Using soft computing techniques to create a hyrid model for predicting chapter 11 return to shareholders

Kuldeep Kumar, Clarence Tan, Ericka Norman, Violet Torbey, Dennis Drew

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationComputational Intelligence for Modelling, Control and Automation 2004 Proceedings
EditorsM Mahammadian
Place of PublicationAustralia
Pages845-853
Number of pages9
Publication statusPublished - Jul 2004
EventInternational Conference on Computational Intelligence for Modelling Control and Automation - Sheraton Mirage, Gold Coast, Australia
Duration: 12 Jul 200414 Jul 2004
http://www.lt-world.org/kb/communication-and-events/events/conferences/obj_64557

Conference

ConferenceInternational Conference on Computational Intelligence for Modelling Control and Automation
Abbreviated titleCIMCA 2004
CountryAustralia
CityGold Coast
Period12/07/0414/07/04
Internet address

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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). Australia .