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Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises
16 references·16 citing·32 second hopsampled
Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises (2012)Small Enterprise Default Prediction Model…Modelling Credit Risk for SMEs: Evidence from the U.S. Market (2007)Modelling Credit Risk for SME…A more complete conceptual framework for SME finance (2006)A more complete conceptual fr…The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications* (2005)The Link between Default and …Corporate Financial Distress and Bankruptcy (2005)Corporate Financial Distress …Small Business Credit Availability and Relationship Lending: The Importance of Bank Organisational Structure (2002)Small Business Credit Availab…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Early warning of bank failure (1977)Early warning of bank failureFailing Company Discriminant Analysis (1974)Failing Company Discriminant …An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)An Empirical Test of Financia…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…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Does Size Matter? Analysing the Financial Implications of COVID-19 on SMEs and Large Companies Using a Hybrid Methodology (2025)Does Size Matter? Analysing t…Revisiting SME default predictors: The Omega Score (2022)Revisiting SME default predic…Financial distress prediction using integrated Z-score and multilayer perceptron neural networks (2022)Financial distress prediction…Big data analytics for default prediction using graph theory (2021)Big data analytics for defaul…Knowledge management and open innovation in agri-food crowdfunding (2019)Knowledge management and open…Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design (2019)Can machine learning approach…Topological applications of multilayer perceptrons and support vector machines in financial decision support systems (2018)Topological applications of m…Assessing the credit worthiness of Italian SMEs and mini-bond issuers (2018)Assessing the credit worthine…The Relevance of Soft Information for Predicting Small Business Credit Default: Evidence from a Social Bank (2017)The Relevance of Soft Informa…Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises (2017)Integrating cognitive mapping…Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling (2016)Exploring the predictive pote…Entrepreneurial overconfidence and its impact upon performance (2016)Entrepreneurial overconfidenc…Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model (2015)Bankruptcy prediction of smal…An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)An insight into the experimen…A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy (2014)A genetic algorithm approach …A Business Success Versus Failure Prediction Model for Small Businesses in Israel (2014)A Business Success Versus Fai…Finance and Growth: Schumpeter Might Be Right (1993)The Benefits of Lending Relationships: Evidence from Small Business Data (1994)Law and Finance (1998)Access to Financial Services: A Review of the Issues and Public Policy Objectives (2006)Bank ownership and efficiency in China: What will happen in the world’s largest nation? (2007)Information: Hard and Soft (2018)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)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Neural network credit scoring models (2000)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Determinants of corporate borrowing (1977)Credit Rationing in Markets with Imperfect Information (1981)Corporate financing and investment decisions when firms have information that investors do not have (1984)Does function follow organizational form? Evidence from the lending practices of large and small banks (2005)Rethinking Bank Regulation: Till Angels Govern (2005)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Credit risk measurement: Developments over the last 20 years (1997)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)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)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Statistical Models of Bond Ratings: A Methodological Inquiry (1979)35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Is the Risk of Bankruptcy a Systematic Risk? (1998)The Long‐Run Stock Returns Following Bond Ratings Changes (2001)
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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
  • 2006A more complete conceptual framework for SME finance2,011 cited
  • 2002Small Business Credit Availability and Relationship Lending: The Importance of Bank Organisational Structure1,888 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1977Early warning of bank failure960 cited
  • 1972An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction767 cited
  • 2005Corporate Financial Distress and Bankruptcy759 cited
  • 2005The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications*759 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1974Failing Company Discriminant Analysis617 cited
  • 2007

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Modelling Credit Risk for SMEs: Evidence from the U.S. Market
606 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • Cited by

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    • 2022Financial distress prediction using integrated Z-score and multilayer perceptron neural networks141 cited
    • 2019Knowledge management and open innovation in agri-food crowdfunding109 cited
    • 2017The Relevance of Soft Information for Predicting Small Business Credit Default: Evidence from a Social Bank93 cited
    • 2025Does Size Matter? Analysing the Financial Implications of COVID-19 on SMEs and Large Companies Using a Hybrid Methodology90 cited
    • 2016Entrepreneurial overconfidence and its impact upon performance81 cited
    • 2018Assessing the credit worthiness of Italian SMEs and mini-bond issuers81 cited
    • 2014A Business Success Versus Failure Prediction Model for Small Businesses in Israel75 cited
    • 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems75 cited
    • 2021Big data analytics for default prediction using graph theory72 cited
    • 2017Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises69 cited
    • 2015Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model67 cited
    • 2016Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling66 cited
    • 2022Revisiting SME default predictors: The Omega Score65 cited
    • 2019Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design63 cited
    • 2018Topological applications of multilayer perceptrons and support vector machines in financial decision support systems59 cited