|dc.description.references||Altman, E.I., "Financial Ratios, Discriminant Analysis and the Prediction of Corporate
Bankruptcy", The Journal of Finance (September 1968), pp. 589-609
Altman, E.I., Haldeman, R.G. & Narayanan, P., "ZETA Analysis, A new model to identify
bankruptcy risk of corporations", Journal of Banking and Finance (June 1977), pp. 29-54
Altman, E.I., & Spivack, J., "Predicting Bankruptcy: The Value Line Relative Financial
Strength vs the ZETA Bankruptcy Classification Approach", Financial Analysts Journal
(November - December 1983), pp. 60-67
Altman, E.I., Marco, G. & Varetto, F., "Corporate distress diagnosis: Comparisons using
linear discriminant analysis and neural networks (the Italian experience)", Journal of
Banking and Finance, Vol 18 (1994), pp. 505-529.
Altman, E.I., Eom, Y.H. & Kim, D.W., "Failure Prediction: Evidence from Korea", Journal
of International Financial Management and Accounting , Vol 6:3 (1995), pp. 230-249
Beaver, W.H., "Financial Ratios as Predictors of Failure", Empirical Research in
Accounting, Supplement to Journal of Accounting Research (1966), pp. 71-111.
Caudill, M., "Neural Network Training Tips and Techniques", AI Expert, Vol 6(1), Jan 1991,
Chu, C. & Widjaja, D., "Neural network system for forecasting method selection", Decision
Support Systems, Vol 12 (1994), pp. 13-24
Coats, P. & Fant, L., "Recognising Financial Distress Patterns using a Neural Network
Tool", Financial Management (Autumn 1993), pp. 142-155.
Demaris, A., Logit Modeling: Practical Applications, Sage Publications, 1992
Ferner, D. G. & Hamilton, R.T., "A note on the predictability of Financial Distress in New
Zealand Listed Companies", Accounting and Finance (May 1987), pp. 55-63.
Fletcher, D. & Goss, E., "Forecasting with Neural Networks: An application using
Bankruptcy Data", Information and Management, Vol 24 (1993), pp. 159-167.
Foster, G., Financial Statement Analysis, Second edition (Prentice-Hall International Editions,
1986), pp. 533-572.
Gilbert, L., Menon, K. & Schwartz, K. "Predicting Bankruptcy for firms in Financial
Distress", Journal of Finance and Accounting, Vol 17(1), (Spring 1990), pp. 161-171
Hartwig, F. & Dearing, B., Exploratory Data Analysis, Sara Miller McCune (Sage
Publications Inc, 1979)
Heine, M.L., "Predicting Financial Distress of Companies: Revisiting the Z-Score and
ZETA® Models", Paper prepared for the Korean Institute of Finance Conference on Bank
Credit Risk Management, Seoul, Korea (June 28-30, 1995).
Hill, T., Marquez, L., O'Connor, M. & Remus, W., "Artificial Neural Network Models for
forecasting and decision making", International Journal of Forecasting, Vol. 10 (1994), pp. 5-
Jones, F.L., "Current Techniques in Bankruptcy Prediction", Journal of Accounting
Literature, Vol 6 (1987), pp. 131-164
Karels, G.V. & Prakash, A.J., "Multivariate Normality and Forecasting of Business
Bankruptcy", Journal of Banking and Finance, Vol 14(4), (Winter 1987), pp. 573-593
Kasabov, N., Alberton, T., Garden, J., Jones, P., Bailey, M., Gray, A. & Sinclaire, S.,
FuzzyCOPE, Version 1.0, User Manual, Information Science Department, University of
Lam, L.Y., 'Empirical Research in Financial Distress Prediction", Chapter 3, Masters
Thesis, Department of Accountancy, Victoria University of Wellington, pp. 22-51, 1994.
Lau, A. H., "A Five State Financial Distress Prediction Model", Journal of Accounting
Research (Spring 1987), pp 32-33.
Maddala, S., Introduction to Econometrics,(New York: Macmillan, Collier Macmillan, 1988),
Chapter 8, pp. 267-283
Manly, B.F.J., Multivariate Statistical Methods: A Primer, second edition, (Chapman & Hall,
London, UK, 1994), pp. 107-127
Mear, R. & Firth, M., "A note on the Financial Variable and Ratio Structure of New Zealand
Listed companies", Accounting and Finance (May 1988), pp. 47-56
Udo. G., "Neural Network Performance on the Bankruptcy Classification Problem",
Computers and Industrial Engineering, Vol 25, No.'s 1-4 (1993), pp. 377-380
Palepu, K. G., "Predicting Takeover Targets: A Methodological and Empirical Analysis",
Journal of Accounting and Economics, Vol 8 (1986), pp. 3-35.
Peterson, K., "Chapter 11 Bankruptcy", Memorandum from Standard & Poor's
COMPUSTAT head office in Denver, USA (February 18, 1993).
Pinches, G., Mingo, K. & Caruthers, J. "The Stability of Financial Patterns in Industrial
Organisations", Journal of Finance (May 1973), pp. 389-396
Pindyick, R.S. & Rubinfiled, D.L., Econometric Models and Economic Forecasts, Second
Edition (McGraw-Hill, International Editions, 1981), pp. 273-315
Robb, A.J., "Zeta Analysis", Letters to the Editor, The Accountants Journal (June 1981), pp. 184-185.
Rochester, J.B., "New Business Uses for Neurocomputing", I/S Analyzer, Vol 28(2) (February
1990), pp. 1-16
Salchenberger, L.M., Cinar, E.M. & Lash, N.A., "Neural Networks: A new Tool for
Predicting Thrift Failures", Decision Sciences, Vol 23 (1992), pp. 899-916
Sommerville, L., "Financial Distress Prediction", Unpublished Dissertation, University of
SPSS For WindowsTM, Base System User's Guide, Release 6.0, Marija J. Noruis, SPSS Inc,
Chicago, USA (1993)
SPSS Professional Statistics TM 6.1, Marija J. Noruis, SPSS Inc., Chicago, USA (1993), pp.
SPSS Advanced Professional Statistics TM 6.1, Marija J. Noruis, SPSS Inc., Chicago, USA
(1993). pp. 1-50
Standard & Poor's COMPUSTAT, Users Guide (MacGraw-Hill Inc., Englewood, 1994)
Stone, M. & Rasp, J, "The Assessment of Predictive Accuracy and Model Overfitting: An
Alternative Approach", Journal of Business Finance and Accounting, Vol 20(1) (January
1993), pp. 125-131
Tabb, J. B. & Wong. J., "Predicting Company Failure", The Accountants Journal (May
1983), pp. 176-178.
Tam, K.Y. & Kiang, M.Y., "Managerial Applications of Neural Networks: The Case of Bank
Failure Predictions", Management Science, Vol 38(7), July 1992, pp. 926-947
Tsukuda, J. & Baba, S., "Predicting Japanese Corporate Bankruptcy in terms of Financial
Data using Neural Network", Computers and Industrial Engineering, Vol 27(1-4), Sept 1994,
Wilson, R. & Sharda, R., "Bankruptcy prediction using neural networks", Decision Support
Systems, Vol 11 (1994), pp. 545-557.
Zmijewski, M. "Methodological issues relating to the estimation of financial distress
prediction models", Journal of Accounting Research (Supplement) (1984), pp. 59-82||en_NZ