References
- 1. Ansoff, H. I., Sullivan, P. A. (1993), “Optimizing profitability in turbulent environment: A formula for strategic success”, Long Range Planning, Vol. 26, No. 5, pp. 11-23.10.1016/0024-6301(93)90073-O
- 2. Altman, E. I., Sabato, G., Wilson, N. (2010), “The value of non-financial information in small and medium-sized enterprise risk management”, The Journal of Credit Risk, Vol. 6, No. 2, pp. 1-33.10.21314/JCR.2010.110
- 3. Altman, E. I., Haldeman, R. G., Narayanan, P. (1977), “ZETATM Analysis: A new model to identify bankruptcy risk of corporations”, Journal of Banking and Finance, Vol. 1, No. 1, pp. 29-54.10.1016/0378-4266(77)90017-6
- 4. Altman, E. I. (1968), “Financial ratios, discriminant analysis and the prediction of corporate bankruptcy”, The Journal of Finance, Vol. 23, No. 4, pp. 589-609.10.1111/j.1540-6261.1968.tb00843.x
- 5. Anandarajan, M., Lee, P., Anandarajan, A. (2001), “Bankruptcy prediction of financially stressed firms: An examination of the predictive accuracy of artificial neural networks”, International Journal of Intelligent Systems in Accounting, Finance & Management, Vol. 10, No. 2, pp. 69-81.10.1002/isaf.199
- 6. Barniv, R., McDonald, J. B. (1992), “Identifying financial distress in the insurance industry: A synthesis of methodological and empirical issues”, The Journal of Risk and Insurance, Vol. 59, No. 4, pp. 543 - 573.10.2307/253344
- 7. Barniv, R., Raveh, A. (1989), “Identifying financial distress: A new nonparametric approach”, Journal of Business Finance & Accounting, Vol. 16, No. 3, pp. 361-383.10.1111/j.1468-5957.1989.tb00024.x
- 8. Beaver, W. H. (1966), “Financial ratios as predictors of failure”, Journal of Accounting Research, Vol. 4, pp. 71-111.10.2307/2490171
- 9. Begley, J., Ming, J., Watts, S. (1996), “Bankruptcy classification errors in the 1980s: An empirical analysis of Altman’s and Ohlson’s models”, Review of Accounting Studies, Vol. 1, No. 4, pp. 267-284.10.1007/BF00570833
- 10. Boritz, J. E., Kennedy, D. B., de Miranda e Albuquerque, A. M. (1995), “Predicting corporate failure using a neural network approach”, Intelligent Systems in Accounting, Finance and Management, Vol. 4, No. 2, pp. 95-111.10.1002/j.1099-1174.1995.tb00083.x
- 11. Brouthers, K. D., Roozen, F. A. (1999), “Is it time to start thinking about strategic accounting?” Long Range Planning, Vol. 32, No. 3, pp. 311-322.10.1016/S0024-6301(99)00035-7
- 12. Casey, C., Bartczak, N. (1985), “Using operating cash flow data to predict financial distress: Some extensions”, Journal of Accounting Research, Vol. 23, No. 1, pp. 384-401.10.2307/2490926
- 13. Charitou, A., Neophytou, E., Charalambous, C. (2004), “Predicting corporate failure: Empirical evidence for the UK”, European Accounting Review, Vol. 13, No. 3, pp. 465-497.10.1080/0963818042000216811
- 14. Chava, S., Jarrow, R. A. (2004), “Bankruptcy prediction with industry effects”, Review of Finance, Vol. 8, No. 4, pp. 537-569.10.1093/rof/8.4.537
- 15. Chen, J., Marshall, B. R., Zhang, J., Ganesh, S. (2006), “Financial distress prediction in China”, Review of Pacific Basin Financial Markets and Policies, Vol. 9, No. 2, pp. 317-336.10.1142/S0219091506000744
- 16. Chen, W. S., Du, Y. K. (2009), “Using neural networks and data mining techniques for the financial distress prediction model”, Expert Systems with Applications, Vol. 36, No. 2, pp. 4075-4086.10.1016/j.eswa.2008.03.020
- 17. Chi, L. C., Tang, T. C. (2006), “Bankruptcy prediction: Application of logit analysis in export credit risks”, Australian Journal of Management, Vol. 31, No. 1, pp. 17-27.10.1177/031289620603100102
- 18. Creditreform Wirtschaftsforschung Austria (2011), “Insolvenzen in Europa: Jahr 2010/11”, available at: http://www.creditreform.at/fileadmin/user_upload/Oesterreich/Downloads/Insolv enz/Insolvenzen_in_Europa_2010.pdf (13 January 2014).
