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