SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Hybrid genetic algorithms and support vector machines for bankruptcy prediction
10 references·16 citing·28 second hop
Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and support vec…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)ZETATM analysis A new model t…PREDICTION OF BANK FAILURES (1970)PREDICTION OF BANK FAILURESFINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Systematic review of bankrupt…Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014) (2016)Multivariate analysis of cred…A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy (2014)A genetic algorithm approach …Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods (2013)Performance of corporate bank…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…Combining cluster analysis with classifier ensembles to predict financial distress (2011)Combining cluster analysis wi…A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method (2011)A novel bankruptcy prediction…Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy (2010)Predicting bankruptcy using n…Fuzzy Support Vector Machine for bankruptcy prediction (2010)Fuzzy Support Vector Machine …Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)Hybrid and ensemble-based sof…Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Predicting bank financial fai…Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)A hybrid SOFM-SVR with a filt…Using genetic algorithms grey theory to forecast high technology industrial output (2007)Using genetic algorithms grey…Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Forecasting financial conditi…Forecasting with artificial neural networks: (1998)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)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Crime and Punishment: An Economic Approach (1968)A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS (1975)Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)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)Consumer credit-risk models via machine-learning algorithms (2010)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)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)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)In Search of Distress Risk (2008)Business failure prediction using rough sets (1999)ELECTRE: A comprehensive literature review on methodologies and applications (2015)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
this work references cited by second hop

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
  • 1977ZETATM analysis A new model to identify bankruptcy risk of corporations1,812 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 1970PREDICTION OF BANK FAILURES501 cited

Cited by

  • 2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection330 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey286 cited

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

2008
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting
257 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
  • 2013Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods215 cited
  • 2011A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method183 cited
  • 2010Fuzzy Support Vector Machine for bankruptcy prediction174 cited
  • 2011Combining cluster analysis with classifier ensembles to predict financial distress173 cited
  • 2007Using genetic algorithms grey theory to forecast high technology industrial output169 cited
  • 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey168 cited
  • 2016Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014)155 cited
  • 2012Financial distress prediction using support vector machines: Ensemble vs. individual153 cited
  • 2010Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy151 cited
  • 2014A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy141 cited