- 19. Dambolena, I. G., Khoury, S. J. (1980), “Ratio stability and corporate failure”, The Journal of Finance, Vol. 35, No. 4, pp. 1017-1026.10.1111/j.1540-6261.1980.tb03517.x
- 20. Dietrich, J., Arcelus, F. J., Srinivasan, G. (2005), “Predicting financial failure: Some evidence from New Brunswick agricultural co-ops”, Annals of Public and Cooperative Economics, Vol. 76, No. 2, pp. 179-194.10.1111/j.1370-4788.2005.00275.x
- 21. Du Jardin, P. (2009), “Bankruptcy prediction models: How to choose the most relevant variables?”, Bankers, Markets & Investors, No. 98, pp. 39-46.
- 22. Edmister, R. O. (1972), „An empirical test of financial ratio analysis for small business failure prediction”, Journal of Financial and Quantitative Analysis, Vol. 7, No. 2, pp. 1477-1493.10.2307/2329929
- 23. Exler, M. W., Situm, M. (2014), „Indikatoren zur Früherkennung von Unternehmenskrisen in der Beraterpraxis: Ansatzpunkte zur Etablierung eines internen Frühwarnsystems”, Krisen-, Sanierungs- und Insolvenzberatung, Vol. 10, No. 2, pp. 53-59.
- 24. Exler, M. W., Situm, M. (2013), “Früherkennung von Unternehmenskrisen: Systematische Einteilung von Krisenfrüherkennungsindikatoren zu den unterschiedlichen Krisenphasen eines Unternehmens”, Krisen-, Sanierungs- und Insolvenzberatung, Vol. 9, No. 4, pp. 161-166.
- 25. Fanning, K. M., Cogger, K. O. (1994), “A comparative analysis of artificial neural networks using financial distress prediction”, Intelligent Systems in Accounting, Finance and Management, Vol. 3, No. 4, pp. 241-252.10.1002/j.1099-1174.1994.tb00068.x
- 26. Fawcett, T. (2006), “An introduction to ROC analysis”, Pattern Recognition Letters, Vol. 27, No. 8, pp. 861-874.10.1016/j.patrec.2005.10.010
- 27. Frydman, H., Altman, E. I., Kao, D. L. (1985), “Introducing recursive partitioning for financial classification: The case of financial distress”, The Journal of Finance, Vol. 40, No. 1, pp. 269-291.10.1111/j.1540-6261.1985.tb04949.x
- 28. Gepp, A., Kumar, K. (2008), “The role of survival analysis in financial distress prediction”, International Research Journal of Finance and Economics, Vol. 16, pp. 13-34.
- 29. Gombola, M. J., Haskins, M. E., Ketz, E. J., Williams, D. D. (1987), “Cash flow in bankruptcy prediction”, Financial Management, Vol. 16, No. 4, pp. 55-65.10.2307/3666109
- 30. Grunert, J., Norden, L., Weber, M. (2005), “The role of non-financial factors in internal credit ratings”, Journal of Banking & Finance, Vol. 29, No. 2, pp. 509-531.10.1016/j.jbankfin.2004.05.017
- 31. Hackbarth, D., Miao, J., Morellec, E. (2006), “Capital structure, credit risk, and macroeconomic conditions”, Journal of Financial Economics, Vol. 82, pp. 519–550.10.1016/j.jfineco.2005.10.003
- 32. Hauser, R. P., Booth, D. (2011), “Predicting bankruptcy with robust logistic regression”, Journal of Data Science, Vol. 9, pp. 565-584.10.6339/JDS.201110_09(4).0006
- 33. Hennessy, C. A., Whited, T. M. (2005), “Debt dynamics”, The Journal of Finance, Vol. 60, No 3, pp. 1129-1165.10.1111/j.1540-6261.2005.00758.x
- 34. Hopwood, W., McKeown, J., Mutchler, J. (1988), “The sensitivity of financial distress prediction models to departures from normality”, Contemporary Accounting Research, Vol. 5, No. 1, pp. 284-298.10.1111/j.1911-3846.1988.tb00706.x
- 35. Houghton, K. A., Woodliff, D. R. (1987), “Financial ratios: The prediction of corporate ‘success’ and failure”, Journal of Business Finance & Accounting, Vol. 14, No. 4, pp. 537-554.10.1111/j.1468-5957.1987.tb00111.x
- 36. Hwang, R. C., Cheng, K. F., Lee, J. C. (2007), “A semiparametric method for predicting bankruptcy”, Journal of Forecasting, Vol. 26, No. 5, pp. 317-342.10.1002/for.1027
- 37. Keasey, K., Watson, R. (1991), “Financial distress prediction models: A review of their usefulness”, British Journal of Management, Vol. 2, No. 2, pp. 89-102.10.1111/j.1467-8551.1991.tb00019.x
- 38. lazzolino, G., Migliano, G., Gregorace, E. (2013), “Evaluating intellectual capital for supporting credit risk assessment: An empirical study”, Investment Management and Financial Innovations, Vol. 10, No. 2, pp. 44-54.
