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Modelling cross-sectional tabular data using convolutional neural networks: Prediction of corporate bankruptcy in Poland Cover

Modelling cross-sectional tabular data using convolutional neural networks: Prediction of corporate bankruptcy in Poland

Central European Economic Journal
Volume 8 (2021): Issue 55 (January 2021)
By:  and    
Open Access
|Nov 2021
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DOI: https://doi.org/10.2478/ceej-2021-0024 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
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Language: English
Page range: 352 - 377
Published on: Nov 27, 2021
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
convolutional neural networks,
machine learning,
simulation,
bankruptcy prediction,
financial indicators
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Microeconomics,
Macroeconomics,
Economic policy

© 2021 Aneta Dzik-Walczak, Maciej Odziemczyk, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 8 (2021): Issue 55 (January 2021)
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