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Machine learning-based classifiers ensemble for credit risk assessment

Pandey, Trilok Nath; Jagadev, Alok Kumar; Choudhury, D.; … - In: International journal of electronic finance : IJEF 7 (2013) 3/4, pp. 227-249

Persistent link: https://www.econbiz.de/10010400393

A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees

Golbayani, Parisa; Florescu, Ionuţ; Chatterjee, Rupak - In: The North American journal of economics and finance : a … 54 (2020), pp. 1-16

Persistent link: https://www.econbiz.de/10012665100

A hybrid classification-based model for automatic text summarisation using machine learning approaches : CBS-ID3MV

Hannah, M. Esther - In: International journal of product development : IJPD 23 (2019) 2/3, pp. 201-211

Persistent link: https://www.econbiz.de/10012105699

Generating buy/sell signals for an equity share using machine learning

Erkartal, Bugra; Ozdamar, Linet - In: Eurasian journal of business and economics : EJBE 11 (2018) 22, pp. 83-103

Persistent link: https://www.econbiz.de/10011943584

Fundamental factor models using machine learning

Sugitomo, Seisuke; Minami, Shotaro - In: Journal of mathematical finance 8 (2018) 1, pp. 111-118

Persistent link: https://www.econbiz.de/10011846158

Predicting earnings management through machine learning ensemble classifiers

Hammami, Ahmad; Zadeh, Mohammad Hendijani - In: Journal of forecasting 41 (2022) 8, pp. 1639-1660

Persistent link: https://www.econbiz.de/10013465733

Is artificial intelligence really more accurate in predicting bankruptcy?

Letkovský, Stanislav; Jeňcová, Sylvia; … - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-19

artificial intelligence (AI) has shown high success rates in classification tasks, it remains uncertain whether its use …

Persistent link: https://www.econbiz.de/10014502270

Predicting mortgage loan defaults using machine learning techniques

Krasovytskyi, Danylo; Stavytskyy, Andriy - In: Mokslo darbai / Vilniaus Universitetas 103 (2024) 2, pp. 140-160

Mortgage default prediction is always on the table for financial institutions. Banks are interested in provision planning, while regulators monitor systemic risk, which this sector may possess. This research is focused on predicting defaults on a one-year horizon using data from the Ukrainian...

Persistent link: https://www.econbiz.de/10015047688

Predicting the likelihood of dividend payment from Indonesian public companies with data mining methods

Kosala, Raymond - In: International journal of business information systems : … 26 (2017) 2, pp. 139-150

Persistent link: https://www.econbiz.de/10011856393

Machine learning on stock price movement forecast : the sample of the Taiwan stock exchange

Huang, Chin-sheng; Liu, Yi-Sheng - In: International journal of economics and financial issues … 9 (2019) 2, pp. 189-201

Persistent link: https://www.econbiz.de/10012149403

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