Results 31 to 40 of about 643,417 (205)
The importance of the choice of test for finding evidence of asymmetric information [PDF]
, 2014 We put one of the predictions of adverse-selection models to the test, using data from the Danish automobile insurance market: that there is a positive correlation between claims risk and insurance coverage.
Nielsen, Jens Perch +2 more
core +1 more source
İstanbul Hukuk Mecmuası, 2021 Vehicles with foreign license plates can only be accepted in Turkey if they are insured with compulsory automobile liability insurance at the border gate or with Green Card Insurance valid for Turkey as required by regulations.
Musa Aygül
doaj +1 more source
Asymmetric information, self-selection and pricing of insurance contracts: the simple no-claims case [PDF]
, 2014 This article presents an optional bonus-malus contract based on a priori risk classification of the underlying insurance contract. By inducing self-selection, the purchase of the bonus-malus contract can be used as a screening device.
Tanggaard, Carsten +7 more
core +1 more source
Revisiting the Moral Hazard Problem: Evidence from Automobile Insurance Sector
Siyasal: Journal of Political SciencesAsymmetric information, a market failure, is frequently observed in insurance markets involving risk and uncertainty. Asymmetric information arises from moral hazard, adverse selection, and the principal-agent problem.
İsa Sağbaş +2 more
doaj +1 more source
Sosyal Ekonomik Araştırmalar Dergisi, 2016 Kasko sigortacılığında müşteri davranışlarının belirlenmesinde demografik, psikolojik, ekonomik ve sosyo-kültürel özellikler hem müşterinin satın alma ya da almama davranışını etkilemesi bakımından hem de sigortacının üreteceği ürüne ait özelliklerin ...
Ece Demiray Erol, Dilek Alma
doaj +1 more source
A Sequential Deep Learning and Ensemble Framework for Claim Occurrence and Severity Prediction in Telematics-Based Auto Insurance [PDF]
مجلة العلوم التجارية والبيئيةThe traditional approach to automobile insurance pricing relies predominantly on demographic and vehicle characteristics such as driver age, gender, marital status, vehicle type, and geographical location.
Gaber Sallam Salem Abdalla
doaj +1 more source
Modelling Unobserved Heterogeneity in Claim Counts Using Finite Mixture Models
Risks, 2020 When modelling insurance claim count data, the actuary often observes overdispersion and an excess of zeros that may be caused by unobserved heterogeneity.
Lluís Bermúdez +2 more
doaj +1 more source
On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio
Risks, 2018 We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for an ordered stereotype model (OSM).
Tatjana Miljkovic +1 more
doaj +1 more source
Regional risk classification in emerging automobile insurance markets using Bayesian Hurdle models
Discover AnalyticsAccurate risk classification in automobile insurance claim frequency in emerging markets remains a critical challenge for actuarial practice and regulatory oversight.
Laurent L. Lulu +2 more
doaj +1 more source