Developing Financial Crisis Prediction Models for Ukrainian Insurance Companies by Using Logistic Regression
Journal Title: Наукові записки НаУКМА. Економічні науки - Year 2016, Vol 1, Issue 1
Abstract
The article discusses financial crisis prediction models developed for Ukrainian insurance companies by using conditional probability models, namely the logistic regression. The Superdiscretization procedure for the bankrupt insurers has been implemented in order to enhance the classification characteristics of the models. The paper introduces a criterion for selecting the most applicable logistic model.
Authors and Affiliations
Anton Lytvyn
Keywords
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- EP ID EP177662
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