Abstract
We examine the value and efficiency of analyst recommendations through the lens of capital market anomalies. We find that analysts do not fully use the information in anomaly signals when making recommendations. Analysts tend to give more favorable consensus recommendations to stocks classified as overvalued and, more important, these stocks subsequently tend to have particularly negative abnormal returns. Analysts whose recommendations are better aligned with anomaly signals are more skilled and elicit stronger recommendation announcement returns. Our findings suggest that analysts’ biased recommendations could be a source of market friction that impedes the efficient correction of mispricing. © 2020 Elsevier B.V.
| Original language | English |
|---|---|
| Pages (from-to) | 204-230 |
| Journal | Journal of Financial Economics |
| Volume | 137 |
| Issue number | 1 |
| Online published | 28 Jan 2020 |
| DOIs | |
| Publication status | Published - Jul 2020 |
| Externally published | Yes |
Funding
K. C. John Wei acknowledges financial support from the Research Grants Council of the Hong Kong Special Administrative Region, China (GRF15503517).
Research Keywords
- Analysts
- Analyst recommendations
- Anomalies
- Mispricing
- Market efficiency
RGC Funding Information
- RGC-funded
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