Text-implied uncertainty in 10-K filings: Do investors get the message?

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Authors: Oliver Budras, Maik Dierkes, Sebastian Schroen
Cited by: 0
References: 42

Abstract

We investigate the role of text-implied uncertainty in the cross-section of stock returns. We employ word embeddings to derive an uncertainty dictionary from 10-K annual company filings. Stocks in the highest uncertainty quintile generate a 0.281% higher monthly return compared to stocks in the lowest quintile. This outperformance survives risk-adjustment. Furthermore, uncertainty is negatively related to filing period abnormal returns. This information is priced within one day after filing. High-uncertainty companies have lower return-on-assets, unexpected earnings, and are less likely to increase dividends in the subsequent fiscal year. Uncertainty-averse investors demand a premium for holding high uncertainty stocks. • We use GloVe embeddings to derive an uncertainty metric in 10-K filings of companies. • Our uncertainty metric is orthogonalized towards risk and sentiment. • Uncertainty is priced with a significantly positive risk premium in the cross-section of stocks. • Filing period returns of high uncertainty stocks decrease within one day after the filing. • Finally, uncertainty is negatively related to future firm fundamentals.

Fields of Study & Subjects

Financial Markets and Investment Strategies Auditing Earnings Management Governance Financial Analysis and Corporate Governance

Publication details

Journal / source
The Quarterly Review of Economics and Finance
Volume
106
Pages
102121–102121
Publication date
28 January 2026
Language
EN