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1. Options,_Futures_and_Other_Derivatives,_5th_ed_(Hull)_[Pearson_Education]
电子书,据说挺不错的
2. Lili Sun, 2007, A re-evaluation of auditors' opinions versus statistical models in bankruptcy prediction,reviwe Quanter Finance and Accounting, 28, pp 55-78
3. Thomas G., Calderon and John J. Cheh,2002, A roadmap for future neural networks research in auditing and risk assessment, International Journal of Accounting Information Systems, 3, pp 203-236
4. Balcaen S. and OOghe H., 2004, alternative methodologies in studies on business failure: do they produce better results than the classical statistical methods? working paper, Hoveniersberg 24, B-9000 GENT
5.Fitzpatrick, J. M., 2004,An empirical investigation of the dynamics of financial distress, PhD thesis, Department of finance and managerial economics, school of management, the state university of New York
6. Hall G. S., 2002, The macroeconomic and microeconomic factors influencing financial distress A comparison of Altman's 1983 and 1993 bankruptcy prediction models, MSc disseration, Nova Southeastern University.
7. Charalambous C, Charitou A and Kaourou F., 2000, Comparative Analysis of Artificial Neural Network Models: Application in Bankruptcy Prediction, Annals of Operations Research, 99, pp 403-425
8.Zopounidis C., Doumpos, M., 2002, Multicriteria classification and sorting methods A literature review, European Journal of Operational research, 138, pp 229-246
9. Charitou A., Neophytou, E., and Charalambous, C., 2004, Predicting corporate failure empirical evidence for the UK, 13, pp 465-497 |
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