Results 11 to 20 of about 4,721 (215)

PROSPECTS FOR THE DEVELOPMENT OF MOTOR THIRD PARTY LIABILITY INSURANCE ON THE BULGARIAN INSURANCE MARKET [PDF]

open access: yesTrakia Journal of Sciences, 2019
The aim of the report is to examine the current and important for the society issues concerning one of the most widespread insurance products - Motor Third Party Liability Insurance. The report examines the use of Motor Third Party Liability insurance on
T. Andreeva
doaj   +1 more source

Bonus-malus Systems with Varying Deductibles [PDF]

open access: yesASTIN Bulletin, 2005
Bonus-malus systems typically lead to high maluses when claims at fault are reported. Such penalties are often difficult to implement in practice. It is shown in this paper that this drawback may be avoided by combining a posteriori premium corrections with a deductible varying according to the level occupied in the scale.
Pitrebois, Sandra   +2 more
openaire   +2 more sources

Road, tram and aircraft traffic noise annoyance related to the number of noise events and the equivalent sound level [PDF]

open access: yesArchives of Acoustics, 2022
Noise mapping is based on long-term noise indicators, such as L N or L DEN. On the other hand, transportation intensity changes during a day (road traffic peak hours) or a year (more flights during holidays) and this variability is not reflected in ...
Jan Felcyn, Patrycja Ptak
doaj   +1 more source

Fuzzy Markovian Bonus-Malus Systems in Non-Life Insurance

open access: yesMathematics, 2021
Markov chains (MCs) are widely used to model a great deal of financial and actuarial problems. Likewise, they are also used in many other fields ranging from economics, management, agricultural sciences, engineering or informatics to medicine. This paper
Pablo J. Villacorta   +2 more
doaj   +1 more source

Measuring sensitivity in a bonus–malus system [PDF]

open access: yesInsurance: Mathematics and Economics, 2002
113
Gómez, E.   +3 more
openaire   +2 more sources

Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]

open access: yes, 2020
Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien   +3 more
core   +1 more source

Bonus–malus systems with different claim types and varying deductibles

open access: yesModern Stochastics: Theory and Applications, 2017
The paper deals with bonus–malus systems with different claim types and varying deductibles. The premium relativities are softened for the policyholders who are in the malus zone and these policyholders are subject to per claim deductibles depending on ...
Olena Ragulina
doaj   +1 more source

Asymmetric information, self-selection and pricing of insurance contracts: the simple no-claims case [PDF]

open access: yes, 2013
This paper presents an optional bonus-malus contract based on a pri-ori 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.
Donnelly, Catherine   +3 more
core   +2 more sources

Multiple Bonus–Malus Scale Models for Insureds of Different Sizes

open access: yesRisks, 2022
How to consider the a priori risks in experience-rating models has been questioned in the actuarial community for a long time. Classic past-claim-rating models, such as the Buhlmann–Straub credibility model, normalize the past experience of each insured ...
Jean-Philippe Boucher
doaj   +1 more source

Legitimacy of Group-Specific Support for College Access – Results of an Experimental Vignette Study

open access: yesSwiss Journal of Sociology, 2022
In an experimental vignette study, the respondents were asked to decide whether college applicants should be credited with a bonus or malus on the admission grade, for example due to their migration background, social origin, or effort.
Hillmert Steffen   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy