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Hybrid model using logit and nonparametric methods for predicting micro-entity failure
16 references·0 citing·52 second hop
Hybrid model using logit and nonparametric methods for predicting micro-entity failure (2016)Hybrid model using logit and nonparametri…Family Business Survival and the Role of Boards (2013)Family Business Survival and …Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)Predicting corporate financia…Comparative analysis of data mining methods for bankruptcy prediction (2011)Comparative analysis of data …The financial reporting environment: Review of the recent literature (2010)The financial reporting envir…Forecast Combinations (2010)Forecast CombinationsModelling Credit Risk for SMEs: Evidence from the U.S. Market (2007)Modelling Credit Risk for SME…A neural network approach for credit risk evaluation (2007)A neural network approach for…Small Business Credit Scoring and Credit Availability* (2006)Small Business Credit Scoring…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…The role of non-financial factors in internal credit ratings (2004)The role of non-financial fac…Financial time series forecasting using support vector machines (2003)Financial time series forecas…The separation of ownership and control in East Asian Corporations (2000)The separation of ownership a…Neural network credit scoring models (2000)Neural network credit scoring…Business failure prediction using rough sets (1999)Business failure prediction u…Multivariate Normality and Forecasting of Business Bankruptcy (1987)Multivariate Normality and Fo…CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION (1987)CURRENT TECHNIQUES IN BANKRUP…Forecasting with artificial neural networks: (1998)Application of support vector machines in financial time series forecasting (2001)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)BUSINESS RESEARCH METHODS (PHƯƠNG PHÁP NGHIÊN CỨU TRONG KINH DOANH) (2023)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Qualitative Response Models: A Survey (1994)Hybrid neural network models for bankruptcy predictions (1996)Portfolio selection and skewness: Evidence from international stock markets (1997)The value of non-financial information in SME risk management (2010)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)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)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Preference disaggregation: 20 years of MCDA experience (2001)Predicting corporate bankruptcy: where we stand? 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References

  • 2000The separation of ownership and control in East Asian Corporations5,753 cited
  • 2010The financial reporting environment: Review of the recent literature2,622 cited
  • 2003Financial time series forecasting using support vector machines1,746 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2007Modelling Credit Risk for SMEs: Evidence from the U.S. Market606 cited
  • 1999Business failure prediction using rough sets493 cited
  • 2004The role of non-financial factors in internal credit ratings438 cited
  • 2006Small Business Credit Scoring and Credit Availability*383 cited
  • 1987Multivariate Normality and Forecasting of Business Bankruptcy354 cited
  • 1987CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION350 cited
  • 2007A neural network approach for credit risk evaluation350 cited
  • 2011Comparative analysis of data mining methods for bankruptcy prediction323 cited
  • 2011Predicting corporate financial distress based on integration of decision tree classification and logistic regression248 cited
  • 2013Family Business Survival and the Role of Boards

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246 cited
  • 2010Forecast Combinations215 cited
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