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Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach
16 references·3 citing·28 second hop
Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach (2005)Predicting the survival or failure of cli…Financial Forecasting Using Support Vector Machines (2001)Financial Forecasting Using S…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Business failure prediction using rough sets (1999)Business failure prediction u…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…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…Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data (1988)Inducing Rules for Expert Sys…CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION (1987)CURRENT TECHNIQUES IN BANKRUP…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…The probability of bankruptcy (1981)The probability of bankruptcyFinancial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Investigation of financial distress with a dynamic logit based on the linkage between liquidity and profitability status of listed firms (2018)Investigation of financial di…From failure to corporate bankruptcy: a review (2013)From failure to corporate ban…Investigating the Impact of Firm Strategy - Click-and-Brick, Brick-and-Mortar, and Pure- Click - on Financial Performance (2009)Investigating the Impact of F…Limited-dependent and qualitative variables in econometrics (1983)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)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Financial Ratios As Predictors of Failure (1966)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)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)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)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)The robust beauty of improper linear models in decision making. (1979)A neural network model for bankruptcy prediction (1990)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)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)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)
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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
  • 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
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1999Business failure prediction using rough sets493 cited
  • 1993Forecasting with neural networks432 cited
  • 2001Financial Forecasting Using Support Vector Machines392 cited
  • 1987CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION350 cited
  • 1981The probability of bankruptcy

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334 cited
  • 1988Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data289 cited
  • Cited by

    • 2013From failure to corporate bankruptcy: a review41 cited
    • 2018Investigation of financial distress with a dynamic logit based on the linkage between liquidity and profitability status of listed firms41 cited
    • 2009Investigating the Impact of Firm Strategy - Click-and-Brick, Brick-and-Mortar, and Pure- Click - on Financial Performance9 cited