Study tests whether financial sentiment tools validate the same way for labels and market signals

A new arXiv paper examines a common assumption in financial NLP: that a sentiment model validated against human annotations can be trusted to extract market signals. The authors measure both objectives in a setting where they can be compared directly, finding that the two evaluations do not necessarily capture the same thing. The work suggests sentiment tools may need separate validation depending on whether they are used for labeling text or predicting prices.