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Claims Reserving In Non Life Insurance
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Book Synopsis Bayesian Claims Reserving Methods in Non-life Insurance with Stan by : Guangyuan Gao
Download or read book Bayesian Claims Reserving Methods in Non-life Insurance with Stan written by Guangyuan Gao and published by Springer. This book was released on 2018-12-31 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book first provides a review of various aspects of Bayesian statistics. It then investigates three types of claims reserving models in the Bayesian framework: chain ladder models, basis expansion models involving a tail factor, and multivariate copula models. For the Bayesian inferential methods, this book largely relies on Stan, a specialized software environment which applies Hamiltonian Monte Carlo method and variational Bayes.
Book Synopsis Claim Reserving in Non-Life Insurance by : G. C. Taylor
Download or read book Claim Reserving in Non-Life Insurance written by G. C. Taylor and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Claims Reserving Methods in Insurance by : Mario V. Wüthrich
Download or read book Stochastic Claims Reserving Methods in Insurance written by Mario V. Wüthrich and published by John Wiley & Sons. This book was released on 2008-04-30 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Claims reserving is central to the insurance industry. Insurance liabilities depend on a number of different risk factors which need to be predicted accurately. This prediction of risk factors and outstanding loss liabilities is the core for pricing insurance products, determining the profitability of an insurance company and for considering the financial strength (solvency) of the company. Following several high-profile company insolvencies, regulatory requirements have moved towards a risk-adjusted basis which has lead to the Solvency II developments. The key focus in the new regime is that financial companies need to analyze adverse developments in their portfolios. Reserving actuaries now have to not only estimate reserves for the outstanding loss liabilities but also to quantify possible shortfalls in these reserves that may lead to potential losses. Such an analysis requires stochastic modeling of loss liability cash flows and it can only be done within a stochastic framework. Therefore stochastic loss liability modeling and quantifying prediction uncertainties has become standard under the new legal framework for the financial industry. This book covers all the mathematical theory and practical guidance needed in order to adhere to these stochastic techniques. Starting with the basic mathematical methods, working right through to the latest developments relevant for practical applications; readers will find out how to estimate total claims reserves while at the same time predicting errors and uncertainty are quantified. Accompanying datasets demonstrate all the techniques, which are easily implemented in a spreadsheet. A practical and essential guide, this book is a must-read in the light of the new solvency requirements for the whole insurance industry.
Book Synopsis Claims Reserving in Non-life Insurance by : Gregory Clive Taylor
Download or read book Claims Reserving in Non-life Insurance written by Gregory Clive Taylor and published by North Holland. This book was released on 1986 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Claims Reserving in General Insurance by : David Hindley
Download or read book Claims Reserving in General Insurance written by David Hindley and published by Cambridge University Press. This book was released on 2017-10-26 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a single comprehensive reference source covering the key material on this subject, and describing both theoretical and practical aspects.
Book Synopsis Methods for Claim Reserving in Non-life Insurance: Modeling the Occurrence, Reporting and Development of Individual Claims by : Jonas Crevecoeur
Download or read book Methods for Claim Reserving in Non-life Insurance: Modeling the Occurrence, Reporting and Development of Individual Claims written by Jonas Crevecoeur and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Ratemaking and Loss Reserving for Property and Casualty Insurance by : Robert L. Brown
Download or read book Introduction to Ratemaking and Loss Reserving for Property and Casualty Insurance written by Robert L. Brown and published by ACTEX Publications. This book was released on 2007 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Non-Life Insurance Mathematics by : Thomas Mikosch
Download or read book Non-Life Insurance Mathematics written by Thomas Mikosch and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties....The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy." --Zentralblatt für Didaktik der Mathematik
Book Synopsis Stochastic Loss Reserving Using Generalized Linear Models by : Greg Taylor
Download or read book Stochastic Loss Reserving Using Generalized Linear Models written by Greg Taylor and published by . This book was released on 2016-05-04 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this monograph, authors Greg Taylor and Gráinne McGuire discuss generalized linear models (GLM) for loss reserving, beginning with strong emphasis on the chain ladder. The chain ladder is formulated in a GLM context, as is the statistical distribution of the loss reserve. This structure is then used to test the need for departure from the chain ladder model and to consider natural extensions of the chain ladder model that lend themselves to the GLM framework.
