Dynamic analysis of the forecasting bankruptcy under presence of unobserved heterogeneity-Reference-Cited by-同舟云学术

Dynamic analysis of the forecasting bankruptcy under presence of unobserved heterogeneity

Published:2016-02-25 Issue:2 Volume:262 Page:241-256
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Abid Ilyes,Mkaouar Farid,Kaabia Olfa

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

http://link.springer.com/article/10.1007/s10479-016-2143-2/fulltext.html

Reference32 articles.

1. Abid, I. (2011). Modelling of business failure prediction by statistic and dynamic approaches : neural networks, Bayesian networks, duration and dichotomous models. Thesis. University of Paris West Nanterre, La Defense.

2. Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4), 589–609.

3. Altman, E. I., Sabato, G., & Wilson, N. (2010). The value of non-financial information in SME risk management. Journal of Credit Risk, 6(2), 95–127.

4. Amemiya, T. (1985). Advanced Econometrics. Cambridge, MA: Havard University Press.

5. Bataille, E., Bruneau, C., Flageollet, A., & Michaud, F., (2005). Cycle de conjoncture et risque de faillite : un lien ?. Note d’étude et de recherche de l’Observatoire des Entreprises - Banque de France.

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