Capital market

Efficient-market hypothesis

Biology

Stock market

Market efficiency

Economics

Computer science

Anomaly (physics)

Business

Paleontology

Physics

Monetary economics

Value (mathematics)

Condensed matter physics

Horse

Financial economics

Finance

Machine learning

Journal of Financial Economics

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.

Security analysts and capital market anomalies