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A neural network for classifying the financial health of a firm
8 references·16 citing·29 second hop
A neural network for classifying the financial health of a firm (1995)A neural network for classifying the fina…Financial Management: Theory and Practice (2018)Financial Management: Theory …Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Proceedings of the Internatio…A neural network model for bankruptcy prediction (1990)A neural network model for ba…Multivariate Normality and Forecasting of Business Bankruptcy (1987)Multivariate Normality and Fo…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Financial Managemen:t Theory and Practice (1979)Financial Managemen:t Theory …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…Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda (2023)Forecasting in financial acco…Combining corporate governance indicators with stacking ensembles for financial distress prediction (2020)Combining corporate governanc…Machine Learning at Central Banks (2017)Machine Learning at Central B…The Logistic Lasso and Ridge Regression in Predicting Corporate Failure (2016)The Logistic Lasso and Ridge …A data analytic approach to forecasting daily stock returns in an emerging market (2016)A data analytic approach to f…Developing an early warning system to predict currency crises (2014)Developing an early warning s…Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises (2012)Small Enterprise Default Pred…Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time (2012)Forecasting financial failure…The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory (2011)The prediction for listed com…Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model (2011)Predicting corporate bankrupt…Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy (2010)Predicting bankruptcy using n…Multiple classifier application to credit risk assessment (2009)Multiple classifier applicati…A binary classification method for bankruptcy prediction (2008)A binary classification metho…Financial failure prediction using efficiency as a predictor (2007)Financial failure prediction …An early warning system for loan risk assessment using artificial neural networks (2001)An early warning system for l…A data mining approach to the prediction of corporate failure (2001)A data mining approach to the…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)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Structural equation modeling with AMOS: basic concepts, applications, and programming (2000)Exploring the behaviour of base classifiers in credit scoring ensembles (2012)Two-level classifier ensembles for credit risk assessment (2012)Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction (2018)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)A Further Empirical Investigation of the Bankruptcy Cost Question (1984)Barriers to Innovation among Spanish Manufacturing SMEs (2009)Does CSR Reduce Firm Risk? Evidence from Controversial Industry Sectors (2012)Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Predicting fraudulent financial reporting using artificial neural network (2017)Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE (2020)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong (2020)Stock market movement forecast: A Systematic review (2020)
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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
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2003Proceedings of the International Joint Conference on Neural Networks, 2003.1,674 cited
  • 1979Financial Managemen:t Theory and Practice1,139 cited
  • 2018Financial Management: Theory and Practice992 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 1987Multivariate Normality and Forecasting of Business Bankruptcy354 cited

Cited by

  • 2009Multiple classifier application to credit risk assessment166 cited
  • 2010Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy151 cited
  • 2014Developing an early warning system to predict currency crises150 cited
  • 2012Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises145 cited
  • 2020Combining corporate governance indicators with stacking ensembles for financial distress prediction144 cited
  • 2001A data mining approach to the prediction of corporate failure143 cited

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  • 2017Machine Learning at Central Banks138 cited
  • 2016The Logistic Lasso and Ridge Regression in Predicting Corporate Failure124 cited
  • 2008A binary classification method for bankruptcy prediction117 cited
  • 2016A data analytic approach to forecasting daily stock returns in an emerging market111 cited
  • 2023Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda108 cited
  • 2011The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory105 cited
  • 2001An early warning system for loan risk assessment using artificial neural networks102 cited
  • 2011Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model101 cited
  • 2007Financial failure prediction using efficiency as a predictor87 cited
  • 2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time86 cited