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Author: Samuel H. Cox Publisher: ISBN: Category : Languages : en Pages : 41
Book Description
We provide a new method, the “MV CVaR approach”, for managing unexpected mortality changes underlying annuities and life insurance. The MV CVaR approach optimizes the mean-variance tradeoff of an insurer's mortality portfolio, subject to constraints on downside risk. We apply the method of moments and the maximum entropy method to analyze the efficiency of MV CVaR mortality portfolios relative to traditional Markowitz mean-variance portfolios. Our numerical examples illustrate the superiority of the MV CVaR approach in mortality risk management and shed new light on natural hedging effects of annuities and life insurance.
Author: Samuel H. Cox Publisher: ISBN: Category : Languages : en Pages : 41
Book Description
We provide a new method, the “MV CVaR approach”, for managing unexpected mortality changes underlying annuities and life insurance. The MV CVaR approach optimizes the mean-variance tradeoff of an insurer's mortality portfolio, subject to constraints on downside risk. We apply the method of moments and the maximum entropy method to analyze the efficiency of MV CVaR mortality portfolios relative to traditional Markowitz mean-variance portfolios. Our numerical examples illustrate the superiority of the MV CVaR approach in mortality risk management and shed new light on natural hedging effects of annuities and life insurance.
Author: Geoff Chaplin Publisher: John Wiley & Sons ISBN: 0470684852 Category : Business & Economics Languages : en Pages : 425
Book Description
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.
Author: Frederik Weber Publisher: VVW GmbH ISBN: 3862981452 Category : Mathematics Languages : de Pages : 245
Book Description
Die Dissertation von Dr. Frederik Weber erscheint in englischer Sprache. Der demographische Wandel und die steigende Lebenserwartung haben in jüngster Zeit verstärkte Diskussionen in der Öffentlichkeit angeregt. Zusätzlich sinkende Rentenleistungen erfordern ein effizienteres Management der privaten Altersvorsorge. Gleichzeitig ergibt sich aus dieser Tatsache ein erhöhtes Risiko für Rentenanbieter aus der Unsicherheit über die zukünftige Sterblichkeitsentwicklung. Die vorliegende Arbeit beleuchtet dazu zunächst die zugrundeliegende demographische Entwicklung und unterschiedliche Ausprägungen des Langlebigkeitsrisikos. Mögliche Probleme bei der Versicherbarkeit dieses Risikos bieten Anknüpfungspunkte für die optimierte Gestaltung von Versicherungsverträgen. Neben Kohorteneffekten in der Sterblichkeitsentwicklung, für die geeignete Maßzahlen und Kriterien zur Identifikation sogenannter "Select Cohorts" diskutiert werden, steht eine Abschätzung des potenziellen Ausmaßes des Langlebigkeitsrisikos im Mittelpunkt des ersten Teils. In einer Simulation wird die Wechselbeziehung von Langlebigkeits- und Investmentrisiko in Rentenportfolios erörtert. Sie verdeutlicht die Unterschiede beider Risikoarten, zeigt jedoch für das Langlebigkeitsrisiko feinere Muster, die aufgrund fehlender Kapitalmarktinstrumente nicht vollständig abgesichert werden können. Typische Risikomanagement-Optionen erweisen sich in Bezug auf das Langlebigkeitsrisiko überwiegend als wenig hilfreich oder sinnvoll. Einzig ein verändertes aktuarielles Produktdesign in Form einer mortalitätsindexierten Leibrente (Mortality-Indexed Annuity) verspricht eine signifikante Reduktion des Risikos für Versicherer. Dieser Vorteil bestätigt sich in einer weiteren Simulation auch aus Kundenperspektive, so dass diese Produktidee dazu beitragen könnte, Angebot und Nachfrage in einem unterentwickelten Markt für private Rentenversicherungen zu stärken. The demographic transition and increasing life expectancies have increasingly been discussed also in the general public. As a consequence, reduced social security pensions increasingly challenge individuals’ retirement funding to adequately manage the individual longevity risk. In addition, pension providers face the uncertainty regarding future mortality development. The present work sketches the underlying demographic development and distinguishes different forms of longevity risk. Potential drawbacks with respect to its insurability represent natural starting points for a discussion of adequate insurance contract design. Besides cohort effects in mortality reduction, for which suitable measures and criteria to identify so called "select cohorts" are discussed, an appraisal of the potential financial impact of longevity risk is a key objective here. Further insight into its relationship to and interaction with investment risk in life annuity portfolios are the main objective of a simulation study. Although capital market risks exert a stronger direct influence on an insurer’s technical result, longevity risk turns out to be of a more subtle nature. However, this risk cannot yet be hedged with the existing capital market instruments and thus appears worthwhile to be further analyzed. Typical risk management tools prove to be less apt upon closer inspection. Solely, a modified actuarial product design in the form of a life annuity with mortality-indexed benefits shows promise for reducing insurers’ exposure. The advantageousness of such a product concept can also be confirmed from a policyholder’s perspective by means of a further simulation study so that it might contribute to stimulate supply and demand in the underdeveloped market for life annuities.
