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Machine Learning and Statistical Techniques. An Application to the Prediction of Insolvency in Spanish Non-life Insurance Companies
11 references·0 citing·37 second hop
Machine Learning and Statistical Techniques. An Application to the Prediction of Insolvency in Spanish Non-life Insurance Companies (2005)Machine Learning and Statistical Techniqu…Genetic programming for the prediction of insolvency in non-life insurance companies (2003)Genetic programming for the p…Genetic programming and rough sets: A hybrid approach to bankruptcy classification (2002)Genetic programming and rough…Business failure prediction using rough sets (1999)Business failure prediction u…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Using Best's Ratings in Life Insurer Insolvency Prediction (1994)Using Best's Ratings in Life …Los modelos de predicción del fracaso empresarial: Una aplicación empírica del logit (1994)Los modelos de predicción del…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Predicción de la quiebra bancaria mediante el empleo de redes neuronales artificiales (1993)Predicción de la quiebra banc…Neural network models and the prediction of bank bankruptcy (1991)Neural network models and the…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)ZETATM analysis A new model t…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using neural networks (1994)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced Database (2007)Data depth based support vector machines for predicting corporate bankruptcy (2017)Business failure, efficiency, and volatility: Evidence from the European insurance industry (2018)An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)Early warning of bank failure (1977)Artificial neural network models for forecasting and decision making (1994)Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)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)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Preference disaggregation: 20 years of MCDA experience (2001)Predicting corporate bankruptcy: where we stand? (2006)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Limited-dependent and qualitative variables in econometrics (1983)Predicting takeover targets (1986)Life Insurer Financial Distress, Best's Ratings and Financial Ratios (1998)Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies (2004)Effects of Analysts’ Ratings on Insurer Stock Returns: Evidence of Asymmetric Responses (2010)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Using Bayesian networks for bankruptcy prediction: Some methodological issues (2006)Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method (2011)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Análisis de sensibilidad temporal en los modelos de predicción de insolvencia: una aplicación a las PYMES industrials (2008)Validez de la información financiera en los procesos de insolvencia. Un estudio de la pequeña empresa española (2013)Explanatory Factors of Business Failure: Literature Review and Global Trends (2021)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1977ZETATM analysis A new model to identify bankruptcy risk of corporations1,812 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1999Business failure prediction using rough sets493 cited
  • 1991Neural network models and the prediction of bank bankruptcy301 cited
  • 2002Genetic programming and rough sets: A hybrid approach to bankruptcy classification219 cited
  • 2003Genetic programming for the prediction of insolvency in non-life insurance companies74 cited
  • 1994Using Best's Ratings in Life Insurer Insolvency Prediction58 cited
  • 1993Predicción de la quiebra bancaria mediante el empleo de redes neuronales artificiales48 cited
  • 1994Los modelos de predicción del fracaso empresarial: Una aplicación empírica del logit37 cited

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