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Bibliography
Altman, E., (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy, The Journal of Finance, September: 589–609.
Altman, E., Haldeman, R. and Narayanan, P., (1977). ZETA Analysis: a New Model to Identify Bankruptcy Risk of Corporations, Journal of Banking and Finance, June: 29–54.
Basel Committee on Banking Supervision (2003). The New Basel Capital Accord, third consultative paper, http://www.bis.org/bcbs/cp3full.pdf.
Beaver, W., (1966). Financial Ratios as Predictors of Failures. Empirical Research in Accounting: Selected Studies, Journal of Accounting Research, supplement to vol. 5: 71–111.
Damodaran, A., (2002). Investment Valuation, second ed., John Wiley & Sons, New York, NY.
Deakin, E., (1972). A Discriminant Analysis of Predictors of Business Failure, Journal of Accounting Research, Spring: 167–179.
Dev, S., (1974). Ratio Analysis and the Prediction of Company Failure in Ebits, Credits, Finance and Profits, ed. H.C. Edy and B.S. Yamey, Sweet and Maxwell, London: 61–74.
Dimitras, A., Slowinski, R., Susmaga, R. and Zopounidis, C., (1999). Business Failure Prediction Using Rough Sets, European Journal of Operational Research, number 114: 263–280.
EUNITE, (2001). Electricity load forecast competition of the EUropean Network on Intelligent TEchnologies for Smart Adaptive Systems, http://neuron.tuke.sk/competition/.
Falkenstein, E., (2000). RiskCalc for Private Companies: Moody's Default Model, Moody's Investors Service.
Fitzpatrick, P., (2000). A Comparison of the Ratios of Successful Industrial Enterprises with Those of Failed Companies, The Accounting Publishing Company.
Frydman, H., Altman, E. and Kao, D.-L., (1985). Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress, The Journal of Finance, 40: 269–291.
Füser, K., (2002). Basel II — was muß der Mittelstand tun?, http://www.ey.com/global/download.nsf/Germany/Mittelstandsrating/$file/Mittelstandsrating.pdf.
Härdle, W. and Simar, L. (2003). Applied Multivariate Statistical Analysis, Springer Verlag.
Gale, D., Kuhn, H.W. and Tucker, A.W., (1951). Linear Programming and the Theory of Games, Activity Analysis of Production and Allocation, ed. T.C. Koopmans, John Wiley & Sons, New York, NY: 317–329.
Lorenz, M.O., (1905). Methods for Measuring the Concentration of Wealth, Journal of American Statistical Association, 9: 209–219.
Martin, D., (1977). Early Warning of Bank Failure: A Logit Regression Approach, Journal of Banking and Finance, number 1: 249–276.
Mercer, J., (1909). Functions of Positive and Negative Type and Their Connection with the Theory of Integral Equations, Philosophical Transactions of the Royal Society of London, 209: 415–446.
Merton, R., (1974). On the Pricing of Corporate Debt: The Risk Structure of Interest Rates, The Journal of Finance, 29: 449–470.
Ohlson, J., (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy, Journal of Accounting Research, Spring: 109–131.
Ramser, J. and Foster, L., (1931). A Demonstration of Ratio Analysis. Bulletin No. 40, University of Illinois, Bureau of Business Research, Urbana, Illinois.
Division of Corporate Finance of the Securities and Exchange Commission, (2004). Standard industrial classification (SIC) code list, http://www.sec.gov/info/edgar/siccodes.htm.
Securities and Exchange Commission, (2004). Archive of historical documents, http://www.sec.gov/cgi-bin/srch-edgar.
Tam, K. and Kiang, M., (1992). Managerial Application of Neural Networks: the Case of Bank Failure Prediction, Management Science, 38: 926–947.
Tikhonov, A.N. and Arsenin, V.Y., (1977). Solution of Ill-posed Problems, W.H. Winston, Washington, DC.
Vapnik, V., (1995). The Nature of Statistical Learning Theory, Springer Verlag, New York, NY.
Wiginton, J., (1980). A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behaviour, Journal of Financial and Quantitative Analysis, 15: 757–770.
Wilcox, A., (1971). A Simple Theory of Financial Ratios as Predictors of Failure, Journal of Accounting Research: 389–395.
Winakor, A. and Smith, R., (1935). Changes in the Financial Structure of Unsuccessful Industrial Corporations. Bulletin No. 51, University of Illinois, Bureau of Business Research, Urbana, Illinois.
Zavgren, C., (1983). The Prediction of Corporate Failure: The State of the Art, Journal of Accounting Literature, number 2: 1–38.
Zmijewski, M., (1984). Methodological Issues Related to the Estimation of Financial Distress Prediction Models, Journal of Accounting Research, 20: 59–82.
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Härdle, W., Moro, R., Schäfer, D. (2005). Predicting Bankruptcy with Support Vector Machines. In: Statistical Tools for Finance and Insurance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27395-6_10
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