Book Synopsis Claims Reserving and Other Topics in Non-life Insurance Mathematics by : Anders Hedegaard Jessen
Download or read book Claims Reserving and Other Topics in Non-life Insurance Mathematics written by Anders Hedegaard Jessen and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Insurance Mathematics by : Annamaria Olivieri
Download or read book Introduction to Insurance Mathematics written by Annamaria Olivieri and published by Springer. This book was released on 2015-09-30 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition expands the first chapters, which focus on the approach to risk management issues discussed in the first edition, to offer readers a better understanding of the risk management process and the relevant quantitative phases. In the following chapters the book examines life insurance, non-life insurance and pension plans, presenting the technical and financial aspects of risk transfers and insurance without the use of complex mathematical tools. The book is written in a comprehensible style making it easily accessible to advanced undergraduate and graduate students in Economics, Business and Finance, as well as undergraduate students in Mathematics who intend starting on an actuarial qualification path. With the systematic inclusion of practical topics, professionals will find this text useful when working in insurance and pension related areas, where investments, risk analysis and financial reporting play a major role.
Download or read book Life Insurance Fact Book written by and published by . This book was released on 1959 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Non-Life Insurance Pricing with Generalized Linear Models by : Esbjörn Ohlsson
Download or read book Non-Life Insurance Pricing with Generalized Linear Models written by Esbjörn Ohlsson and published by Springer Science & Business Media. This book was released on 2010-03-18 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-life insurance pricing is the art of setting the price of an insurance policy, taking into consideration varoius properties of the insured object and the policy holder. Introduced by British actuaries generalized linear models (GLMs) have become today a the standard aproach for tariff analysis. The book focuses on methods based on GLMs that have been found useful in actuarial practice and provides a set of tools for a tariff analysis. Basic theory of GLMs in a tariff analysis setting is presented with useful extensions of standarde GLM theory that are not in common use. The book meets the European Core Syllabus for actuarial education and is written for actuarial students as well as practicing actuaries. To support reader real data of some complexity are provided at www.math.su.se/GLMbook.
Book Synopsis Market-Consistent Actuarial Valuation by : Mario V. Wüthrich
Download or read book Market-Consistent Actuarial Valuation written by Mario V. Wüthrich and published by Springer Science & Business Media. This book was released on 2010-09-02 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is a challenging task to read the balance sheet of an insurance company. This derives from the fact that different positions are often measured by different yardsticks. Assets, for example, are mostly valued at market prices whereas liabilities are often measured by established actuarial methods. However, there is a general agreement that the balance sheet of an insurance company should be measured in a consistent way. Market-Consistent Actuarial Valuation presents powerful methods to measure liabilities and assets in a consistent way. The mathematical framework that leads to market-consistent values for insurance liabilities is explained in detail by the authors. Topics covered are stochastic discounting with deflators, valuation portfolio in life and non-life insurance, probability distortions, asset and liability management, financial risks, insurance technical risks, and solvency.
Book Synopsis Computational Actuarial Science with R by : Arthur Charpentier
Download or read book Computational Actuarial Science with R written by Arthur Charpentier and published by CRC Press. This book was released on 2014-08-26 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/
Book Synopsis Machine Learning in Insurance by : Jens Perch Nielsen
Download or read book Machine Learning in Insurance written by Jens Perch Nielsen and published by MDPI. This book was released on 2020-12-02 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceedings of the Casualty Actuarial Society by : Casualty Actuarial Society
Download or read book Proceedings of the Casualty Actuarial Society written by Casualty Actuarial Society and published by . This book was released on 1923 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: List of members for the years 1914-20 are included in v. 1-7, after which they are continued in the Year book of the society, begun in 1922.