Author: Katja Hanewald Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
This paper analyzes an individual's post retirement longevity risk management strategy allowing for systematic longevity risk, recent product innovations, and product loadings. A complete-markets discrete state model and multi-period simulations of portfolio strategies are used to assess individual longevity insurance product portfolios with differing levels of systematic and idiosyncratic longevity risk. Portfolios include: fixed life annuities, deferred annuities, inflation-indexed annuities, phased withdrawals and recently proposed group self-annuitization (GSA) plans. GSA plans are found to replace even inflation-indexed annuity products when there are loadings on guaranteed life annuity products. With a bequest motive and loadings, coinsurance portfolio strategies with phased withdrawals and GSA's dominate portfolios with life annuities or deferred annuities.
Author: Michael Koller Publisher: Springer Science & Business Media ISBN: 3642207219 Category : Business & Economics Languages : en Pages : 345
Book Description
The aim of the book is to provide an overview of risk management in life insurance companies. The focus is twofold: (1) to provide a broad view of the different topics needed for risk management and (2) to provide the necessary tools and techniques to concretely apply them in practice. Much emphasis has been put into the presentation of the book so that it presents the theory in a simple but sound manner. The first chapters deal with valuation concepts which are defined and analysed, the emphasis is on understanding the risks in corresponding assets and liabilities such as bonds, shares and also insurance liabilities. In the following chapters risk appetite and key insurance processes and their risks are presented and analysed. This more general treatment is followed by chapters describing asset risks, insurance risks and operational risks - the application of models and reporting of the corresponding risks is central. Next, the risks of insurance companies and of special insurance products are looked at. The aim is to show the intrinsic risks in some particular products and the way they can be analysed. The book finishes with emerging risks and risk management from a regulatory point of view, the standard model of Solvency II and the Swiss Solvency Test are analysed and explained. The book has several mathematical appendices which deal with the basic mathematical tools, e.g. probability theory, stochastic processes, Markov chains and a stochastic life insurance model based on Markov chains. Moreover, the appendices look at the mathematical formulation of abstract valuation concepts such as replicating portfolios, state space deflators, arbitrage free pricing and the valuation of unit linked products with guarantees. The various concepts in the book are supported by tables and figures.
Author: Publisher: ISBN: Category : Life insurance Languages : en Pages :
Book Description
This is a multi-essay dissertation in the area of mortality risk management. The first essay investigates natural hedging between life insurance and annuities and then proposes a mortality swap between a life insurer and an annuity insurer. Compared with reinsurance, capital markets have a greater capacity to absorb insurance shocks, and they may offer more flexibility to meet insurers' needs. Therefore, my second essay studies securitization of mortality risks in life annuities. Specifically I design a mortality bond to transfer longevity risks inherent in annuities or pension plans to financial markets. By explicitly taking into account the jumps in mortality stochastic processes, my third essay fills a gap in the mortality securitization modeling literature by pricing mortality securities in an incomplete market framework. Using the Survey of Consumer Finances, my fourth essay creates a new financial vulnerability index to examine a household's life cycle demand for different types of life insurance.
Author: Mary Hardy Publisher: John Wiley & Sons ISBN: 0471392901 Category : Business & Economics Languages : en Pages : 309
Book Description
A comprehensive guide to investment guarantees in equity-linked life insurance Due to the convergence of financial and insurance markets, new forms of investment guarantees are emerging which require financial service professionals to become savvier in modeling and risk management. With chapters that discuss stock return models, dynamic hedging, risk measures, Markov Chain Monte Carlo estimation, and much more, this one-stop reference contains the valuable insights and proven techniques that will allow readers to better understand the theory and practice of investment guarantees and equity-linked insurance policies. Mary Hardy, PhD (Waterloo, Ontario, Canada), is an Associate Professor and Associate Chair of Actuarial Science at the University of Waterloo and is a Fellow of the Institute of Actuaries and an Associate of the Society of Actuaries, where she is a frequent speaker. Her research covers topics in life insurance solvency and risk management, with particular emphasis on equity-linked insurance. Hardy is an Associate Editor of the North American Actuarial Journal and the ASTIN Bulletin and is a Deputy Editor of the British Actuarial Journal.
Author: Richard Plat Publisher: ISBN: Category : Languages : en Pages : 21
Book Description
The last decennium a vast literature on stochastic mortality models has been developed. However, these models are often not directly applicable to insurance portfolios because: a) For insurers and pension funds it is more relevant to model mortality rates measured in insured amounts instead of measured in number of policies.b) Often there is not enough insurance portfolio specific mortality data available to fit such stochastic mortality models reliably. Therefore, in this paper a stochastic model is proposed for portfolio specific mortality experience. Combining this stochastic process with a stochastic country population mortality process leads to stochastic portfolio specific mortality rates, measured in insured amounts. The proposed stochastic process is applied to two insurance portfolios, and the impact on the Value at Risk for longevity risk is quantified. Furthermore, the model can be used to quantify the basis risk that remains when hedging portfolio specific mortality risk with instruments of which the payoff depends on population mortality rates.
Author: Runhuan Feng Publisher: CRC Press ISBN: 1351647725 Category : Business & Economics Languages : en Pages : 334
Book Description
The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.
Author: Annamaria Olivieri Publisher: Springer ISBN: 3319213776 Category : Mathematics Languages : en Pages : 521
Book Description
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.
Author: Samuel H. Cox
Author: Samuel H. Cox
Author: Geoff Chaplin
Author: Frederik Weber
Author: Katja Hanewald
Author: Michael Koller
Author: 
Author: Mary Hardy
Author: Richard Plat
Author: Runhuan Feng
Author: Annamaria Olivieri