I read it thoroughly its a good to read Read More
Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
COMPUTATIONS OF REINSURANCE PREMIUMS.pdf (1.07 MB)
COMPUTATION OF REINSURANCE PREMIUMS BY INCORPORATING A COMPOSITE LORGNORMAL MODEL IN A RISK-ADJUSTED PREMIUM PRINCIPLE: APPLICATION TO GAM’S AUTOMOBILE INSURANCE BRANCH
This paper presents a formula for calculating a reinsurance premium which has been
determined by incorporating a lognormal-burr model into a risk-adjusted premium calculating
principle called the PH-transform principle. The lognormal-burr model has been selected and
validated as the best fitting model for the used insurance data among the eight candidates of
composite lognormal models. The formula has then been applied in calculating reinsurance
premiums for an automobile insurance branch under an excess of loss non-proportional
reinsurance treaty.
determined by incorporating a lognormal-burr model into a risk-adjusted premium calculating
principle called the PH-transform principle. The lognormal-burr model has been selected and
validated as the best fitting model for the used insurance data among the eight candidates of
composite lognormal models. The formula has then been applied in calculating reinsurance
premiums for an automobile insurance branch under an excess of loss non-proportional
reinsurance treaty.
History
Declaration of conflicts of interest
The Author declares that there are no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.Corresponding author email
g.chambashi@zambia.unicaf.orgLead author country
- Zambia
Lead author job role
- Higher Education Lecturer
Lead author institution
Unicaf UniversityTerms agreed
- Yes, I agree to Advance terms
Comments (3)
Log in to write your comment here...
Thank you. The published version is on DOI: 10.4236/jmf.2023.131001
Thank you. The published version is on https://www.scirp.org/journal/paperinformation.aspx?paperid=122522 DOI: 10.4236/jmf.2023.131001
