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Intraday market predictability : a machine learning approach

Huddleston, Dillon; Liu, Fred; Stentoft, Lars - In: Journal of financial econometrics 21 (2023) 2, pp. 485-527

Persistent link: https://www.econbiz.de/10014314759

Forecasting loan default in Europe with machine learning

Barbaglia, Luca; Manzan, Sebastiano; Tosetti, Elisa - In: Journal of financial econometrics 21 (2023) 2, pp. 569-596

Persistent link: https://www.econbiz.de/10014314761

Big data financial transactions and GDP nowcasting : the case of Turkey

Barlas, Ali B.; Mert, Seda Guler; Isa, Berk Orkun; … - In: Journal of forecasting 43 (2024) 2, pp. 227-248

Persistent link: https://www.econbiz.de/10014475297

Predicting firm exits with machine learning : implications for selection into COVID-19 support and productivity growth

Davies, Lily; Kattenberg, Mark; Vogt, Benedikt - 2023

Persistent link: https://www.econbiz.de/10014227181

Machine learning-based business risk analysis for big data : a case study of Pakistan

Nazir, Mohsin; Butt, Zunaira; Sabah, Aneeqa; Yaseen, Azeema - In: International journal of computational economics and … 14 (2024) 1, pp. 23-41

Persistent link: https://www.econbiz.de/10015062773

Classification of potential electric vehicle purchasers : a machine learning approach

Bas, Javier; Cirillo, Cinzia; Cherchi, Elisabetta - In: Technological forecasting & social change : an … 168 (2021), pp. 1-13

Persistent link: https://www.econbiz.de/10012802145

Predicting and improving patient-level antibiotic adherence

Rao, Isabelle; Shaham, Adir; Yavneh, Amir; Kahana, Dor; … - In: Health care management science : a new journal serving … 23 (2020) 4, pp. 507-519

Persistent link: https://www.econbiz.de/10012426467

A machine learning approach to predicting bicycle demand during the COVID-19 pandemic

Baumanis, Carolina; Hall, Jennifer; Machemehl, Randy - In: Research in transportation economics 100 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014456400

Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application

Goel, Himanshu; Som, Bhupender Kumar - In: Economia : revista da ANPEC 24 (2023) 1, pp. 134-146

Purpose This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011-February 2020) and during the COVID-19 (March 2020-June...

Persistent link: https://www.econbiz.de/10014418102

Impactful messaging : elite sentiment in Chinese new energy vehicle vs machine learning perspective

Gong, Xingyue; Jia, Guozhu - In: Finance research letters 57 (2023), pp. 1-8

Persistent link: https://www.econbiz.de/10014526661