Modelling In Life Insurance - A Management Perspective by Jean-Paul LaurentModelling In Life Insurance - A Management Perspective by Jean-Paul Laurent

Modelling In Life Insurance - A Management Perspective

byJean-Paul LaurentEditorRagnar Norberg, Frédéric Planchet

Paperback | May 11, 2016

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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.

Title:Modelling In Life Insurance - A Management PerspectiveFormat:PaperbackDimensions:255 pagesPublished:May 11, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319297740

ISBN - 13:9783319297743

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Table of Contents

Paradigms in life insurance.-  About market consistent valuation in insurance.- Cash flow projection models.- Economic scenario generators.- From internal to ORSA models.- Building a model: practical implementation.- Ex-ante model validation and back-testing.- The threat of model risk for insurance companies.- Meta-models and consistency issues.- Model feeding & Data Quality.- The role of models in management decision making.- Models and behaviour of stakeholders