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A Comparison of Corporate Failure Models in Australia: Hybrid Neural Networks, Logit Models and Discriminant Analysis
16 references·0 citing·38 second hop
A Comparison of Corporate Failure Models in Australia: Hybrid Neural Networks, Logit Models and Discriminant Analysis (2007)A Comparison of Corporate Failure Models …Creating a culture of innovation (2013)Creating a culture of innovat…Bankruptcy Prediction: Evidence from Korean Listed Companies during the IMF Crisis (2000)Bankruptcy Prediction: Eviden…Hybrid neural network models for bankruptcy predictions (1996)Hybrid neural network models …Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…A neural network model for bankruptcy prediction (1990)A neural network model for ba…Classifying Bankrupt Firms with Funds Flow Components (1985)Classifying Bankrupt Firms wi…Corporate distress in Australia (1984)Corporate distress in Austral…An empirical study of the usefulness of accounting ratios to describe levels of insolvency risk (1984)An empirical study of the use…The Prediction of Corporate Failure: Testing the Australian Experience (1981)The Prediction of Corporate F…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Discriminant Analysis, Classification Results, and Financially Distressed P-L Insurers (1977)Discriminant Analysis, Classi…Bankruptcy Costs: Some Evidence (1977)Bankruptcy Costs: Some Eviden…BANKRUPTCY COSTS: SOME EVIDENCE (1977)BANKRUPTCY COSTS: SOME EVIDEN…Failing Company Discriminant Analysis (1974)Failing Company Discriminant …A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)The robust beauty of improper linear models in decision making. (1979)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Genetic programming and rough sets: A hybrid approach to bankruptcy classification (2002)Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models (2013)Corporate Financial Reporting: A Methodological Review of Empirical Research (1982)Using Operating Cash Flow Data to Predict Financial Distress: Some Extensions (1985)A Five-State Financial Distress Prediction Model (1987)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)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)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)The Cost of Capital, Corporation Finance and the Theory of Investment (1958)CORPORATE INCOME TAXES AND THE COST OF CAPITAL: A CORRECTION (1963)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)A Further Empirical Investigation of the Bankruptcy Cost Question (1984)Troubled debt restructurings (1990)Why Firms Use Currency Derivatives (1997)Positive Accounting Theory (1985)Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)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)ASSESSING THE VULNERABILITY TO FAILURE OF AMERICAN INDUSTRIAL FIRMS: A LOGISTIC ANALYSIS (1985)Research Methods in Accounting (2003)Modelling Credit Risk for SMEs: Evidence from the U.S. Market (2007)Agency Costs, Net Worth, and Business Fluctuations : A Computable General Equilibrium Analysis (1996)The theory of financial intermediation (1997)How Big are the Tax Benefits of Debt? (1998)
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References

  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1977BANKRUPTCY COSTS: SOME EVIDENCE1,096 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1977Bankruptcy Costs: Some Evidence879 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 1974Failing Company Discriminant Analysis617 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 1985Classifying Bankrupt Firms with Funds Flow Components311 cited
  • 1996Hybrid neural network models for bankruptcy predictions257 cited
  • 1984Corporate distress in Australia123 cited
  • 2000Bankruptcy Prediction: Evidence from Korean Listed Companies during the IMF Crisis93 cited
  • 1984An empirical study of the usefulness of accounting ratios to describe levels of insolvency risk68 cited
  • 1981The Prediction of Corporate Failure: Testing the Australian Experience60 cited
  • 2013Creating a culture of innovation33 cited

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1977
Discriminant Analysis, Classification Results, and Financially Distressed P-L Insurers
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