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Using neural networks to predict corporate failure
6 references·16 citing·39 second hop
Using neural networks to predict corporate failure (1998)Using neural networks to predict corporat…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…Forecasting with neural networks (1993)Forecasting with neural netwo…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…A neural network model for bankruptcy prediction (1990)A neural network model for ba…Corporate governance performance ratings with machine learning (2022)Corporate governance performa…Predicting Bankruptcy with Robust Logistic Regression (2021)Predicting Bankruptcy with Ro…Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods (2020)Predicting Financial Distress…AI in Finance: A Review (2020)AI in Finance: A ReviewPredicting credit card delinquencies: An application of deep neural networks (2018)Predicting credit card delinq…Predicting corporate failure: a systematic literature review of methodological issues (2015)Predicting corporate failure:…Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction (2013)Application of hybrid case-ba…BEYOND THE NUMBERS: MINING THE ANNUAL REPORTS FOR HIDDEN CUES INDICATIVE OF FINANCIAL STATEMENT FRAUD (2012)BEYOND THE NUMBERS: MINING TH…Development of a Financial Health Indicator Based on Companies’ Annual Accounts (2011)Development of a Financial He…Using analytic network process to assess business failure risks of construction firms (2010)Using analytic network proces…Predicting Business Failures in Canada* (2007)Predicting Business Failures …NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING (2007)NEURAL NETWORKS IN FINANCE AN…Developing a business failure prediction model via RST, GRA and CBR (2007)Developing a business failure…Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization (2006)Improving bankruptcy predicti…Prediction of CASE adoption: a neural network approach (2004)Prediction of CASE adoption: …Artificial neural networks in analytical review procedures (2004)Artificial neural networks in…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)The Predictive Sample Reuse Method with Applications (1975)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Limited-dependent and qualitative variables in econometrics (1983)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Financial Ratios As Predictors of Failure (1966)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)An enforced support vector machine model for construction contractor default prediction (2011)Clustering and visualization of bankruptcy trajectory using self-organizing map (2012)Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach (2015)Positive Accounting Theory (1985)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting (2015)Sentiment Analysis for Effective Stock Market Prediction (2017)The Use of Predictive Analytics in Finance (2022)The Quarterly Journal of Economics (2024)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Annual report readability, current earnings, and earnings persistence (2008)Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports (2016)Attentive statement fraud detection: Distinguishing multimodal financial data with fine-grained attention (2022)Modelling of extremal events in insurance and finance (1994)The Evolution of Fintech: A New Post-Crisis Paradigm? (2015)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)On the current and emerging challenges of developing fair and ethical AI solutions in financial services (2021)AI Knowledge: Improving AI Delegation through Human Enablement (2023)National Payment Switches and the Power of Cognitive Computing against Fintech Fraud (2023)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Designing a neural network for forecasting financial and economic time series (1996)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
this work references cited by second hop

References

  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 1993Forecasting with neural networks432 cited

Cited by

  • 2007NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING116 cited
  • 2006Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization97 cited
  • 2012BEYOND THE NUMBERS: MINING THE ANNUAL REPORTS FOR HIDDEN CUES INDICATIVE OF FINANCIAL STATEMENT FRAUD97 cited
  • 2020AI in Finance: A Review96 cited
  • 2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods89 cited
  • 2004Artificial neural networks in analytical review procedures80 cited
  • 2007Developing a business failure prediction model via RST, GRA and CBR80 cited
  • 2013Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction75 cited
  • 2015

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

Predicting corporate failure: a systematic literature review of methodological issues
74 cited
  • 2010Using analytic network process to assess business failure risks of construction firms70 cited
  • 2021Predicting Bankruptcy with Robust Logistic Regression63 cited
  • 2018Predicting credit card delinquencies: An application of deep neural networks60 cited
  • 2022Corporate governance performance ratings with machine learning56 cited
  • 2011Development of a Financial Health Indicator Based on Companies’ Annual Accounts55 cited
  • 2004Prediction of CASE adoption: a neural network approach53 cited
  • 2007Predicting Business Failures in Canada*53 cited