Bankruptcy Prediction Using Machine Learning

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ISSN Print: 2162-2434
ISSN Online: 2162-2442

Website: https://www.scirp.org/journal/jmf/
E-mail: jmf@scirp.org

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Submission

"Bankruptcy Prediction Using Machine Learning"
written by Nanxi Wang,
published by Journal of Mathematical Finance, Vol.7 No.4, 2017

has been cited by the following article(s):

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[1]	A Comprehensive Review of Corporate Bankruptcy Prediction in Hungary
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[2]	Bankruptcy Prediction Using Stacked Auto-Encoders
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[3]	PROPENSITY TO CHURN IN BANKING: WHAT MAKES CUSTOMERS CLOSE THE RELATIONSHIP WITH A BANK?
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[4]	Bankruptcy prediction using deep learning approach based on borderline SMOTE
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[5]	Models for Predicting Business Bankruptcies and Their Application to Banking and to Financial Regulation
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[6]	A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction
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[7]	Bankruptcy Prediction of a New Data Set of Companies in Norway
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[8]	A Comparative Study of Machine Learning Algorithms As an Audit Tool in Financial Failure Prediction
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[9]	Role and Performance of Different Traditional Classification and Nature-Inspired Computing Techniques in Major Research Areas
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[10]	Firms Default Prediction with Machine Learning
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[11]	Bankrupcy Risk Forecast Based on Company Balance Sheet Data Using Machine Learning
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[12]	Makine ??renmesi Kullan?larak ?irket Bilan?o Verilerine Dayal? ?flas Riski Tahmini Bankruptcy Risk Forecast Based on Company Balance Sheet Data Using Machine Learning
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[13]	A csődelőrejelzés fejlődéstörténete Magyarországon= Historical development of Hungarian bankruptcy prediction
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[14]	A CSŐDELŐREJELZÉS FEJLŐDÉSTÖRTÉNETE MAGYARORSZÁGON.
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[15]	Öznitelik Seçim Yöntemleri ve Makine Öğrenmesi Kullanarak Şirket Bilanço Verilerine Dayalı İflas Riski Tahmini
	Türkiye Bili?im Vakf? Bilgisayar Bilimleri ve Mühendisli?i Dergisi, 2019

[16]	Research in the Age of Big Data......... David M. Parker, 703
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[17]	Models for Predicting Business Bankruptcies and Their Application to Banking and Financial Regulation
	2018

[18]	Predicting financial distress for Romanian companies
	2018

[19]	MACHINE LEARNING IN BANKRUPTCY PREDICTION–A


[20]	A CSŐDELŐREJELZÉS FEJLŐDÉSTÖRTÉNETE MAGYARORSZÁGON HISTORICAL DEVELOPMENT OF HUNGARIAN BANKRUPTCY PREDICTION

[1]	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

[2]	Bankruptcy Prediction Using Stacked Auto-Encoders Applied Artificial Intelligence, 2020 DOI:10.1080/08839514.2019.1691849

[3]	Mining Data for Financial Applications Lecture Notes in Computer Science, 2020 DOI:10.1007/978-3-030-37720-5_4

[4]	A Comprehensive Review of Corporate Bankruptcy Prediction in Hungary Journal of Risk and Financial Management, 2020 DOI:10.3390/jrfm13020035

[5]	Advances in Computational Intelligence and Informatics Lecture Notes in Networks and Systems, 2020 DOI:10.1007/978-981-15-3338-9_30

[6]	Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE Information Systems Frontiers, 2020 DOI:10.1007/s10796-020-10031-6

[7]	Models for Predicting Business Bankruptcies and Their Application to Banking and to Financial Regulation SSRN Electronic Journal , 2019 DOI:10.2139/ssrn.3329147

[8]	A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction Complexity, 2019 DOI:10.1155/2019/8682124

[9]	PREDICTING FINANCIAL DISTRESS FOR ROMANIAN COMPANIES Technological and Economic Development of Economy, 2018 DOI:10.3846/tede.2018.6736