{"title":"Hayat Ve Hayat Dışı Sigorta Şirketlerinin Teknik Karlılıklarını Etkileyen Firmaya Özgü Faktörlerin Analizi","authors":"H. Genç","doi":"10.25095/mufad.949744","DOIUrl":null,"url":null,"abstract":"In this study, 10 life insurance companies and 10 non life insurance companies operating in Turkey were discussed and the factors affecting their technical profitability were analyzed by using Panel Autoregressive Distributed Lag method. The analysis used 15 years of data between 2005 and 2019. The status of insurance companies operating in life and non-life branches has been analyzed separately. A total of 300 data were provided for each insurance group, totaling 150. As a result of the analysis, it was seen that the most important indicator that positively affects technical profitability in life insurance companies is investment income and the earned premium in non-life insurance companies. In addition, it was found that the increase in operating expenses in both groups negatively affected technical profitability with high coefficient and statistically significant.","PeriodicalId":150564,"journal":{"name":"Muhasebe ve Finansman Dergisi","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Muhasebe ve Finansman Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25095/mufad.949744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hayat Ve Hayat Dışı Sigorta Şirketlerinin Teknik Karlılıklarını Etkileyen Firmaya Özgü Faktörlerin Analizi
In this study, 10 life insurance companies and 10 non life insurance companies operating in Turkey were discussed and the factors affecting their technical profitability were analyzed by using Panel Autoregressive Distributed Lag method. The analysis used 15 years of data between 2005 and 2019. The status of insurance companies operating in life and non-life branches has been analyzed separately. A total of 300 data were provided for each insurance group, totaling 150. As a result of the analysis, it was seen that the most important indicator that positively affects technical profitability in life insurance companies is investment income and the earned premium in non-life insurance companies. In addition, it was found that the increase in operating expenses in both groups negatively affected technical profitability with high coefficient and statistically significant.
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