Optimal Premium as a Function of the Deductible: Customer Analysis and Portfolio Characteristics
Julie Thøgersen
Additional contact information
Julie Thøgersen: Department of Mathematics, Aarhus University, 8000 Aarhus C, Denmark
Risks, 2016, vol. 4, issue 4, 1-19
Abstract:
An insurance company offers an insurance contract ( p , K ) , consisting of a premium p and a deductible K . In this paper, we consider the problem of choosing the premium optimally as a function of the deductible. The insurance company is facing a market of N customers, each characterized by their personal claim frequency, α , and risk aversion, β . When a customer is offered an insurance contract, she/he will, based on these characteristics, choose whether or not to insure. The decision process of the customer is analyzed in detail. Since the customer characteristics are unknown to the company, it models them as i.i.d. random variables; A 1 , … , A N for the claim frequencies and B 1 , … , B N for the risk aversions. Depending on the distributions of A i and B i , expressions for the portfolio size n ( p ; K ) ∈ [ 0 , N ] and average claim frequency α ( p ; K ) in the portfolio are obtained. Knowing these, the company can choose the premium optimally, mainly by minimizing the ruin probability.
Keywords: microeconomic insurance; customer characteristics; portfolio size; average claim frequency; ruin theory (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-9091/4/4/42/pdf (application/pdf)
https://www.mdpi.com/2227-9091/4/4/42/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:4:y:2016:i:4:p:42-:d:82430
Access Statistics for this article
Risks is currently edited by Mr. Claude Zhang
More articles in Risks from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().