AI-Driven Anomaly Detection in Stock Markets: Testing Market Efficiency with Machine Learning

Computational Economics 2026

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Authors: Vittorio Carlei, Donatella Furia, Piera Cascioli, Alessandro Ceccarelli
DOI: 10.1007/s10614-025-11274-8
Cited by: 0
References: 30

Fields of Study & Subjects

Stock Market Forecasting Methods Financial Markets and Investment Strategies Anomaly Detection Techniques and Applications

Publication details

Journal / source
Computational Economics
Publication date
19 January 2026
Language
EN