Please use this identifier to cite or link to this item: http://dspace.univ-ouargla.dz/jspui/handle/123456789/16247
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dc.contributor.authorTarek TAHA-
dc.date.accessioned2017-
dc.date.available2017-
dc.date.issued2017-
dc.identifier.issn1112-3613-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/16247-
dc.descriptionRevue El Bahithen_US
dc.description.abstractLoss ratio is one of the most important indicator that has many strategic decisions applications, such as pricing, underwriting, investment, reinsurance and reserving decisions. It serves as an early warning of financial solvency of insurance companies and it can be judged on the strength of the financial position of these companies. The aim of this study is to identify the reliable time series-forecasting model to forecast loss ratio estimates of fire segment in Misr insurance company. Box-Jenkins Analysis is applied on actual reported loss ratios data for Misr insurance company for the period 1980/1981– 2013/2014. The study concludes that the best forecasting model is ARMA(1,1).en_US
dc.language.isofren_US
dc.relation.ispartofseriesNumber 17 2017 Foreign Sec;-
dc.subjectLoss Ratioen_US
dc.subjectFire Insuranceen_US
dc.subjectARIMAen_US
dc.subjectMisr Insurance Companyen_US
dc.titleForecasting Fire Insurance Loss Ratio in Misr Insurance Companyen_US
dc.typeArticleen_US
Appears in Collections:numéro 17 2017 foreign sec

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