Special Issue "Credibility Theory: New Developments and Applications"

A special issue of Risks (ISSN 2227-9091).

Deadline for manuscript submissions: closed (31 May 2018)

Special Issue Editor

Guest Editor
Prof. Dr. Emilio Gómez-Déniz

Department of Quantitative Methods in Economics and Business Administration. University of Las Palmas de Gran Canaria, Spain
Website | E-Mail
Interests: Distributions Theory; Bayesian Statistics; Robustness; Bayesian Applications in Economics (Actuarial, Credibility, Ruin Theory)

Special Issue Information

Dear Colleagues,

Credibility theory is a powerful statistical tool used in the actuarial sciences to accurately predict uncertain future events by using the classical and Bayesian approach. This methodology, apart from including a huge variety of attractive and nicely formulated mathematical structure (i.e. models are derive from different approaches, classical and Bayesian statistics, functional analysis -Hilbert spaces- of the classical regression -least squares method-, etc.), its implementation is straightforward. Its major field of application, although not limited to, is the calculation of insurance premiums (mainly in the automobile sector), bonus-malus systems, reinsurance, operational risks, etc. The main objective is to jointly use two fundamental sources of information, individual and collective information (insurance portfolio, which has a heterogeneous character) with the goal of computing a fair insurance rate. In recent years, mainly due to computer advances, classic and Bayesian regression models have also played a prominent role in this discipline.

This Special Issue is open to both original research articles and review articles within the area of credibility theory.

Prof. Dr. Emilio Gómez Déniz
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Risks is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Bayesian
  • Bonus-Malus
  • Claims and Loss Distribution
  • Non-Life Insurance
  • Premium
  • Reinsurance
  • Risk Measure.

Published Papers (1 paper)

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Research

Open AccessArticle Multivariate Credibility in Bonus-Malus Systems Distinguishing between Different Types of Claims
Received: 5 March 2018 / Revised: 6 April 2018 / Accepted: 8 April 2018 / Published: 11 April 2018
PDF Full-text (319 KB) | HTML Full-text | XML Full-text
Abstract
In the classical bonus-malus system the premium assigned to each policyholder is based only on the number of claims made without having into account the claims size. Thus, a policyholder who has declared a claim that results in a relatively small loss is
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In the classical bonus-malus system the premium assigned to each policyholder is based only on the number of claims made without having into account the claims size. Thus, a policyholder who has declared a claim that results in a relatively small loss is penalised to the same extent as one who has declared a more expensive claim. Of course, this is seen unfair by many policyholders. In this paper, we study the factors that affect the number of claims in car insurance by using a trivariate discrete distribution. This approach allows us to discern between three types of claims depending wether the claims are above, between or below certain thresholds. Therefore, this model implements the two fundamental random variables in this scenario, the number of claims as well as the amount associated with them. In addition, we introduce a trivariate prior distribution conjugated with this discrete distribution that produce credibility bonus-malus premiums that satisfy appropriate traditional transition rules. A practical example based on real data is shown to examine the differences with respect to the premiums obtained under the traditional system of tarification. Full article
(This article belongs to the Special Issue Credibility Theory: New Developments and Applications)
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