Early warning model with statistical analysis procedures in Turkish insurance companies

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dc.contributor.authorGulsun, Isseveroglu
dc.contributor.authorUmit, Gucenme
dc.date.accessioned2024-09-18T20:28:00Z
dc.date.available2024-09-18T20:28:00Z
dc.date.issued2010
dc.departmentHatay Mustafa Kemal Ãœniversitesien_US
dc.description.abstractIn this study, we have developed and tested a statistical early warning model to identify companies experiencing deteriorating financial health by examining 45 insurance companies acting in non-life elementary branches of insurance during the period between 1992 and 2006. We developed the model using data regarding 45 dependent and 17 independent variables and logit model. The present study extends previous analyses by using relatively more comprehensive accounting data in logit analysis. This study compared the ability of logit, discriminant and regression analyses to predict insurance company underperformance. The same model, comprised of identical variables, was obtained as the result of the multiple regression and multiple discriminator methods. When comparing the predictive ability of all three models, the logit model showed slightly better prediction ability than the other models. The three models used information from 2003 - 2006 to predict the performance of insurance companies in 2007. The research demonstrates that logit analysis has a strong potential.en_US
dc.identifier.endpage630en_US
dc.identifier.issn1993-8233
dc.identifier.issue5en_US
dc.identifier.startpage623en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/10671
dc.identifier.volume4en_US
dc.identifier.wosWOS:000277613700009en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherAcademic Journalsen_US
dc.relation.ispartofAfrican Journal of Business Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInsurance companiesen_US
dc.subjectearly warningen_US
dc.subjectdiscriminator analysisen_US
dc.subjectregression analysisen_US
dc.subjectfinancial failureen_US
dc.subjectfinancial non-failureen_US
dc.subjectfinancial analysisen_US
dc.titleEarly warning model with statistical analysis procedures in Turkish insurance companiesen_US
dc.typeArticleen_US

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