When Enron and World Com filed for bankruptcy the shock was felt worldwide; bankruptcy prediction and bankruptcy recovery prediction have been receiving more attention as people are looking for signs. While there has been extensive research into the area of bankruptcy prediction, there has been little research done on the return to shareholders after companies are released from Chapter 11 bankruptcies in the USA. This study focuses on the creation of a model for predicting the return to shareholders using a hybrid of expert systems and recursive partitioning models. Software used in the creation of the models include; See5,Cubist, and Excel.
|Title of host publication||Computational Intelligence for Modelling, Control and Automation 2004 Proceedings|
|Place of Publication||Australia|
|Number of pages||9|
|Publication status||Published - Jul 2004|
|Event||International Conference on Computational Intelligence for Modelling Control and Automation - Sheraton Mirage, Gold Coast, Australia|
Duration: 12 Jul 2004 → 14 Jul 2004
|Conference||International Conference on Computational Intelligence for Modelling Control and Automation|
|Abbreviated title||CIMCA 2004|
|Period||12/07/04 → 14/07/04|
Kumar, K., Tan, C., Norman, E., Torbey, V., & Drew, D. (2004). Using soft computing techniques to create a hyrid model for predicting chapter 11 return to shareholders. In M. Mahammadian (Ed.), Computational Intelligence for Modelling, Control and Automation 2004 Proceedings (pp. 845-853).