SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A two-stage classification technique for bankruptcy prediction
16 references·16 citing·30 second hopsampled
A two-stage classification technique for bankruptcy prediction (2016)A two-stage classification technique for …Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches (2013)Predicting financial distress…Ensemble with neural networks for bankruptcy prediction (2009)Ensemble with neural networks…Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)Bankruptcy forecasting: An em…STRATEGY-MAKING IN CONTEXT: TEN EMPIRICAL ARCHETYPES (2007)STRATEGY-MAKING IN CONTEXT: T…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)35 years of studies on busine…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Predicting corporate financial distress: Reflections on choice-based sample bias (2002)Predicting corporate financia…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…THE AFTERMATH OF ORGANIZATIONAL DECLINE: A LONGITUDINAL STUDY OF THE STRATEGIC AND MANAGERIAL CHARACTERISTICS OF DECLINING FIRMS. (1989)THE AFTERMATH OF ORGANIZATION…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…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…No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure (2022)No more black boxes! Explaini…Attentive statement fraud detection: Distinguishing multimodal financial data with fine-grained attention (2022)Attentive statement fraud det…Big data analytics for default prediction using graph theory (2021)Big data analytics for defaul…Nagging Predictors (2020)Nagging PredictorsIncorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods (2020)Incorporating textual and man…A Race for Long Horizon Bankruptcy Prediction (2020)A Race for Long Horizon Bankr…Machine learning models and cost-sensitive decision trees for bond rating prediction (2019)Machine learning models and c…Ensemble learning with label proportions for bankruptcy prediction (2019)Ensemble learning with label …Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting (2019)Can deep learning predict ris…Failure pattern-based ensembles applied to bankruptcy forecasting (2018)Failure pattern-based ensembl…Banking credit worthiness: Evaluating the complex relationships (2018)Banking credit worthiness: Ev…A new random subspace method incorporating sentiment and textual information for financial distress prediction (2018)A new random subspace method …Two-step classification method based on genetic algorithm for bankruptcy forecasting (2017)Two-step classification metho…Probabilistic modeling and visualization for bankruptcy prediction (2017)Probabilistic modeling and vi…Corporate failure prediction in the European energy sector: A multicriteria approach and the effect of country characteristics (2017)Corporate failure prediction …Business failure prediction based on two-stage selective ensemble with manifold learning algorithm and kernel-based fuzzy self-organizing map (2017)Business failure prediction b…Financial Ratios As Predictors of Failure (1966)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)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)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Deep learning models for bankruptcy prediction using textual disclosures (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Business failure prediction using rough sets (1999)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)ELECTRE: A comprehensive literature review on methodologies and applications (2015)A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy (2006)Antecedents of proactive supply chain risk management – a contingency theory perspective (2013)Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)
this work references cited by second hop· second hop is a sample of the most-cited connections

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
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems795 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 2002Predicting corporate financial distress: Reflections on choice-based sample bias579 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 1989THE AFTERMATH OF ORGANIZATIONAL DECLINE: A LONGITUDINAL STUDY OF THE STRATEGIC AND MANAGERIAL CHARACTERISTICS OF DECLINING FIRMS.454 cited
  • 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
  • 2004Neural network ensemble strategies for financial decision applications

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

332 cited
  • 2007STRATEGY-MAKING IN CONTEXT: TEN EMPIRICAL ARCHETYPES326 cited
  • 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks290 cited
  • 2009Ensemble with neural networks for bankruptcy prediction266 cited
  • Cited by

    • 2018Banking credit worthiness: Evaluating the complex relationships134 cited
    • 2019Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting120 cited
    • 2022No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure97 cited
    • 2017Two-step classification method based on genetic algorithm for bankruptcy forecasting95 cited
    • 2017Probabilistic modeling and visualization for bankruptcy prediction90 cited
    • 2020Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods86 cited
    • 2019Ensemble learning with label proportions for bankruptcy prediction81 cited
    • 2020A Race for Long Horizon Bankruptcy Prediction75 cited
    • 2021Big data analytics for default prediction using graph theory72 cited
    • 2018A new random subspace method incorporating sentiment and textual information for financial distress prediction72 cited
    • 2020Nagging Predictors72 cited
    • 2017Business failure prediction based on two-stage selective ensemble with manifold learning algorithm and kernel-based fuzzy self-organizing map69 cited
    • 2022Attentive statement fraud detection: Distinguishing multimodal financial data with fine-grained attention67 cited
    • 2017Corporate failure prediction in the European energy sector: A multicriteria approach and the effect of country characteristics67 cited
    • 2019Machine learning models and cost-sensitive decision trees for bond rating prediction66 cited
    • 2018Failure pattern-based ensembles applied to bankruptcy forecasting65 cited