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Modelling in life insurance -- a management perspective

Author: Jean-Paul Laurent; Ragnar Norberg; Frédéric Planchet
Publisher: Switzerland : Springer, 2016.
Series: EAA Series
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Modelling in life insurance : a management perspective.
Switzerland : Springer, c2016
xvi, 255 pages
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jean-Paul Laurent; Ragnar Norberg; Frédéric Planchet
ISBN: 9783319297767 3319297767 3319297740 9783319297743
OCLC Number: 948745078
Description: 1 online resource (xvi, 255 pages) : illustrations (some color).
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.
Series Title: EAA Series
Responsibility: Jean-Paul Laurent, Ragnar Norberg, Frédéric Planchet, editors.
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Abstract:

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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.""

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