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Analyzing the financial distress of Chinese public companies using probabilistic neural networks and multivariate discriminate analysis
16 references·16 citing·30 second hopsampled
Analyzing the financial distress of Chinese public companies using probabilistic neural networks and multivariate discriminate analysis (2007)Analyzing the financial distress of Chine…A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms (2005)A comparison of supervised an…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures (2004)GenSo-EWS: a novel neural-fuz…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Are All Banking Crises Alike? The Japanese Experience in International Comparison (1999)Are All Banking Crises Alike?…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Default on Debt Obligations and the Issuance of Going-Concern Opinions. (1992)Default on Debt Obligations a…The role of banks in reducing the costs of financial distress in Japan (1990)The role of banks in reducing…Neural nets versus logistic regression: A comparison of each model's ability to predict commercial bank failures (1990)Neural nets versus logistic r…A Five-State Financial Distress Prediction Model (1987)A Five-State Financial Distre…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)ZETATM analysis A new model t…PREDICTION OF BANK FAILURES (1970)PREDICTION OF BANK FAILURESFINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Impact of sustainability on financial distress in the air transport industry: the moderating effect of Asia–Pacific (2023)Impact of sustainability on f…GALSTM-FDP: A Time-Series Modeling Approach Using Hybrid GA and LSTM for Financial Distress Prediction (2023)GALSTM-FDP: A Time-Series Mod…Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis (2023)Evolutions in machine learnin…The recurrence of financial distress: A survival analysis (2022)The recurrence of financial d…Financial distress situation of financial sectors in Ethiopia: A review paper (2022)Financial distress situation …Determinants of financial distress in the European air transport industry: The moderating effect of being a flag-carrier (2021)Determinants of financial dis…Prediction of the Bankruptcy of Slovak Companies Using Neural Networks with SMOTE (2020)Prediction of the Bankruptcy …A Robust Deep Learning Model for Financial Distress Prediction (2020)A Robust Deep Learning Model …A Multi-Layer Perceptron Approach to Financial Distress Prediction with Genetic Algorithm (2020)A Multi-Layer Perceptron Appr…A Comparative Analysis of Machine Learning Classifiers and Ensemble Techniques in Financial Distress Prediction (2020)A Comparative Analysis of Mac…Efficacy of industry factors for corporate default prediction (2018)Efficacy of industry factors …Monitoring mechanisms and financial distress of public listed companies in Malaysia (2017)Monitoring mechanisms and fin…A financial early warning logit model and its efficiency verification approach (2014)A financial early warning log…Forecasting business failure using two‐stage ensemble of multivariate discriminant analysis and logistic regression (2012)Forecasting business failure …Turnaround prediction of distressed companies: evidence from Malaysia (2010)Turnaround prediction of dist…The three-factor model and artificial neural networks: predicting stock price movement in China (2009)The three-factor model and ar…Financial Ratios As Predictors of Failure (1966)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Neural network credit scoring models (2000)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Comparative analysis of data mining methods for bankruptcy prediction (2011)Machine Learning in Financial Crisis Prediction: A Survey (2011)Positive Accounting Theory (1985)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Crime and Punishment: An Economic Approach (1968)A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS (1975)Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Determinants of corporate borrowing (1977)Corporate financing and investment decisions when firms have information that investors do not have (1984)Corporate Structure, Liquidity, and Investment: Evidence from Japanese Industrial Groups (1991)The Benefits of Lending Relationships: Evidence from Small Business Data (1994)Venture Capitalists and the Oversight of Private Firms (1995)Relationship Banking: What Do We Know? (2000)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Forecasting with artificial neural networks: (1998)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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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
  • 1977ZETATM analysis A new model to identify bankruptcy risk of corporations1,812 cited
  • 1990The role of banks in reducing the costs of financial distress in Japan1,212 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1970PREDICTION OF BANK FAILURES501 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 1987A Five-State Financial Distress Prediction Model296 cited
  • 1992Default on Debt Obligations and the Issuance of Going-Concern Opinions.235 cited
  • 2005A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms219 cited
  • 2004GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures134 cited
  • 1999

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Are All Banking Crises Alike? The Japanese Experience in International Comparison
123 cited
  • 1990Neural nets versus logistic regression: A comparison of each model's ability to predict commercial bank failures105 cited
  • Cited by

    • 2017Monitoring mechanisms and financial distress of public listed companies in Malaysia63 cited
    • 2022The recurrence of financial distress: A survival analysis61 cited
    • 2009The three-factor model and artificial neural networks: predicting stock price movement in China52 cited
    • 2020A Robust Deep Learning Model for Financial Distress Prediction35 cited
    • 2023Impact of sustainability on financial distress in the air transport industry: the moderating effect of Asia–Pacific34 cited
    • 2023Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis32 cited
    • 2022Financial distress situation of financial sectors in Ethiopia: A review paper32 cited
    • 2014A financial early warning logit model and its efficiency verification approach30 cited
    • 2020A Multi-Layer Perceptron Approach to Financial Distress Prediction with Genetic Algorithm30 cited
    • 2012Forecasting business failure using two‐stage ensemble of multivariate discriminant analysis and logistic regression30 cited
    • 2010Turnaround prediction of distressed companies: evidence from Malaysia30 cited
    • 2020Prediction of the Bankruptcy of Slovak Companies Using Neural Networks with SMOTE24 cited
    • 2018Efficacy of industry factors for corporate default prediction23 cited
    • 2020A Comparative Analysis of Machine Learning Classifiers and Ensemble Techniques in Financial Distress Prediction22 cited
    • 2021Determinants of financial distress in the European air transport industry: The moderating effect of being a flag-carrier22 cited
    • 2023GALSTM-FDP: A Time-Series Modeling Approach Using Hybrid GA and LSTM for Financial Distress Prediction19 cited