Using one-year claim development to chose a large claim reserving technique

Mestrado em Ciências Actuariais

An Introduction to parametric and non-parametric models for bivariate positive insurance claim severity distributions

We present a real data set of claims amounts where costs related to damage are recorded separately from those related to medical expenses. Only claims with positive costs are considered here. Two approaches to density estimation are presented: a classical parametric and a semi-parametric method, based on transformation kernel density estimation. We explore the data set with standard univariate methods. We also propose ways to select the bandwidth and transformation parameters in the univariate case based on Bayesian methods. We indicate how to compare the results of alternative methods both looking at the shape of the overall density domain and exploring the density estimates in the right tail.

Estimation of parametric and nonparametric models for univariate claim severity distributions - an approach using R

This paper presents an analysis of motor vehicle insurance claims relating to vehicle damage and to associated medical expenses. We use univariate severity distributions estimated with parametric and non-parametric methods. The methods are implemented using the statistical package R. Parametric analysis is limited to estimation of normal and lognormal distributions for each of the two claim types. The nonparametric analysis presented involves kernel density estimation. We illustrate the benefits of applying transformations to data prior to employing kernel based methods. We use a log-transformation and an optimal transformation amongst a class of transformations that produces symmetry in the data. The central aim of this paper is to provide educators with material that can be used in the classroom to teach statistical estimation methods, goodness of fit analysis and importantly statistical computing in the context of insurance and risk management. To this end, we have included in the Appendix of this paper all the R code that has been used in the analysis so that readers, both students and educators, can fully explore the techniques described

Iowa EDI Claim and Reporting Compliance Handbook, July 2001

The purpose of this handbook is to provide the user with an educational and process reference guide. This is a guide that the reader may utilize to learn Iowa’s reporting and compliance system and also as a handy day-to-day document that may be referred to thereby assisting that individual and/or entity to understand and maintain compliance with Iowa Workers’ Compensation statutes and rules and the requirements required therein.

Iowa EDI Claim and Reporting Compliance Handbook, July 2000

The Iowa EDI Implementation Guide is designed to help any individuals or businesses understand and implement the IAIABC’s Release 2 EDI package. In order to process workers’ compensation claims in Iowa after July 1, 2001, that information will have to be exchanged using EDI as the IAIABC and State of Iowa have standardized. Below are sections that make this process easier to understand.

On the efficient evaluation of ruin probabilities for completely monotone claim size distributions

In this paper we propose a highly accurate approximation procedure for ruin probabilities in the classical collective risk model, which is based on a quadrature/rational approximation procedure proposed in [2]. For a certain class of claim size distributions (which contains the completely monotone distributions) we give a theoretical justification for the method. We also show that under weaker assumptions on the claim size distribution, the method may still perform reasonably well in some cases. This in particular provides an efficient alternative to a related method proposed in [3]. A number of numerical illustrations for the performance of this procedure is provided for both completely monotone and other types of random variables.

Iowa Medical Malpractice Closed Claim Study: For Claims Closed from 2001 through 2005, December 2006

Requested claim data from insurance companies in order to provide a snapshot portrayal of Iowa's malpractice insurance market.

Cultural differences affecting claim handling process and perceived quality in Finnish-Japanese paperboardbusiness

Tutkimuksen tavoitteena oli selvittää Suomen ja Japanin välisten kulttuurierojen vaikutus valitustenkäsittelyprosessiin ja laatukäsityksiin case-yrityksen ja sen asiakkaiden välillä. Teoreettisen viitekehyksen muodostamisessa käytettiin näkemyksiä kulttuurista, kulttuurienvälisestä viestinnästä, valitustenkäsittelystä ja laatukäsityksistä. Kulttuurierojen tarkastelemiseksi esiteltiin kulttuurien ulottuvuuksia eritteleviä viitekehyksiä ja kulturaalisten tekijöiden vaikutusta viestintään. Suomen ja Japanin kulttuureja esiteltiin myös yksityiskohtaisemmin aikaisempien tutkimusten valossa. Työn empiirisessä osassa tutkittiin case-yrityksen sisäisiä sekä yrityksen ja sen asiakkaiden välisiä näkemyseroja. Tutkimus suoritettiin laadullisena case-tutkimuksena, jossa tarkasteltiin myös toimenpiteitä case-yrityksen liiketoimintaympäristön parantamiseksi. Tarvittava tieto kerättiin kirjallisuudesta, artikkeleista, taustahaastatteluilla sekä haastattelemalla yrityksen henkilöstöä Suomessa ja Japanissa samoin kuin sen japanilaisia asiakkaita. Japanilaiset asiakas/toimittaja-suhteet ovat ulkomaalaiselle yritykselle haastava liiketoimintaympäristö. Luottamuksen rakentaminen pitkällä tähtäimellä vaatii läheistä kommunikointia vastapuolen tuntemiseksi, jotta voidaan kehittää tuotteita paremmiksi ja vähentää valituskustannuksia. Laatuajattelua tulee myös yhdenmukaistaa tuotteiden ja palvelujen laadun parantamiseksi.

Prediction of individual automobile RBNS claim reserves in the context of Solvency II

Automobile bodily injury (BI) claims remain unsettled for a long time after the accident. The estimation of an accurate reserve for Reported But Not Settled (RBNS) claims is therefore vital for insurers. In accordance with the recommendation included in the Solvency II project (CEIOPS, 2007) a statistical model is here implemented for RBNS reserve estimation. Lognormality on empirical compensation cost data is observed for different levels of BI severity. The individual claim provision is estimated by allocating the expected mean compensation for the predicted severity of the victim’s injury, for which the upper bound is also computed. The BI severity is predicted by means of a heteroscedastic multiple choice model, because empirical evidence has found that the variability in the latent severity of injured individuals travelling by car is not constant. It is shown that this methodology can improve the accuracy of RBNS reserve estimation at all stages, as compared to the subjective assessment that has traditionally been made by practitioners.

The claim of Amasa Stetson, of Massachusetts, on the United States, for money advanced, in fulfilling the orders of the Government while discharging the duties of Commissary General of Purchases, in time of the late war with Great Britain ; and for services rendered. --

Claim relating to the War of 1812.

Message from the President of the United States, in relation to the claim of Virginia, an account of interest paid by that State, on moneys borrowed for the payment of the militia thereof, for services rendered the United States.--

April 13, 1824. Printed by order of the Senate of the United States.

Message from the President of the United States, in relation to the claim of Virginia, an account of interest paid by that State, on moneys borrowed for the payment of the militia thereof, for services rendered the United States

April 13, 1824. Printed by order of the Senate of the United States. At head of title: 18th congress, 1st session. [64]. Printed by Cales and Seaton