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Bankruptcy Prediction for Micro and Small Enterprises Using Financial, Non-Financial, Business Sector and Macroeconomic Variables: The Case of the Lithuanian Construction Sector
16 references·2 citing·32 second hop
Bankruptcy Prediction for Micro and Small Enterprises Using Financial, Non-Financial, Business Sector and Macroeconomic Variables: The Case of the Lithuanian Construction Sector (2023)Bankruptcy Prediction for Micro and Small…Deep learning models for bankruptcy prediction using textual disclosures (2018)Deep learning models for bank…Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions (2018)Application of eXtreme gradie…Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)Financial ratios and corporat…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Financial distress and bankru…Comparative analysis of data mining methods for bankruptcy prediction (2011)Comparative analysis of data …Detection of financial statement fraud and feature selection using data mining techniques (2010)Detection of financial statem…Recent developments in consumer credit risk assessment (2007)Recent developments in consum…Modelling Credit Risk for SMEs: Evidence from the U.S. Market (2007)Modelling Credit Risk for SME…A neural network approach for credit risk evaluation (2007)A neural network approach for…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Neural network credit scoring models (2000)Neural network credit scoring…ASSESSING THE VULNERABILITY TO FAILURE OF AMERICAN INDUSTRIAL FIRMS: A LOGISTIC ANALYSIS (1985)ASSESSING THE VULNERABILITY T…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…The Financial Sustainability of Retail Food SMEs Based on Financial Equilibrium and Financial Performance (2023)The Financial Sustainability …Comparative Analysis of Machine Learning Models for Bankruptcy Prediction in the Context of Pakistani Companies (2023)Comparative Analysis of Machi…Financial Ratios As Predictors of Failure (1966)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Econometric Models and Economic Forecasts (1990)Business failure prediction using rough sets (1999)The chairman’s statement ‐ A content analysis of discretionary narrative disclosures (2000)Research Methods in Accounting (2003)The cost of capital, corporation finance and the theory of investment (2008)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit scoring with a data mining approach based on support vector machines (2006)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Financial applications of machine learning: A literature review (2023)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach (2019)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)The Debt Contracting Value of Accounting Information and Loan Syndicate Structure (2007)Crowdfunding social ventures: a model and research agenda (2013)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2007Modelling Credit Risk for SMEs: Evidence from the U.S. Market606 cited
  • 2010Detection of financial statement fraud and feature selection using data mining techniques586 cited
  • 1985ASSESSING THE VULNERABILITY TO FAILURE OF AMERICAN INDUSTRIAL FIRMS: A LOGISTIC ANALYSIS559 cited
  • 2018Deep learning models for bankruptcy prediction using textual disclosures480 cited
  • 2007Recent developments in consumer credit risk assessment472 cited
  • 2013Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables453 cited
  • 2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study399 cited
  • 2007A neural network approach for credit risk evaluation

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350 cited
  • 2011Comparative analysis of data mining methods for bankruptcy prediction323 cited
  • 2018Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions320 cited
  • Cited by

    • 2023Comparative Analysis of Machine Learning Models for Bankruptcy Prediction in the Context of Pakistani Companies28 cited
    • 2023The Financial Sustainability of Retail Food SMEs Based on Financial Equilibrium and Financial Performance16 cited