Results 31 to 40 of about 5,219 (196)

THE UTILIZATION OF TRANSITION MATRIX IN BONUS-MALUS SCHEME FOR DETERMINING MOTOR VEHICLE INSURANCE PREMIUMS

open access: yesBarekeng
Motor vehicle usage in Indonesia ranks among the highest globally, reaching approximately 141,992,573 units. The growing variety and number of automobiles contribute significantly to traffic congestion and heightened risks to public safety.
Seftina Diyah Miasary   +2 more
doaj   +1 more source

Special insurance systems for motor vehicle liability [PDF]

open access: yes, 2013
Automobile insurance is a compulsory purchase for most drivers in Europe and the United States. Obviously, this obligation raises concerns about affordability and availability. To mitigate such problems, in most legal systems special facilities have been
De Mot, Jef, Faure, Michael
core   +3 more sources

Bonus-Malus Systems: “Lack of Transparency” and Adequacy Measure [PDF]

open access: yesASTIN Bulletin, 2002
AbstractBased on a recent contribution by Baione and others in this Journal, some consequences of the decrease of the mean merit coefficient for portfolios of Bonus-Malus policies, and some alternative ways to measure the “quality” of a Bonus-Malus system are discussed.
openaire   +3 more sources

Dynamic Pricing Models for Automobile Insurance [PDF]

open access: yesFinancial Markets, Institutions and Risks
The accurate pricing of automobile insurance remains a critical challenge, particularly in markets where traditional models fail to capture risk heterogeneity.
Lynda Ait Bachir   +2 more
doaj   +1 more source

ON THE AGGREGATION OF EXPERTS' INFORMATION IN BONUS–MALUS SYSTEMS [PDF]

open access: yesASTIN Bulletin, 2017
AbstractIn this paper, we propose a new family of premium calculation principles based on the use of prior information from different sources. Under this framework and based on the use of Ordered Weighted Averaging operators, we provide alternative collective and Bayes premiums and describe some approaches to efficiently compute them.
Blanco, Víctor   +1 more
openaire   +4 more sources

Does Proactivity Affect Insurance Solidarity and Individual Responsibility?

open access: yesThe British Journal of Sociology, EarlyView.
ABSTRACT Over the past 20 years, the insurance industry has been experimenting with technological innovations that deeply affect its business model and social function. This article explores the use of digital technologies to monitor policyholders' behaviour and personalise their insurance coverage.
Alberto Cevolini, Elena Esposito
wiley   +1 more source

Optimal claim behaviour for third-party liability insurances or to claim or not to claim: that is the question [PDF]

open access: yes, 1990
It is proved that the optimal decision rule to claim or not to claim for damage is of the form: ‘to claim for damage only if its amount exceeds a certain limit’.
Altick   +38 more
core   +3 more sources

Welfare implications of fair and accountable insurance pricing

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract This paper introduces an empirical framework to evaluate the welfare implications of fair and accountable insurance pricing by modeling the complete pricing process, including demand and price optimization. Moving beyond traditional cost modeling, we analyze both discrimination‐related fairness criteria and broader regulatory constraints, such
Fei Huang, Hajime Shimao
wiley   +1 more source

Selection in car insurance when claims are heterogeneous

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract Econometric studies of insurance markets have analyzed the Positive Correlation Property to test for the presence of asymmetric information. Car‐insurance studies frequently compare policies purchasing Mandatory Third‐Party Liability alone with policies that purchase additional coverage and use the presence of a liability claim as a measure of
Edmund Cannon   +2 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang   +12 more
wiley   +1 more source

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