Calculation models of net risk premiums for RCA insurance contracts
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2024-04-26 12:32
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330.4:364 (2)
Математическая экономика (126)
Социальное обеспечение. (541)
SM ISO690:2012
NASTASE (DUMITRACHE), Adriana. Calculation models of net risk premiums for RCA insurance contracts. In: Creşterea economică în condiţiile globalizării, Ed. 17, Volumul 2, 12-13 octombrie 2023, Chișinău. Chisinau, Moldova: Departamentul Editorial-Poligrafic al ASEM, 2023, Ediția 17, Volumul II, pp. 280-287. ISBN 978- 9975-167-19-2. DOI: https://doi.org/10.36004/nier.cecg.III.2023.17.34
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Dublin Core
Creşterea economică în condiţiile globalizării
Ediția 17, Volumul II, 2023
Conferința "Creşterea economică în condiţiile globalizării"
17, Volumul 2, Chișinău, Moldova, 12-13 octombrie 2023

Calculation models of net risk premiums for RCA insurance contracts

DOI:https://doi.org/10.36004/nier.cecg.III.2023.17.34
CZU: 330.4:364
JEL: G22, G52, I13, J65

Pag. 280-287

Nastase (Dumitrache) Adriana
 
Romanian Academy of Science
 
 
Disponibil în IBN: 7 februarie 2024


Rezumat

Abstract. Starting from the fundamental role of insurance, that of providing protection by the insurer to the person interested in concluding an insurance contract (the insured) in exchange for the insurance premium (insurance price), advanced mathematical models have been developed for the appropriate determination of the insurance price. In Romania, RCA insurance is one of the most regulated insurances due to the importance it occupies from the point of view of the volume of gross premiums subscribed. In the total of gross premiums written in Romania, both general and life insurance, RCA insurance holds on average in the period 2014-2022 approximately 47.5%, hence the motivation for this research topic in order to establish the most appropriate premium for the insured RCA portfolio. In the case of non-life insurance, the estimation of the pure insurance premium is carried out with the help of generalized linear models (GLM). The segmentation of the insured portfolio into homogeneous risk classes is more than necessary for choosing the optimal explanatory variables, which reproduce the behavior of the response variable as accurately as possible.

Cuvinte-cheie
Insurance, generalized linear model, distribution