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Bankruptcy prediction using Partial Least Squares Logistic Regression
16 references·16 citing·29 second hopsampled
Bankruptcy prediction using Partial Least Squares Logistic Regression (2017)Bankruptcy prediction using Partial Least…Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Financial distress and bankru…Using neural networks and data mining techniques for the financial distress prediction model (2008)Using neural networks and dat…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Identifying failing companies: a re-evaluation of the logit, probit and DA approaches (1999)Identifying failing companies…Financial Distress and Corporate Performance (1994)Financial Distress and Corpor…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)PREDICTING BANKRUPTCY FOR FIR…Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers (1986)Agency Costs of Free Cash Flo…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…The Assessment of Company Solvency and Performance Using a Statistical Model (1983)The Assessment of Company Sol…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)An Empirical Test of Financia…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…The Cost of Capital, Corporation Finance and the Theory of Investment (1958)The Cost of Capital, Corporat…Systematic Review of Financial Distress Identification using Artificial Intelligence Methods (2022)Systematic Review of Financia…Predicting the changes in the WTI crude oil price dynamics using machine learning models (2022)Predicting the changes in the…Predicting and interpreting financial distress using a weighted boosted tree-based tree (2022)Predicting and interpreting f…Economic policy uncertainty and bankruptcy filings (2022)Economic policy uncertainty a…Artificial intelligence in predicting the bankruptcy of non-financial corporations (2022)Artificial intelligence in pr…The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning (2021)The effect of green energy, g…Customer churn analysis in banking sector: Evidence from explainable machine learning models (2021)Customer churn analysis in ba…CORPORATE BANKRUPTCY AND INSOLVENCY PREDICTION MODEL (2021)CORPORATE BANKRUPTCY AND INSO…Bankruptcy prediction using fuzzy convolutional neural networks (2021)Bankruptcy prediction using f…An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression (2021)An Optimal Model of Financial…Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods (2020)Predicting Financial Distress…Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach (2020)Determinants and Predictors o…Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya (2020)Corporate Bankruptcy Predicti…Modeling corporate financial distress using financial and non-financial variables (2019)Modeling corporate financial …A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms (2019)A bibliometric study on intel…A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction (2018)A Survey on Machine Learning …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)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Corporate financing and investment decisions when firms have information that investors do not have (1984)The Cross-Section of Expected Stock Returns (1992)The determinants and implications of corporate cash holdings (1999)Default Risk in Equity Returns (2004)DISTRIBUTION OF INCOMES OF CORPORATIONS AMONG DIVIDENDS, RETAINED EARNINGS AND TAXES (1956)The Pricing of Options and Corporate Liabilities (1973)Law and Finance (1998)The robust beauty of improper linear models in decision making. (1979)A neural network model for bankruptcy prediction (1990)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Statistical Models of Bond Ratings: A Methodological Inquiry (1979)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems (1993)A Survey of Corporate Governance (1997)Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints? (1997)
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References

  • 1986Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers17,216 cited
  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1958The Cost of Capital, Corporation Finance and the Theory of Investment14,494 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1994Financial Distress and Corporate Performance1,660 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1972An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction767 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2013Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables453 cited
  • 1999Identifying failing companies: a re-evaluation of the logit, probit and DA approaches386 cited
  • 1983The Assessment of Company Solvency and Performance Using a Statistical Model

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345 cited
  • 1990PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS286 cited
  • 2008Using neural networks and data mining techniques for the financial distress prediction model283 cited
  • Cited by

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    • 2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods89 cited
    • 2018A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction70 cited
    • 2019Modeling corporate financial distress using financial and non-financial variables63 cited
    • 2021Bankruptcy prediction using fuzzy convolutional neural networks60 cited
    • 2020Corporate Bankruptcy Prediction Model, a Special Focus on Listed Companies in Kenya59 cited
    • 2022Systematic Review of Financial Distress Identification using Artificial Intelligence Methods59 cited
    • 2020Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach58 cited
    • 2021An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression47 cited
    • 2022Predicting and interpreting financial distress using a weighted boosted tree-based tree46 cited
    • 2021Customer churn analysis in banking sector: Evidence from explainable machine learning models44 cited
    • 2022Economic policy uncertainty and bankruptcy filings42 cited
    • 2022Artificial intelligence in predicting the bankruptcy of non-financial corporations40 cited
    • 2021CORPORATE BANKRUPTCY AND INSOLVENCY PREDICTION MODEL38 cited