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Dynamic financial distress prediction using instance selection for the disposal of concept drift
16 references·13 citing·28 second hop
Dynamic financial distress prediction using instance selection for the disposal of concept drift (2010)Dynamic financial distress prediction usi…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy (2006)A real-valued genetic algorit…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A genetic algorithm application in bankruptcy prediction modeling (2002)A genetic algorithm applicati…Probabilistic Neural Networks in Bankruptcy Prediction (1999)Probabilistic Neural Networks…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Forecasting with neural networks (1993)Forecasting with neural netwo…A neural network model for bankruptcy prediction (1990)A neural network model for ba…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…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…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Financial Distress Prediction Using Support Vector Machines and Logistic Regression (2022)Financial Distress Prediction…Can board diversity predict the risk of financial distress? (2021)Can board diversity predict t…A Hybrid Machine Learning Model for Credit Approval (2021)A Hybrid Machine Learning Mod…Dynamic imbalanced business credit evaluation based on Learn++ with sliding time window and weight sampling and FCM with multiple kernels (2020)Dynamic imbalanced business c…Dynamization of bankruptcy models via indicator variables (2019)Dynamization of bankruptcy mo…Dynamic prediction of relative financial distress based on imbalanced data stream: from the view of one industry (2018)Dynamic prediction of relativ…Corporate Financial Distress: A Roadmap of the Academic Literature Concerning its Definition and Tools of Evaluation (2018)Corporate Financial Distress:…Dynamic forecasting of financial distress: the hybrid use of incremental bagging and genetic algorithm—empirical study of Chinese listed corporations (2017)Dynamic forecasting of financ…The dynamic financial distress prediction method of EBW-VSTW-SVM (2015)The dynamic financial distres…Dynamic credit scoring using B & B with incremental-SVM-ensemble (2015)Dynamic credit scoring using …Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine (2014)Statistics-based wrapper for …Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods (2013)Imbalance-oriented SVM method…Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction (2013)Concept Drift-Oriented Adapti…The Predictive Sample Reuse Method with Applications (1975)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Positive Accounting Theory (1985)Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)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)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Consumer credit-risk models via machine-learning algorithms (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)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)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 1993Forecasting with neural networks432 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 2006A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy381 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited

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  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 1999Probabilistic Neural Networks in Bankruptcy Prediction277 cited
  • Cited by

    • 2021Can board diversity predict the risk of financial distress?65 cited
    • 2014Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine63 cited
    • 2013Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction63 cited
    • 2013Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods59 cited
    • 2019Dynamization of bankruptcy models via indicator variables32 cited
    • 2020Dynamic imbalanced business credit evaluation based on Learn++ with sliding time window and weight sampling and FCM with multiple kernels28 cited
    • 2015The dynamic financial distress prediction method of EBW-VSTW-SVM27 cited
    • 2018Dynamic prediction of relative financial distress based on imbalanced data stream: from the view of one industry25 cited
    • 2021A Hybrid Machine Learning Model for Credit Approval20 cited
    • 2018Corporate Financial Distress: A Roadmap of the Academic Literature Concerning its Definition and Tools of Evaluation17 cited
    • 2022Financial Distress Prediction Using Support Vector Machines and Logistic Regression16 cited
    • 2015Dynamic credit scoring using B & B with incremental-SVM-ensemble16 cited
    • 2017Dynamic forecasting of financial distress: the hybrid use of incremental bagging and genetic algorithm—empirical study of Chinese listed corporations15 cited