792). Financial Markets Group, The London School of Economics and Political Science, London, UK.

[img] Text (DP792) - Published Version
Download (594kB)

Abstract

Rank-and-file employees are becoming increasingly critical for many firms, yet we know little about how their employment dynamics matter for stock prices. We analyze new data from the individual CV's of public company employees, and find that rank-and-file labor flows can be used to predict abnormal stock returns. Accounting data and survey evidence indicate that workers' labor market decisions reflect information about future corporate earnings. Investors, however, do not appear to fully incorporate this information into their earnings expectations. The findings support the hypothesis that rank-and-file employees' entry and exit decisions convey valuable insight into their employers' future stock performance.

Item Type: Monograph (Discussion Paper)
Official URL: https://www.fmg.ac.uk/
Additional Information: © 2020 The Authors
Divisions: Finance
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HG Finance
JEL classification: G - Financial Economics > G0 - General > G00 - General
G - Financial Economics > G1 - General Financial Markets > G10 - General
G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing; Trading volume; Bond Interest Rates
G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency; Event Studies
G - Financial Economics > G3 - Corporate Finance and Governance > G30 - General
Date Deposited: 31 May 2023 08:30
Last Modified: 16 Sep 2023 00:00
URI: http://eprints.lse.ac.uk/id/eprint/118922

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics