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Financial Distress Prediction: Principle Component Analysis and Artificial Neural Networks
16 references·0 citing·24 second hop
Financial Distress Prediction: Principle Component Analysis and Artificial Neural Networks (2019)Financial Distress Prediction: Principle …AdaBoost based bankruptcy forecasting of Korean construction companies (2014)AdaBoost based bankruptcy for…A comparative study of classifier ensembles for bankruptcy prediction (2014)A comparative study of classi…Financial distress prediction using support vector machines: Ensemble vs. individual (2012)Financial distress prediction…Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Financial…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…Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Neural network credit scoring models (2000)Neural network credit scoring…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…A neural network model for bankruptcy prediction (1990)A neural network model for ba…A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS (1975)A MULTIVARIATE STATISTICAL AN…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…Positive Accounting Theory (1985)Forecasting with artificial neural networks: (1998)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)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)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)PREDICTION OF BANK FAILURES (1970)The probability of bankruptcy (1981)The Analysis and Use of Financial Ratios: A Review Article (1987)Determinants of bank efficiency during unstable macroeconomic environment: Empirical evidence from Malaysia (2008)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)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)Designing a neural network for forecasting financial and economic time series (1996)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 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
  • 1994Bankruptcy prediction using neural networks722 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 1975A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS485 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2014A comparative study of classifier ensembles for bankruptcy prediction201 cited
  • 2012

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Financial distress prediction using support vector machines: Ensemble vs. individual
153 cited
  • 2014AdaBoost based bankruptcy forecasting of Korean construction companies125 cited
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