Asset Pricing in the Information Age: Employee Expectations and Stock Returns

63 Pages Posted: 31 Jan 2019

See all articles by Jinfei Sheng

Jinfei Sheng

University of California, Irvine - Paul Merage School of Business

Date Written: January 21, 2019

Abstract

This paper studies the value of employees' expectations to stock markets, using a novel dataset of one million employee reviews. Employee beliefs about their employers' business prospects predict future returns at one- to five-month horizons, delivering an annualized abnormal return of 7% to 9%. Employee reviews are related to firms' fundamentals because they predict cash flow news. In addition, the reviews predict future trading activities by hedge funds and corporate insiders. Overall, this paper highlights that crowdsourced platforms can aggregate massive amounts of data and generate investment-relevant signals that are superior to more traditional sources.

Keywords: Big data, social media, employee expectations, stock returns, machine learning, textual analysis

JEL Classification: G14

Suggested Citation

Sheng, Jinfei, Asset Pricing in the Information Age: Employee Expectations and Stock Returns (January 21, 2019). Available at SSRN: https://ssrn.com/abstract=3321275 or http://dx.doi.org/10.2139/ssrn.3321275

Jinfei Sheng (Contact Author)

University of California, Irvine - Paul Merage School of Business ( email )

4291 Pereira Dr
Irvine, CA 92697
United States

HOME PAGE: http://sites.google.com/site/shengjinfei/

Register to save articles to
your library

Register

Paper statistics

Downloads
79
rank
295,306
Abstract Views
355
PlumX Metrics