- 39. Jones, S., Hensher, D. A. (2004), “Predicting firm financial distress: A mixed logit model”, The Accounting Review, Vol. 79, No. 4, pp. 1011-1038.10.2308/accr.2004.79.4.1011
- 40. Klecka, W. R. (1980). “Discriminant analysis”, Newbury Park: Sage.10.4135/9781412983938
- 41. Laitinen, E. K., Laitinen, T. (2000), “Bankruptcy prediction: Application of the Taylor’s expansion in logistic regression”, International Review of Financial Analysis, Vol. 9, No. 4, pp. 327-349.10.1016/S1057-5219(00)00039-9
- 42. Lau, A. H. L. (1987), “A five-state financial distress prediction model”, Journal of Accounting Research, Vol. 25, No. 1, pp. 127-138.10.2307/2491262
- 43. Leland, H. E., Toft, K. B. (1996), “Optimal capital structure, endogenous bankruptcy, and the term structure of credit spreads”, The Journal of Finance, Vol. 51, No. 3, pp. 987-1019.10.1111/j.1540-6261.1996.tb02714.x
- 44. Li, H., Sun, J. (2011), “Predicting business failure using forward ranking-order case-based reasoning”, Expert Systems with Applications, Vol. 38, No. 4, pp. 3075-3084.10.1016/j.eswa.2010.08.098
- 45. Lin, F., Liang, D., Chen, E. (2011), “Financial ratio selection for business crisis prediction”, Expert Systems with Applications, Vol. 38, No. 12, pp. 15094-15102.10.1016/j.eswa.2011.05.035
- 46. Liou, D. K., Smith, M. (2007), “Macroeconomic variables and financial distress”, Journal of Accounting, Business & Management, Vol. 14, pp. 17-31.
- 47. Madrid-Guijarro, A., Garcia-Pèrez-de-Lema, D., van Auken, H. (2011), “An analysis of non-financial factors associated with financial distress”, Entrepreneurship & Regional Development, Vol. 23, No. 3-4, pp. 159-186.10.1080/08985620903233911
- 48. Muller, G. H., Steyn-Bruwer, B. W., Hamman, W. D. (2009), “Predicting financial distress of companies listed on JSE - A comparison of techniques”, South African Journal of Business & Management, Vol. 40, No. 1, pp. 21-32.10.4102/sajbm.v40i1.532
- 49. Müller-Stewens, G. (2007). “Früherkennungssysteme”, in Köhler, R., Küpper, H. U., Pfingsten, A. (ed.), „Handwörterbuch der Betriebswirtschaft”, Schaeffer-Pöschl, Stuttgart, pp. 558-580.
- 50. Nam, C. W. et al. (2008), “Bankruptcy prediction using a discrete-time duration model incorporating temporal macroeconomic dependencies”, Journal of Forecasting, Vol. 27, No. 6, pp. 493-506.10.1002/for.985
- 51. Neves, J. C., Vieira, A. (2006), “Improving bankruptcy prediction with hidden layer learning vector quantization”, European Accounting Review, Vol. 15, No, 2, pp. 253-271.10.1080/09638180600555016
- 52. Ohlson, J. A. (1980), “Financial ratios and the probabilistic prediction of bankruptcy”, Journal of Accounting Research, Vol. 18, No. 1, pp. 109-131.10.2307/2490395
- 53. Ooghe, H., Spaenjers, C. (2009), “A note on performance measures for business failure prediction models”, Applied Economics Letter, Vol. 17, No. 1, pp. 67-70.10.1080/13504850701719769
- 54. Pacey, J. W., Pham, T. M. (1990), “The predictiveness of bankruptcy models: Methodological problems and evidence”, Australian Journal of Management, Vol. 15, No. 2, pp. 315-337.10.1177/031289629001500206
- 55. Pervan, I., Kuvek, T. (2013), “The relative importance of financial ratios and nonfinancial variables in predicting of insolvency”, Croatian Operational Research Review, Vol. 4, No. 1, pp. 187-198.
