Results 31 to 40 of about 1,049 (171)

Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting

open access: yesRisks, 2023
Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency–severity models assume
Carina Clemente   +2 more
doaj   +1 more source

Supplementing Traditional Ratemaking w/ Advanced Telematics

open access: yes, 2023
This project analyzes the sponsor company’s telematics program by tracking and projecting program growth, comparing telematics driving scores to common ratemaking attributes, and investigating the correlation of score to future loss experience.
LaCross, Matthew   +2 more
core   +3 more sources

Market failure in the municipal economy

open access: yesEkonomia i Prawo, 2009
The aim of this paper is, firstly, to assess the main factors of market failure in the municipal economy and, secondly, to show its practical consequences for the regulatory framework.
Piotr Jeżowski
doaj   +1 more source

Measurement and Impact of Longevity Risk in Portfolios of Pension Annuity: The Case in Sub Saharan Africa

open access: yesFinTech, 2023
Longevity is without a doubt on the rise throughout the world due to advances in technology and health. Since 1960, Ghana’s average annual mortality improvement has been about 1.236%.
Samuel Asante Gyamerah   +3 more
doaj   +1 more source

The Application of Bühlmann-Straub Model to the Estimation of Net Premium Rates Depending on the Age of the Insured in the Motor Hull Liability Insurance

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2016
One of the basic variables used in the process of tariff calculation of premiums in motor hull liability insurance is the age of the insured. In this type of insurance offered by insurers operating on the Polish market, this variable is taken into ...
Anna Szymańska
doaj   +1 more source

On automobile insurance ratemaking [PDF]

open access: yesASTIN Bulletin, 1968
Suppose that an automobile insurance plan is characterized by a double classification. The risks are thus divided into classes, i = 1, 2, …, p (e.g. defined by use of car and age of operator), and groups j = 1, 2, …, q (e.g. defined by licence and by accidents during the last three years).
openaire   +1 more source

Personalization as a promise: Can Big Data change the practice of insurance?

open access: yesBig Data & Society, 2020
The aim of this article is to assess the impact of Big Data technologies for insurance ratemaking, with a special focus on motor products.The first part shows how statistics and insurance mechanisms adopted the same aggregate viewpoint.
Laurence Barry, Arthur Charpentier
doaj   +1 more source

Bayesian Approach to Simultaneous Variable Selection and Estimation in a Linear Regression Model with Applications in Driver Telematics

open access: yesMathematics
This article proposes a novel application of the Bayesian variable selection framework for driver telematics data. Unlike the traditional LASSO, the Bayesian variable selection framework allows us to incorporate the importance of certain features in ...
Himchan Jeong, Minwoo Kim
doaj   +1 more source

Actuarial Impacts of Loss Cost Ratio Ratemaking in U.S. Crop Insurance Programs

open access: yesJournal of Agricultural and Resource Economics, 2011
This study examines the actuarial implications of the loss cost ratio (LCR) ratemaking methodology employed by the Risk Management Agency as a component of base rates for U.S.
Joshua D. Woodard   +2 more
doaj   +1 more source

Techniques for analyzing the impacts of certain electric-utility ratemaking and regulatory-policy concepts. Glossary [PDF]

open access: yes, 1980
This document, Glossary, is the first in a series of reports to identify, describe, and apply techniques for analyzing the impacts of certain electric utility concepts. This report was developed with a focus on the currently evolving issues of ratemaking,

core   +1 more source

Home - About - Disclaimer - Privacy