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Actuarial Modelling of Claim Counts
There are a wide range of variables for actuaries to consider when calculating a motorist’s insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists’ rates are subject to experience rating systems, including credibility mechanisms and Bonus Malus systems (BMSs). Actuarial Modelling of Claim Counts presents a comprehensive treatment of the various experience rating systems and their relationships with risk classification. The authors summarize the most recent developments in the field, presenting ratemaking systems, whilst taking into account exogenous information. The text: Offers the first self-contained, practical approach to a priori and a poster...
Modelling Longevity Dynamics for Pensions and Annuity Business
Mortality improvements, uncertainty in future mortality trends and the relevant impact on life annuities and pension plans constitute important topics in the field of actuarial mathematics and life insurance techniques. In particular, actuarial calculations concerning pensions, life annuities and other living benefits (provided, for example, by long-term care insurance products and whole life sickness covers) are based on survival probabilities which necessarily extend over a long time horizon. In order to avoid underestimation of the related liabilities, the insurance company (or the pension plan) must adopt an appropriate forecast of future mortality. Great attention is currently being dev...
La réassurance
Qu'est-ce que la réassurance ? Pourquoi les compagnies d'assurance font-elles appel aux réassureurs ? Quelles sont les différentes formes de réassurance ? Comment le réassureur fonctionne-t-il ? La réassurance est l'assurance des assureurs. La réassurance est un outil de gestion du capital économique pour les compagnies d'assurance. Celles-ci font en effet appel aux réassureurs lorsque les couvertures offertes par ces derniers permettent de diminuer le capital économique nécessaire à la viabilité de l'entreprise d'assurance. L'achat de réassurance est intéressant lorsque le coût de la réassurance est inférieur au coût lié à la détention du capital économique économisé grâce à la couverture de réassurance. Le lecteur découvrira dans cet ouvrage les multiples formes de réassurance ainsi que les raisons qui poussent les assureurs à se réassurer. Nous abordons également les perspectives à venir pour le marché de la réassurance.
Reinsurance
Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reinsurance practice and puts the two in perspective. The book is written for researchers with an interest in reinsurance problems, for graduate students with a basic knowledge of probability and statistics as well as for reinsurance practitioners. The focus of the book is on modelling together with the statistical challenges that go along with it. The discussed statistical approaches are illustrated alongside six case studies of insurance loss data sets, ranging from MTPL over fire to storm and flood loss data. Some of the presented material also contains new results that have not yet been published in the research literature. An extensive bibliography provides readers with links for further study.
Finance chrétienne
Il existe, à notre époque, de multiples acteurs, activités et principes éthiques financiers qui relèvent du christianisme. Qu’elle soit d’origine catholique, protestante ou orthodoxe, la « finance chrétienne » complète la large gamme des finances éthiques (finance verte, impact investing, etc.). Le lecteur découvrira, entre autres, les bitcoins chrétiens, les activités des Templiers, la controverse sur le prêt à intérêt, ou les kirchliche Banken. Il pourra parfaire ses connaissances sur les acteurs financiers chrétiens d’Europe, d’Afrique ou d’Amérique. Sa lecture pourra également le mener à s’intéresser aux papes Médicis, aux monts-de-piété, ou encore au...
Machine Learning in Insurance
Machine learning is a relatively new field, without a unanimous definition. In many ways, actuaries have been machine learners. In both pricing and reserving, but also more recently in capital modelling, actuaries have combined statistical methodology with a deep understanding of the problem at hand and how any solution may affect the company and its customers. One aspect that has, perhaps, not been so well developed among actuaries is validation. Discussions among actuaries’ “preferred methods” were often without solid scientific arguments, including validation of the case at hand. Through this collection, we aim to promote a good practice of machine learning in insurance, considering the following three key issues: a) who is the client, or sponsor, or otherwise interested real-life target of the study? b) The reason for working with a particular data set and a clarification of the available extra knowledge, that we also call prior knowledge, besides the data set alone. c) A mathematical statistical argument for the validation procedure.
Encyclopedia of Quantitative Risk Analysis and Assessment
Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.
Finance, banque, microfinance
« Finance, Banque, Microfinance : Où va la richesse créée », est un ouvrage collectif, auquel ont contribué d’éminents spécialistes de rang mondial. Jusqu’où la Finance permet-elle de se couvrir contre le risque de Covid 19 ? La Finance constitue-t-elle encore un moteur puissant de la croissance économique ? Permet-elle d’enclencher un processus vertueux en vue du progrès économique et social largement partagé, comme lors de l’âge d’or du capitalisme triomphant, et notamment pendant les vingt-cinq glorieuses (1950-1975) ? La dette publique sert-elle les intérêts de tous les contribuables ou accroît-elle uniquement les patrimoines des gros investisseurs-épargnants ...