- 56. Pervan, I., Pervan, M., Vukoja, B. (2011), “Prediction of company bankruptcy using statistical techniques - Case of Croatia”, Croatian Operational Research Review, Vol. 2, No. 1, pp. 158-167.
- 57. Pervan, M., Visic, J. (2012), “Influence of firm size on its business success”, Croatian Operational Research Review, Vol. 3, No. 1, pp. 213-223.
- 58. Platt, H. D., Platt, M. B. (2002), “Predicting corporate financial distress: Reflections on choice-based sample bias”, Journal of Economics and Finance, Vol. 26, No. 2, pp. 184-199.10.1007/BF02755985
- 59. Pohar, M., Blas, M., Turk, S. (2004), “Comparison of logistic regression and linear discriminant analysis: A simulation study”, Metdološki Zvezki, Vol. 1, No. 1, pp. 143–161.10.51936/ayrt6204
- 60. Pompe, P. P. M., Bilderbeek, J. (2005), “Bankruptcy prediction: The influence of the year prior to failure selected for model building and the effects in a period of economic decline”, Intelligent Systems in Accounting, Finance and Management, Vol. 13, No. 2, pp. 95-112.10.1002/isaf.259
- 61. Prasad, D., Puri, Y. R. (2005), “Does combining alternate bankruptcy prediction models improve forecasting accuracy?”, The International Journal of Finance, Vol. 17, No. 3, pp. 3581-3602.
- 62. Press, J. S., Wilson, S. (1978), “Choosing between logistic regression and discriminant analysis”, Journal of American Statistical Association, Vol. 73, No. 364, pp. 699-705.10.1080/01621459.1978.10480080
- 63. Pretorius, M. (2008), “Critical variables of business failure: A review and classification framework”, South African Journal of Economic and Management Sciences, Vol. 11, No. 4, pp. 408-430.
- 64. Saunders, A., Cornett, M. (2011). “Financial institutions management: A risk management approach”, 7th edition, New York: Mc-Graw-Hill.
- 65. Schmidt, R., Terberger, E. (1996). „Grundzüge der Investitions- und Finanzierungstheorie”, 3rd edition, Wiesbaden: Gabler.10.1007/978-3-663-14776-3
- 66. Sharma, D. S. (2001), “The role of cash flow information in predicting corporate failure: The state of the literature”, Managerial Finance, Vol. 27, No. 4, pp. 3-28.10.1108/03074350110767114
- 67. Silva, A. P. D., Stam, A., Neter, J. (2002), “The effects of misclassification costs and skewed distributions in two-group classification”, Communications in Statistics -Simulation and Computation, Vol. 31, No. 3, pp. 401-423.10.1081/SAC-120003849
- 68. Skogsvik, K., Skogsvik, S. (2013), “On the choice based sample bias in probabilistic bankruptcy prediction”, Investment Management and Financial Innovations, Vol. 10, No. 1, pp. 29-37.
- 69. Subhash, S. (1996). “Applied multivariate techniques”, New York: John Wiley & Sons.
- 70. Thomas, L. C., Edelman, D. B., Crook, J. N. (2002). “Credit scoring and its applications”, Philadelphia: Society for Industrial and Applied Mathematics.10.1137/1.9780898718317
- 71. Tsai, B. H. (2013), “An early warning system of financial distress using multinomial logit models and a bootstrapping approach”, Emerging Markets Finance & Trade, Vol. 49, No. 2, pp. 43-69.10.2753/REE1540-496X4902S203
- 72. Yim, J., Mitchell, H. E. (2007), “Predicting financial distress in the Australian financial service industry”, Australian Economic Papers, Vol. 46, No. 4, pp. 375-388.10.1111/j.1467-8454.2007.00326.x
- 73. Zenzerovic, R. (2011), “Credit scoring models in estimating the creditworthiness of small and medium and big enterprises”, Croatian Operational Research Review, Vol. 2, No. 1, pp. 143-157.
- 74. Zmijewski, M. E. (1984), “Methodological issues related to the estimation of financial distress prediction models”, Journal of Accounting Research, Vol. 22, pp. 59-82.10.2307/2490859