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Modeling and Management of Longevity Risk

Modeling and Management of Longevity Risk
Author: Andrew J. G. Cairns
Publisher:
Total Pages:
Release: 2020
Genre:
ISBN:

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In this article we review the state of play in the use of stochastic models for the measurement and management of longevity risk. A focus of the discussion concerns how robust these models are relative to a variety of inputs: something that is particularly important in formulating a risk management strategy. On the modeling front much still needs to be done on robust multipopulation mortality models, and on the risk management front we need to develop a better understanding of what the objectives are of pension plans that need to be optimized. We propose a variety of ways forward on both counts.


New Models for Managing Longevity Risk

New Models for Managing Longevity Risk
Author: Olivia S. Mitchell
Publisher: Oxford University Press
Total Pages: 353
Release: 2022
Genre: Law
ISBN: 0192859803

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This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Notwithstanding the terrible price the world has paid in the coronavirus pandemic, the fact remains that longevity at older ages is likely to continue to rise in the medium and longer term. This volume explores how the private and public sectors can collaborate via public-private partnerships (PPPs) to develop new mechanisms to reduce older people's risk of outliving their assets in later life. As this volume shows, PPPs typically involve shared government financing alongside private sector partner expertise, management responsibility, and accountability. In addition to offering empirical evidence on examples where this is working well, contributors provide case studies, discuss survey results, and examine a variety of different financial and insurance products to better meet the needs of the aging population. This volume will be informative to researchers, plan sponsors, students, and policymakers seeking to enhance retirement plan offerings.


Modelling Longevity Dynamics for Pensions and Annuity Business

Modelling Longevity Dynamics for Pensions and Annuity Business
Author: Ermanno Pitacco
Publisher: OUP Oxford
Total Pages: 416
Release: 2009-01-29
Genre: Business & Economics
ISBN: 0191609420

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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 devoted to the management of life annuity portfolios, both from a theoretical and a practical point of view, because of the growing importance of annuity benefits paid by private pension schemes. In particular, the progressive shift from defined benefit to defined contribution pension schemes has increased the interest in life annuities with a guaranteed annual amount. This book provides a comprehensive and detailed description of methods for projecting mortality, and an extensive introduction to some important issues concerning longevity risk in the area of life annuities and pension benefits. It relies on research work carried out by the authors, as well as on a wide teaching experience and in CPD (Continuing Professional Development) initiatives. The following topics are dealt with: life annuities in the framework of post-retirement income strategies; the basic mortality model; recent mortality trends that have been experienced; general features of projection models; discussion of stochastic projection models, with numerical illustrations; measuring and managing longevity risk.


Modeling and Managing Longevity Risk

Modeling and Managing Longevity Risk
Author: Yanxin Liu
Publisher:
Total Pages: 231
Release: 2016
Genre: Longevity
ISBN:

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With the threat of longevity risk to the insurance industry becoming increasingly apparent in recent years, insurers and reinsurers are concerned about how to better model and manage longevity risk. However, modeling and managing longevity risk is not trivial, due in part to its systematic nature and in part to the excessive amount of risk factors that constitute the risk. The theme of this thesis is modeling and managing longevity risk. In particular, this thesis focuses on four types of uncertainties among all possible risk factors. These four risk factors include 1) mortality jump risk; 2) longevity drift risk; 3) population basis risk; and 4) cohort mismatch risk.


Essays on Longevity Risk

Essays on Longevity Risk
Author: Matthias Börger
Publisher:
Total Pages: 312
Release: 2013
Genre:
ISBN:

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Pension Fund Risk Management

Pension Fund Risk Management
Author: Marco Micocci
Publisher: CRC Press
Total Pages: 766
Release: 2010-01-25
Genre: Business & Economics
ISBN: 1439817545

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As pension fund systems decrease and dependency ratios increase, risk management is becoming more complex in public and private pension plans. Pension Fund Risk Management: Financial and Actuarial Modeling sheds new light on the current state of pension fund risk management and provides new technical tools for addressing pension risk from an integr


Life Settlements and Longevity Structures

Life Settlements and Longevity Structures
Author: Geoff Chaplin
Publisher: John Wiley & Sons
Total Pages: 406
Release: 2009-08-03
Genre: Business & Economics
ISBN: 0470741945

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Recent turbulence in the financial markets has highlighted the need for diversified portfolios with lower correlations between the different investments. Life settlements meet this need, offering investors the prospect of high, stable returns, uncorrelated with the broader financial markets. This book provides readers of all levels of experience with essential information on the process surrounding the acquisition and management of a portfolio of life settlements; the assessment, modelling and mitigation of the associated longevity, interest rate and credit risks; and practical approaches to financing and risk management structures. It begins with the history of life insurance and looks at how the need for new financing sources has led to the growth of the life settlements market in the United States. The authors provide a detailed exploration of the mathematical formulae surrounding the generation of mortality curves, drawing a parallel between the tools deployed in the credit derivatives market and those available to model longevity risk. Structured products and securitisation techniques are introduced and explained, starting with simple vanilla products and models before illustrating some of the investment structures associated with life settlements. Capital market mechanisms available to assist the investor in limiting the risks associated with life settlement portfolios are outlined, as are opportunities to use life settlement portfolios to mitigate the risks of traditional capital markets. The last section of the book covers derivative products, either available now or under consideration, that will reduce or potentially eliminate longevity risks within life settlement portfolios. It then reviews hedging and risk management strategies and considers how to measure the effectiveness of risk mitigation.


Mortality Assumptions and Longevity Risk Implications for pension funds and annuity providers

Mortality Assumptions and Longevity Risk Implications for pension funds and annuity providers
Author: OECD
Publisher: OECD Publishing
Total Pages: 194
Release: 2014-12-08
Genre:
ISBN: 926422274X

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The publication assess how pension funds, annuity providers such as life insurance companies, and the regulatory framework incorporate future improvements in mortality and life expectancy.