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Predicting stock market using natural language processing

Puh, Karlo; Bagić Babac, Marina - In: American journal of business 38 (2023) 2, pp. 41-61

Persistent link: https://www.econbiz.de/10014342260

An exploratory comparison of stock price prediction : using multiple machine learning approaches based on global stock indices

Lin, Chin Yang; Lobo Marques, Joao Alexandre - In: Entrepreneurship, Innovation, and Technology : A …, (pp. 317-336). 2024

Persistent link: https://www.econbiz.de/10015142234

An empirical assessment of the contagion determinants in the Euro area in a period of sovereign debt risk

Altınbaş, Hazar; Pacelli, Vincenzo; Sica, Edgardo - In: Italian economic journal : official peer-reviewed … 8 (2022) 2, pp. 339-371

Persistent link: https://www.econbiz.de/10013438547

Financial time series forecasting in the artificial intelligence domain : learning through the lens of time

Wet, Milan C. de; Ilse, Botha - In: Artificial Intelligence in Accounting, Auditing and …, (pp. 189-208). 2025

Persistent link: https://www.econbiz.de/10015407241

An investigation of Frequentist and Ensemble Bayesian-aided techniques for prioritizing anomaly detection methods in time-series data

Divakaran, Vignesh; Rana, Vipasha - 2025

Accurately detecting anomalous points in time-series data is critical, as false positives can mislead business stakeholders, waste valuable resources, and diminish the overall impact of the detection system. While various statistical and machine learning techniques are employed to flag potential...

Persistent link: https://www.econbiz.de/10015420328