SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecast bankruptcy using a blend of clustering and MARS model: case of US banks
16 references·2 citing·24 second hop
Forecast bankruptcy using a blend of clustering and MARS model: case of US banks (2018)Forecast bankruptcy using a blend of clus…Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Bankruptcy visualization and …Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)Predicting corporate financia…Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)Bankruptcy forecasting: A hyb…Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Predicting bank financial fai…Predicting Firm Financial Distress: A Mixed Logit Model (2004)Predicting Firm Financial Dis…Predicting large US commercial bank failures (2002)Predicting large US commercia…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…The Application of Neural Networks and a Qualitative Response Model to the Auditor's Going Concern Uncertainty Decision* (1995)The Application of Neural Net…A neural network model for bankruptcy prediction (1990)A neural network model for ba…Assessing Credit Card Applications Using Machine Learning (1987)Assessing Credit Card Applica…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…Early warning of bank failure (1977)Early warning of bank failureFINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Designing topological data to forecast bankruptcy using convolutional neural networks (2022)Designing topological data to…Proposing a Multidimensional Bankruptcy Prediction Model: An Approach for Sustainable Islamic Banking (2020)Proposing a Multidimensional …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)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Financial crises and bank failures: A review of prediction methods (2009)Positive Accounting Theory (1985)Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)Credit risk measurement: Developments over the last 20 years (1997)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)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)Modeling Ordered Choices (2010)Artificial intelligence and machine learning in finance: A bibliometric review (2022)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
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1977Early warning of bank failure960 cited
  • 1990A neural network model for bankruptcy prediction853 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
  • 2004Predicting Firm Financial Distress: A Mixed Logit Model377 cited
  • 2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey286 cited
  • 2002Predicting large US commercial bank failures267 cited
  • 2011Predicting corporate financial distress based on integration of decision tree classification and logistic regression248 cited
  • 1987Assessing Credit Card Applications Using Machine Learning204 cited
  • 2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks

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

201 cited
  • 2010Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)169 cited
  • 1995The Application of Neural Networks and a Qualitative Response Model to the Auditor's Going Concern Uncertainty Decision*153 cited
  • Cited by

    • 2022Designing topological data to forecast bankruptcy using convolutional neural networks22 cited
    • 2020Proposing a Multidimensional Bankruptcy Prediction Model: An Approach for Sustainable Islamic Banking19 cited