Results 61 to 70 of about 6,066 (163)
Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 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
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Bayesian multivariate Poisson models for insurance ratemaking [PDF]
Insurance: Mathematics and Economics, 2011 When actuaries face the problem of pricing an insurance contract that contains different types of coverage, such as a motor insurance or a homeowner's insurance policy, they usually assume that types of claim are independent. However, this assumption may not be realistic: several studies have shown that there is a positive correlation between types of ...
Bermúdez, Lluís, Karlis, Dimitris
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New techniques in railroad ratemaking.
, 1968 Recent events suggest that the marketing of railroad services, if some thing less than aggressive, is not wholly devoid of ideas to meet new competitive situations. Several significant departures from traditional ratemaking practices have been proposed, and, having been to a degree accepted by a more enlightened Commission, have stemmed diversion and ...
McCallum, George +2 more
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THE TRANS-MISSOURI CASE: DOES THE SHERMAN ACT APPLY TO THE RAILROADS?
Essays in Economic and Business History, 2003 In 1887, in answer to railroad abuses of monopoly power, Congress passed the Interstate Commerce Act, which created the Interstate Commerce Commission (ICC).
Michael Landry, Richard Stone
doaj
Asset Pricing Models and Insurance Ratemaking [PDF]
ASTIN Bulletin, 1990 AbstractThis paper provides an introduction to asset pricing theory and its applications in non-life insurance. The first part of the paper presents a basic review of asset pricing models, including discrete and continuous time capital asset pricing models (the CAPM and ICAPM), arbitrage pricing theory (APT), and option pricing theory (OPT). The second
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Mixture of bivariate Poisson regression models with an application to insurance [PDF]
In a recent paper Bermúdez [2009] used bivariate Poisson regression models for ratemaking in car insurance, and included zero-inflated models to account for the excess of zeros and the overdispersion in the data set. In the present paper, we revisit this
Dimitris Karlis, Lluís Bermúdez
core
A priori ratemaking using bivariate Poisson regression models [PDF]
Insurance: Mathematics and Economics, 2008 In automobile insurance, it is useful to achieve a priori ratemaking by resorting to gene- ralized linear models, and here the Poisson regression model constitutes the most widely accepted basis. However, insurance companies distinguish between claims with or without bodily injuries, or claims with full or partial liability of the insured driver.
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, 2015 Governmental leaders, scholars, and activists have advocated for human rights to food, water, education, health care, and energy. Such rights, also called positive rights, place an affirmative duty upon the state to provide a minimum quantity and quality
Larson, Rhett B.
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Risk Classification for Claim Counts and Losses Using Regression Models for Location, Scale and Shape [PDF]
, 2015 This paper presents and compares different risk classi?cation models for the frequency and severity of claims employing regression models for location, scale and shape.
Frangos, N, Tzougas, G, Vrontos, S
core
RisksA Bonus–Malus System (BMS) is a ratemaking mechanism used in insurance to adjust premiums based on a policyholder’s claim history, with the goal of segmenting risk profiles more accurately.
Asrar Alyafie +2 more
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