Results 11 to 20 of about 643,417 (205)

LIBERALISATION OF TARIFFS ON MARKET MTPL INSURANCE OF REPUBLIC OF SRPSKA [PDF]

open access: yesSTED Journal, 2019
Good set price in MTPL(motor third part liability) insurance is vital to the survival of insurers. MTPL insurance in the Republic of Srpska is legal liability insurance, the premium system is determined administratively, and premium of this kind of ...
Boriša Stevanović
doaj   +1 more source

Automobile insurance in Brazil: market concentration and demand

open access: yesRevista Contabilidade & Finanças, 2019
This paper studies two aspects of the automobile insurance market in Brazil: first, it determines the degree of competition among insurance companies, and second, it estimates and analyzes the demand for automobile insurance.
Vivileine Maria Peres   +2 more
doaj   +1 more source

Comparisons Between Macedonian and A U.S. State’s Automobile Accident Insurance Law

open access: yesSEEU Review, 2023
This paper explores some of the basic similarities and differences between fault-based and no-fault systems of automobile accident insurance from the perspective of a U.S. state and the laws of Macedonia. The majorities of U.S.
Carrier Paul J.
doaj   +1 more source

A Survey of the Individual Claim Size and Other Risk Factors Using Credibility Bonus-Malus Premiums

open access: yesRisks, 2020
In this paper, a flexible count regression model based on a bivariate compound Poisson distribution is introduced in order to distinguish between different types of claims according to the claim size. Furthermore, it allows us to analyse the factors that
Emilio Gómez-Déniz   +1 more
doaj   +1 more source

Analysis of the dependence structure among insurance risks in Iran's insurance company: Cointegration approach [PDF]

open access: yesIranian Journal of Insurance Research
BACKGROUND AND OBJECTIVES: Examining the long-term relationships and cointegration among different branches of insurance is crucial for understanding risk management and financial stability in the insurance industry.
Zeynolabedin Aghilifar   +3 more
doaj   +1 more source

Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection

open access: yesJournal of King Saud University: Computer and Information Sciences, 2020
This paper presents a novel hybrid approach for detecting frauds in automobile insurance claims by applying Genetic Algorithm (GA) based Fuzzy C-Means (FCM) clustering and various supervised classifier models.
Sharmila Subudhi, Suvasini Panigrahi
doaj   +1 more source

Did implementation of no-fault auto-insurance in British Columbia, Canada, impact return to work following road trauma? Protocol for a before–after survival analysis

open access: yesBMJ Open, 2023
Introduction Road trauma (RT) is a major public health problem that often results in prolonged absenteeism from work. Limited evidence suggests that recovery after RT is associated with automobile insurance compensation schemes.
Mieke Koehoorn   +5 more
doaj   +1 more source

Prediction of Insurance Fraud Detection using Machine Learning Algorithms

open access: yesMehran University Research Journal of Engineering and Technology, 2022
In current era, people are influenced with various types of insurance such as health insurance, automobile insurance, property insurance and travel insurance, due to the availability of extensive knowledge related to insurance.
Laiqa Rukhsar   +3 more
doaj   +1 more source

Automobile insurance fraud detection [PDF]

open access: yesCommunications in Statistics: Case Studies, Data Analysis and Applications, 2021
The risk of incurring financial losses from fraudulent claims is an issue concerning all insurance companies. The detection of such claims is not an easy task.
Mark Anthony Caruana, Liam Grech
openaire   +1 more source

Pricing automobile insurance using mixed Poisson distributions [PDF]

open access: yesIndustrija, 2018
Automobile insurance, particularly motor third liability insurance covers dominant share in the portfolio of non-life insurance in almost all countries of the world.
Simeunović Ivana   +2 more
doaj  

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