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Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)
16 references·16 citing·36 second hopsampled
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)Bankruptcy forecasting: A hybrid approach…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Recent developments in consumer credit risk assessment (2007)Recent developments in consum…Comparing the performance of market-based and accounting-based bankruptcy prediction models (2007)Comparing the performance of …Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Corporate Financial Distress and Bankruptcy (2005)Corporate Financial Distress …Assessing the Probability of Bankruptcy (2004)Assessing the Probability of …Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Bankruptcy classification errors in the 1980s: An empirical analysis of Altman's and Ohlson's models (1996)Bankruptcy classification err…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…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…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…Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction (2024)Survey, classification and cr…Predicting financial distress using machine learning approaches: Evidence China (2024)Predicting financial distress…A literature survey of corporate failure prediction models (2023)A literature survey of corpor…Robust multivariate adaptive regression splines under cross-polytope uncertainty: an application in a natural gas market (2022)Robust multivariate adaptive …Imbalanced credit risk prediction based on SMOTE and multi-kernel FCM improved by particle swarm optimization (2021)Imbalanced credit risk predic…Cash Flows Indicators in the Prediction of Financial Distress (2020)Cash Flows Indicators in the …Dynamization of bankruptcy models via indicator variables (2019)Dynamization of bankruptcy mo…Management of financial risks in Slovak enterprises using regression analysis (2018)Management of financial risks…Predicting the Bankruptcy of Construction Companies: A CART-Based Model (2017)Predicting the Bankruptcy of …Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises (2017)Integrating cognitive mapping…Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Hybrid genetic algorithm and …Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques (2015)Forecasting Daily and Monthly…Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting (2014)Fuzzy artificial neural netwo…Assessing methodologies for intelligent bankruptcy prediction (2012)Assessing methodologies for i…A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy (2012)A hybrid device for the solut…A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy (2011)A Hybrid Device of Self Organ…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)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)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)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)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)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)Positive Accounting Theory (1985)Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)The Pricing of Options and Corporate Liabilities (1973)Multi-period corporate default prediction with stochastic covariates (2006)Forecasting Default with the Merton Distance to Default Model (2008)The impact of corporate social responsibility on the cost of bank loans (2010)The effects of government ownership on bank lending (2003)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Is the Risk of Bankruptcy a Systematic Risk? (1998)The Long‐Run Stock Returns Following Bond Ratings Changes (2001)
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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
  • 2004Assessing the Probability of Bankruptcy1,357 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2005Corporate Financial Distress and Bankruptcy759 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
  • 2007Comparing the performance of market-based and accounting-based bankruptcy prediction models584 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring

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514 cited
  • 2007Recent developments in consumer credit risk assessment472 cited
  • 1996Bankruptcy classification errors in the 1980s: An empirical analysis of Altman's and Ohlson's models402 cited
  • Cited by

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    • 2017Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises69 cited
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    • 2021Imbalanced credit risk prediction based on SMOTE and multi-kernel FCM improved by particle swarm optimization57 cited
    • 2024Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction53 cited
    • 2012Assessing methodologies for intelligent bankruptcy prediction53 cited
    • 2023A literature survey of corporate failure prediction models49 cited
    • 2014Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting46 cited
    • 2017Predicting the Bankruptcy of Construction Companies: A CART-Based Model45 cited
    • 2024Predicting financial distress using machine learning approaches: Evidence China40 cited
    • 2020Cash Flows Indicators in the Prediction of Financial Distress38 cited
    • 2022Robust multivariate adaptive regression splines under cross-polytope uncertainty: an application in a natural gas market37 cited
    • 2011A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy33 cited
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