Equity-Indexed Life Insurance: Pricing and Reserving Using the Principle of Equivalent Utility

2003 ◽  
Vol 7 (1) ◽  
pp. 68-86 ◽  
Author(s):  
Virginia R. Young
Keyword(s):  
Life Insurance ◽  
Insurance Pricing

Investment Income and Non-Life Insurance Pricing

1975 ◽  
Vol 42 (4) ◽  
pp. 567 ◽  
Author(s):  
Lewis J. Spellman ◽  
Robert C. Witt ◽  
William F. Rentz
Keyword(s):  
Life Insurance ◽  
Insurance Pricing ◽  
Investment Income

scholarly journals Contributions from Spatial Models to Non-Life Insurance Pricing: An Empirical Application to Water Damage Risk

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2476
Author(s):  
Maria Victoria Rivas-Lopez ◽  
Roman Minguez-Salido ◽  
Mariano Matilla Matilla Garcia ◽  
Alejandro Echeverria Echeverria Rey
Keyword(s):  
Life Insurance ◽  
Spatial Information ◽  
Spatial Models ◽  
Spatial Error ◽  
Insurance Pricing ◽  
Insurance Portfolio ◽  
Spatial Autoregressive ◽  
Spatial Autoregressive Models ◽  
Insurance Data ◽  
Damage Risk

This paper explores the application of spatial models to non-life insurance data focused on the multi-risk home insurance branch. In the pricing modelling and rating process, spatial information should be considered by actuaries and insurance managers because frequencies and claim sizes may vary by region and the premium should be different considering this rating variable. In addition, it is relevant to examine the spatial dependence due to the fact that the frequency of claims in neighbouring regions is often expected to be more closely related than those in regions far from each other. In this paper, a comparison between spatial models, such as spatial autoregressive models (SAR), the spatial error model (SEM), and the spatial Durbin model (SDM), and a non-spatial model has been developed. The data used for this analysis are for a home insurance portfolio located in Spain, from which we have selected peril of water coverage.

scholarly journals Concordance Probability for Insurance Pricing Models

Risks ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 178
Author(s):  
Jolien Ponnet ◽  
Robin Van Oirbeek ◽  
Tim Verdonck
Keyword(s):  
Life Insurance ◽  
Real Life ◽  
Accurate Estimation ◽  
Large Sample Size ◽  
Pricing Models ◽  
Frequency Model ◽  
Discriminatory Ability ◽  
Insurance Pricing ◽  
Concordance Probability ◽  
Definition Of

The concordance probability, also called the C-index, is a popular measure to capture the discriminatory ability of a predictive model. In this article, the definition of this measure is adapted to the specific needs of the frequency and severity model, typically used during the technical pricing of a non-life insurance product. For the frequency model, the need of two different groups is tackled by defining three new types of the concordance probability. Secondly, these adapted definitions deal with the concept of exposure, which is the duration of a policy or insurance contract. Frequency data typically have a large sample size and therefore we present two fast and accurate estimation procedures for big data. Their good performance is illustrated on two real-life datasets. Upon these examples, we also estimate the concordance probability developed for severity models.

Life insurance: pricing

2010 ◽  
pp. 197-243
Author(s):  
Annamaria Olivieri ◽  
Ermanno Pitacco
Keyword(s):  
Life Insurance ◽  
Insurance Pricing
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