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Economics, Econometrics and Finance› Finance› Financial Markets and Investment Strategies

Financial economics — News-headline sentiment (TextBlob, VADER, FinBERT) as a stock market predictor

Submitted 2026-10-22

Field: Economics, Econometrics and Finance › FinanceType: No effect foundArea: financial economicsTarget: News-headline sentiment (TextBlob, VADER, FinBERT) as a stock market predictorStage: full study

Hypothesis

Sentiment extracted from news headlines would carry predictive power for stock market direction and returns that could be exploited.

What failed

Across about 1.86 million headlines, explicit sentiment scores, even split into firm-specific and non-firm-specific parts, lacked robust predictive power; neither FinBERT sentiment, past returns nor implied volatility gave a consistently exploitable edge. Only weekend and holiday sentiment carried a modest signal.

Broken assumption

Public news sentiment contains return-relevant information that prices have not already absorbed.

Why

The authors note most news content is neutral or objective, and that markets appear to anticipate rather than react; they read the results as support for weak- and semi-strong-form market efficiency.

From the published paper: Davidović et al. Journal of risk and financial management, 2025. ↗CC BY

Research ideas from this failure

Unvetted lead — read the papers

New hypotheses this failure suggests, each with a crucial experiment, a rival explanation of the original result, and the papers it rests on. Written by AI from paper titles and abstracts found on OpenAlex (and Europe PMC, for life and health sciences).

Related failures

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Links in published research

Where this experiment's genes are known to matter outside its own research area, and the papers behind those links. Sources: Open Targets Platform and Europe PMC.