Bankruptcy prediction is a problem that is becoming more and more interesting. This problem concerns in particular financial and accounting researchers. Nevertheless, it is a field that gathers the focus of companies, creditors, investors and in general firms which are interested in investments or ...
Bankruptcy Prediction for Credit Risk Using Neural Networks: A Survey and New Results. Presents a study on bankruptcy prediction, with emphasis on neural-network (NN) models. Review of bankruptcy prediction models; Challenges for the NN predi... Atiya,F Amir - 《IEEE Transactions on Neural Netw...
For this reason, company crisis/bankruptcy prediction aims to assess the financial health and future performance of a company. The existing literature has mainly focused on financial aspects, obtaining results with a good prediction rate in the short-term; normally 12 months (Altman, 2014, Altman ...
The Polish economy went through a transition from a centrally-planned economy to capitalism about twenty years ago. Therefore in almost every area of economic science, Polish economists frequently find that theories created for developed countries are no
Bankruptcy Prediction Using Ex Ante Neural Networks and Realistically Proportioned Testing Sets The objective of this study is to assess the viability of a neural network in the prediction of bankruptcy, using a more realistic setting than has generally been examined in the past. In order for ...
Financial ratios, discriminant analysis and the prediction of corporate bankruptcy Journal of Finance (1968) B. Baesens et al. Using neural network rule extraction and decision tables for credit-risk evaluation Management Science (2003) B. Baesens et al. Bench-marking state of the art classification...
The neural network is the best method for bankruptcy prediction 11 . However, the findings showed that the case-based forecasting predictive abilities are higher than other statistically methods (MDA, Logit and Probit model). 6 7 Observations from June 1989 to end of 1992 are testing sample ...
Due to the economic significance of bankruptcy prediction of companies for financial institutions, investors and governments, many quantitative methods have been used to develop effective prediction models. Support vector machine (SVM), a powerful classification method, has been used for this task; howev...
bankruptcy status of the sampled firms. This discriminant model was then validated in both a descriptive and a predictive sense. For the former, the selected model was used to classify the original sample from which the discriminant function was developed; the model c...
This paper presents a meta-learning framework, which is composed of two-level classifiers for bankruptcy prediction. The first-level multiple classifiers perform the data reduction task by filtering out unrepresentative training data. Then, the outputs of the first-level classifiers are utilized to ...