Name
Forecasting Corporate Bankruptcy More Accurately: The Role of Employee Insights
Date & Time
Tuesday, July 7, 2026, 10:15 AM - 10:40 AM
Description
This paper explores the role of employee reviews posted on Glassdoor.com, a social media platform, in predicting corporate bankruptcy. Using a sample of firms that filed for bankruptcy over the 2012–2022 period, we find that the following variables extracted from employee reviews offer significant explanatory power in predicting corporate bankruptcy: an employee’s rating of their employer’s business outlook; concerns about an employer’s going concern and level of debt; the linguistic tone of reviews; and the number and length of reviews. Moreover, the predictive ability of employee opinion-related variables is incremental to not only financial ratios but also market-based variables. We find that the incremental predictive ability of employee opinion-related variables remains significant three years prior to bankruptcy.
Speakers
Keywords
bankruptcy prediction, employee review, discrete time hazard analysis, logistic regression
Theme
CORPORATE FINANCE
Author 1
Ganghua (Tim) Wang
Author 2
Yi Wu
Author 3
Stewart Jones