LOGIT MODELS FOR PREDICTING BANKRUPTCY
Abstract
Going into bankruptcy represents main driver of company credit risk, because of which the monitoring of doing business is considered justified. Models that forecast company’s going into bankruptcy are efficient tool with whose application risk of doing business can be reduced. In the paper, the first models built on the foundations of logistic regression are presented. These models also have the biggest application in practice. Advantages and disadvantages of logit model for forecasting of bankruptcy are highlighted. Short display of logit model is incurred for concrete markets with special characteristics among which is market of Republic of Serbia too.
Published
2018/03/28
Section
Review Paper
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).