Predicting the stock market is very difficult since it depends on several known and unknown factors. So many methods like Technical analysis, Fundamental analysis, Time series analysis and statistical analysis etc. are all used to attempt to predict the price in the share market but none of these methods are proved as a consistently acceptable prediction tool. Artificial neural network (ANN), a...

This study sampled companies listed on Taiwan Stock Exchange that examined financial distress between 2003 and 2009. It uses the survival analysis to find the main indicators which can explain the business bankruptcy in Taiwan. This paper uses the Cox Proportional Hazard Model to assess the usefulness of traditional financial ratios and market variables as predictors of the probability of busin...

Behavior analysis of credit cardholders is one of the main research topics in credit card portfolio management. Usually, the cardholder’s behavior, especially bankruptcy, is measured by a score of aggregate attributes that describe cardholder’s spending history. In real-life practice, statistics and neural networks are the major players to calculate such a score system for prediction. Recently,...

In this study, a multistage evolutionary programming (EP) based support vector machine (SVM) ensemble model is proposed for designing a corporate bankruptcy prediction system to discriminate healthful firms from bad ones. In the proposed model, a bagging sampling technique is first used to generate different training sets. Based on the different training sets, some different SVM models with dif...

Enterprise Credit Risk becomes important issue in financial and accounting. It includes bankruptcy prediction, financial distress, corporate performance clustering / prediction and credit risk estimation. This research aims to provide a state-of-the art review of the relative literature and indicate relevant research opportunities. We found that the current research trends are necessary a metho...