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A Novel Support Vector Machine Metamodel for Business Risk Identification
8 references·1 citing·28 second hop
A Novel Support Vector Machine Metamodel for Business Risk Identification (2006)A Novel Support Vector Machine Metamodel …Business Research Methods (2022)Business Research MethodsA Bias-Variance-Complexity Trade-Off Framework for Complex System Modeling (2006)A Bias-Variance-Complexity Tr…Corporate Financial Distress and Bankruptcy (2005)Corporate Financial Distress …A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms (2005)A comparison of supervised an…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…A survey on the suitability of risk identification techniques in the current networked environment (2021)A survey on the suitability o…Financial Ratios As Predictors of Failure (1966)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)OR/MS research in disaster operations management (2005)Supply chain risk management (2005)Supply chain risk management: a literature review (2015)Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management (2010)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Consumer credit-risk models via machine-learning algorithms (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Consumer engagement in a virtual brand community: An exploratory analysis (2011)Smart tourism destinations: ecosystems for tourism destination competitiveness (2016)Research Methods in Business Studies (2020)Is the Risk of Bankruptcy a Systematic Risk? (1998)The Long‐Run Stock Returns Following Bond Ratings Changes (2001)The effects of government ownership on bank lending (2003)
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References

  • 2022Business Research Methods10,949 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2005Corporate Financial Distress and Bankruptcy759 cited
  • 2005A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms219 cited
  • 2006A Bias-Variance-Complexity Trade-Off Framework for Complex System Modeling54 cited

Cited by

  • 2021A survey on the suitability of risk identification techniques in the current networked environment36 cited

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