Machine Learning Methods of Bankruptcy Prediction Using Accounting Ratios

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Open Journal of Business and Management

ISSN Print: 2329-3284
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"Machine Learning Methods of Bankruptcy Prediction Using Accounting Ratios"
written by Yachao Li, Yufa Wang,
published by Open Journal of Business and Management, Vol.6 No.1, 2018

has been cited by the following article(s):

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[18]	Analysis of the Effect of Governance and Research and Development on Probability of Default
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[20]	Research Article Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach
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[1]	Predicting bankruptcy of firms using earnings call data and transfer learning PeerJ Computer Science, 2023 DOI:10.7717/peerj-cs.1134

[2]	Corporate governance and financial distress: lessons learned from an unconventional approach Journal of Management and Governance, 2023 DOI:10.1007/s10997-022-09643-8

[3]	Corporate governance and financial distress: A review of the theoretical and empirical literature International Journal of Finance & Economics, 2022 DOI:10.1002/ijfe.2752

[4]	AI-enabled Enterprise Information Systems for Manufacturing Enterprise Information Systems, 2022 DOI:10.1080/17517575.2021.1941275

[5]	Corporate governance and financial distress: lessons learned from an unconventional approach Journal of Management and Governance, 2022 DOI:10.1007/s10997-022-09643-8

[6]	Corporate governance and financial distress: A review of the theoretical and empirical literature International Journal of Finance & Economics, 2022 DOI:10.1002/ijfe.2752

[7]	Bankruptcy Risk Factors of Russian Companies Finance: Theory and Practice, 2022 DOI:10.26794/2587-5671-2022-26-6-131-155

[8]	Can board diversity predict the risk of financial distress? Corporate Governance: The International Journal of Business in Society, 2021 DOI:10.1108/CG-06-2020-0252

[9]	A Review of Contribution and Challenge in Predictive Machine Learning Model at Financial Industry Journal of Physics: Conference Series, 2020 DOI:10.1088/1742-6596/1477/3/032021

[10]	Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach Advances in Fuzzy Systems, 2020 DOI:10.1155/2020/8028019

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