Stochastic Models In Life Insurance
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Stochastic Models In Life Insurance
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Author : Michael Koller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-23
Stochastic Models In Life Insurance written by Michael Koller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-23 with Mathematics categories.
The book provides a sound mathematical base for life insurance mathematics and applies the underlying concepts to concrete examples. Moreover the models presented make it possible to model life insurance policies by means of Markov chains. Two chapters covering ALM and abstract valuation concepts on the background of Solvency II complete this volume. Numerous examples and a parallel treatment of discrete and continuous approaches help the reader to implement the theory directly in practice.
Insurance Mathematics
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Author : Riccardo Gatto
language : en
Publisher: Iste Press - Elsevier
Release Date : 2018-05
Insurance Mathematics written by Riccardo Gatto and has been published by Iste Press - Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05 with categories.
Insurance Mathematics: Stochastic Models and Mathematical Methods gives a modern overview on the topic, emphasizing stochastic modeling and related mathematical methods. Topics covered include models for individual and aggregate losses in a portfolio of risks, models for compound losses, methods for determining premium rates, and credibility theory, which is based on Bayesian statistics. Experience rated premiums are also discussed using the Bühlmann Straub model and other general models. The last part of this important monograph introduces important computational techniques and how to distinguish the methods arising from asymptotic analysis, i.e., the Laplace and saddlepoint approximation. Presents methods for determining premium rates Includes asymptotic approximations Introduces particular models of life insurance and important computational techniques
Modelling In Life Insurance A Management Perspective
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Author : Jean-Paul Laurent
language : en
Publisher: Springer
Release Date : 2016-05-02
Modelling In Life Insurance A Management Perspective written by Jean-Paul Laurent and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-02 with Mathematics categories.
Focusing on life insurance and pensions, this book addresses various aspects of modelling in modern insurance: insurance liabilities; asset-liability management; securitization, hedging, and investment strategies. With contributions from internationally renowned academics in actuarial science, finance, and management science and key people in major life insurance and reinsurance companies, there is expert coverage of a wide range of topics, for example: models in life insurance and their roles in decision making; an account of the contemporary history of insurance and life insurance mathematics; choice, calibration, and evaluation of models; documentation and quality checks of data; new insurance regulations and accounting rules; cash flow projection models; economic scenario generators; model uncertainty and model risk; model-based decision-making at line management level; models and behaviour of stakeholders. With author profiles ranging from highly specialized model builders to decision makers at chief executive level, this book should prove a useful resource to students and academics of actuarial science as well as practitioners.
Stochastic Claims Reserving Methods In Insurance
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Author : Mario V. Wüthrich
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-30
Stochastic Claims Reserving Methods In Insurance written by Mario V. Wüthrich and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-30 with Business & Economics categories.
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.
Basic Stochastic Process
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Author : Pierre Devolder
language : en
Publisher:
Release Date : 2015-07-01
Basic Stochastic Process written by Pierre Devolder and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-01 with categories.
Stochastic Methods For Insurance
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Author : Janssen
language : en
Publisher: Wiley-Blackwell
Release Date : 2016-07-21
Stochastic Methods For Insurance written by Janssen and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-21 with categories.
Life Insurance Mathematics
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Author : Hans U. Gerber
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Life Insurance Mathematics written by Hans U. Gerber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.
From the reviews: "The highly esteemed 1990 first edition of this book now appears in a much expanded second edition. The difference between the first two English editions is entirely due to the addition of numerous exercises. The result is a truly excellent book, balancing ideally between theory and practice. ....As already hinted at above, this book provides the ideal bridge between the classical (deterministic) life insurance theory and the emerging dynamic models based on stochastic processes and the modern theory of finance. The structure of the bridge is very solid, though at the same time pleasant to walk along. I have no doubt that Gerber's book will become the standard text for many years to come. Metrika, 44, 1996, 2
Stochastic Modeling
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Author :
language : en
Publisher:
Release Date : 2010
Stochastic Modeling written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Actuarial science categories.
Stochastic Mortality Models And Securitization In Life Insurance
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Author : Sandra Caterina Gaißer
language : en
Publisher:
Release Date : 2006
Stochastic Mortality Models And Securitization In Life Insurance written by Sandra Caterina Gaißer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Some Stochastic Insurance Models On Number Of Claims
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Author : Sidagam Naresh
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2014-07-04
Some Stochastic Insurance Models On Number Of Claims written by Sidagam Naresh and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-04 with categories.
This book was divided in to six chapters.The book is to highlight the present work in its right perspective. Some relevant literature on this type of modeling either in insurance or elsewhere are presented. In the period of dynamic indetermination in science, there is hardly a serious piece of research, which, if treated realistically, does not involve operations on stochastic process. So it is natural to find growing awareness and interest in stochastic modeling every where. An insurance system can be defined as a mechanism for reducing the adverse financial impact of random events that prevent the fulfillment of reasonable expectation of human beings. This system covers both property and human-life values. An insurance contract promises to make good to the insured a certain sum in consideration for a payment in the form of premium from the insured. Insurances can be classified in to two divisions namely life insurances and non life insurances. The non life insurances cover motor, health, fire, marine etc. A stochastic insurance model would be to setup a projection model which looks at a single policy, an entire portfolio or an entire company.