Bankruptcy Prediction Using Machine Learning

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Journal of Mathematical Finance

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

[1]	Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction
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[2]	Ensemble Machine Learning Approach to Bankruptcy Prediction
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[3]	Use of machine learning in bankruptcy prediction with highly imbalanced datasets: The impact of sampling methods
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[4]	Machine Learning based efficient Bankruptcy Prediction Model
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[7]	Bankruptcy Prediction Using Machine Learning: A New Technological Approach to Prevent Corporate Bankruptcy Through Well Deployed Streamlit Based Application
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[8]	Improve Default Prediction in Highly Unbalanced Context
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[9]	Machine-learning enabled construction of temperature-strain phase diagrams of ferroelectric thin films
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[10]	A detailed study for bankruptcy prediction by machine learning technique
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[11]	A Comparison of Static, Dynamic and Machine Learning Models in Predicting the Financial Distress of Chinese Firms
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[12]	Comparison of Bankruptcy Prediction Models Using Support Vector Machine and Artificial Neural Network
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[13]	Predicting cash holdings using supervised machine learning algorithms
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[14]	Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction
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[15]	A comparison of static dynamic and machine learning models in predicting the financial distress of Chinese firms
	Romanian Journal of Economic Forecasting, 2022

[16]	Will it fail and why? A large case study of company default prediction with highly interpretable machine learning models
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[17]	Essays on Corporate Bankruptcy and Debtor-in-possession Financing
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[18]	Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning
	… of Electrical and Computer Engineering (IJECE …, 2021

[19]	Systematic Literature Review: Bankruptcy Prediction Menggunakan Teknik Machine Learning dan Deep Learning
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[20]	Machine Learning Based Algorithm for Bank Loan Predictive Analysis
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[21]	Predicting the Discontinuity of Non-Profit Organizations Using the Machine Learning Approach
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[22]	Prediction of the Disappearance of Companies From the Market in Bogotá, Colombia Using Machine Learning
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[23]	Российский институт банкротства в условиях его правовой трансформации
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[25]	Прогнозирование банкротства методами машинного обучения
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[26]	Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning.
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[28]	Predicting Dividend Payout Policy of Turkish Firms Using XGBOOST and MLNN Algorithms
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[30]	A Detailed Study for Bankruptcy Prediction by Machine Learning
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[35]	Efficiency of LightGBM technique in Bankrupty Prediction using Polish dataset
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[36]	Bankruptcy Prediction Using Stacked Auto-Encoders
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[37]	A Comprehensive Review of Corporate Bankruptcy Prediction in Hungary
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[38]	Bankruptcy prediction using deep learning approach based on borderline SMOTE
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[39]	PROPENSITY TO CHURN IN BANKING: WHAT MAKES CUSTOMERS CLOSE THE RELATIONSHIP WITH A BANK?
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[40]	MACHINE LEARNING IN BANKRUPTCY PREDICTION–A
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[41]	Machine Learning in Bankruptcy Prediction–a Review
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[42]	Bankruptcy Prediction of a New Data Set of Companies in Norway
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[43]	A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction
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[44]	Research in the Age of Big Data......... David M. Parker, 703
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[45]	A CSŐDELŐREJELZÉS FEJLŐDÉSTÖRTÉNETE MAGYARORSZÁGON HISTORICAL DEVELOPMENT OF HUNGARIAN BANKRUPTCY PREDICTION
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[46]	Öznitelik Seçim Yöntemleri ve Makine Öğrenmesi Kullanarak Şirket Bilanço Verilerine Dayalı İflas Riski Tahmini
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[47]	Models for Predicting Business Bankruptcies and Their Application to Banking and to Financial Regulation
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[48]	Role and Performance of Different Traditional Classification and Nature-Inspired Computing Techniques in Major Research Areas
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[49]	A Comparative Study of Machine Learning Algorithms As an Audit Tool in Financial Failure Prediction
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[50]	A CSŐDELŐREJELZÉS FEJLŐDÉSTÖRTÉNETE MAGYARORSZÁGON.
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[51]	A csődelőrejelzés fejlődéstörténete Magyarországon= Historical development of Hungarian bankruptcy prediction
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[52]	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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[53]	Bankrupcy Risk Forecast Based on Company Balance Sheet Data Using Machine Learning
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[54]	Firms Default Prediction with Machine Learning
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[55]	Makine ??renmesi Kullan?larak ?irket Bilan?o Verilerine Dayal? ?flas Riski Tahmini
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[56]	A differential evolution‐oriented pruning neural network model for bankruptcy prediction
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[57]	A csődelőrejelzés fejlődéstörténete Magyarországon
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[58]	Models for Predicting Business Bankruptcies and Their Application to Banking and Financial Regulation
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[59]	Predicting financial distress for Romanian companies
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[60]	Machine Learning Models Comparison for Bankruptcy Predication for Indian Companies a Study Based on India's Insolvency and Bankruptcy Code (Ibc '2016)


[61]	INFORMATIKA DAN TEKNOLOGI (INTECH)

[1]	Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach IEEE Access, 2025 DOI:10.1109/ACCESS.2024.3523967

[2]	Artificial Intelligence: Theory and Applications Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-99-8476-3_9

[3]	Machine Learning and Principles and Practice of Knowledge Discovery in Databases Communications in Computer and Information Science, 2023 DOI:10.1007/978-3-031-23633-4_6

[4]	Machine-learning enabled construction of temperature-strain phase diagrams of ferroelectric thin films Journal of Materials Research, 2023 DOI:10.1557/s43578-023-00916-y

[5]	Machine Learning based efficient Bankruptcy Prediction Model 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), 2023 DOI:10.1109/RMKMATE59243.2023.10368978

[6]	Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction The Knowledge Engineering Review, 2022 DOI:10.1017/S026988892100014X

[7]	Predicting cash holdings using supervised machine learning algorithms Financial Innovation, 2022 DOI:10.1186/s40854-022-00351-8

[8]	Intelligent Sustainable Systems Lecture Notes in Networks and Systems, 2022 DOI:10.1007/978-981-16-6369-7_18

[9]	Comparison of Bankruptcy Prediction Models Using Support Vector Machine and Artificial Neural Network 2022 11th Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), 2022 DOI:10.1109/EECCIS54468.2022.9902935

[10]	Predicting the Discontinuity of Non-Profit Organizations Using the Machine Learning Approach SSRN Electronic Journal , 2021 DOI:10.2139/ssrn.3780096

[11]	Big data analytics for default prediction using graph theory Expert Systems with Applications, 2021 DOI:10.1016/j.eswa.2021.114840

[12]	Big data analytics for default prediction using graph theory Expert Systems with Applications, 2021 DOI:10.1016/j.eswa.2021.114840

[13]	Handbook of Research on Management Techniques and Sustainability Strategies for Handling Disruptive Situations in Corporate Settings Advances in Logistics, Operations, and Management Science, 2021 DOI:10.4018/978-1-7998-8185-8.ch011

[14]	Big data analytics for default prediction using graph theory Expert Systems with Applications, 2021 DOI:10.1016/j.eswa.2021.114840

[15]	Big data analytics for default prediction using graph theory Expert Systems with Applications, 2021 DOI:10.1016/j.eswa.2021.114840

[16]	Big data analytics for default prediction using graph theory Expert Systems with Applications, 2021 DOI:10.1016/j.eswa.2021.114840

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

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

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

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

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

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

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

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

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

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

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

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