Volume 73, Issue 4

A Two‐Factor Model for Stochastic Mortality with Parameter Uncertainty: Theory and Calibration

Andrew J. G. Cairns

Andrew J. G. Cairns is at Maxwell Institute for Mathematical Sciences, Edinburgh, and Actuarial Mathematics and Statistics, Heriot‐Watt University, Edinburgh, EH14 4AS, United Kingdom; e‐mail: A.Cairns@ma.hw.ac.uk

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David Blake

David Blake is at Pensions Institute, Cass Business School, City University, 106 Bunhill Row, London, EC1Y 8TZ, United Kingdom.

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Kevin Dowd

Kevin Dowd is at Centre for Risk & Insurance Studies, Nottingham University Business School, Jubilee Campus, Nottingham, NG8 1BB, United Kingdom. The author can be contacted via.

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First published: 29 November 2006
Citations: 525

The authors would like to thank two anonymous referees for their very helpful observations and comments. AC wishes to thank the Isaac Newton Institute in Cambridge, where he was a visitor during the preparation of this paper. This research was conducted under research grants RES‐000‐27‐0014 and RES‐000‐23‐1036 from the UK Economic and Social Research Council.

Abstract

In this article, we consider the evolution of the post‐age‐60 mortality curve in the United Kingdom and its impact on the pricing of the risk associated with aggregate mortality improvements over time: so‐called longevity risk. We introduce a two‐factor stochastic model for the development of this curve through time. The first factor affects mortality‐rate dynamics at all ages in the same way, whereas the second factor affects mortality‐rate dynamics at higher ages much more than at lower ages. The article then examines the pricing of longevity bonds with different terms to maturity referenced to different cohorts. We find that longevity risk over relatively short time horizons is very low, but at horizons in excess of ten years it begins to pick up very rapidly.

A key component of the article is the proposal and development of a method for calculating the market risk‐adjusted price of a longevity bond. The proposed adjustment includes not just an allowance for the underlying stochastic mortality, but also makes an allowance for parameter risk. We utilize the pricing information contained in the November 2004 European Investment Bank longevity bond to make inferences about the likely market prices of the risks in the model. Based on these, we investigate how future issues might be priced to ensure an absence of arbitrage between bonds with different characteristics.

Number of times cited according to CrossRef: 525

  • Living longer in high longevity risk, Journal of Demographic Economics, 10.1017/dem.2019.20, 86, 1, (47-86), (2020).
  • The impact of economic growth in mortality modelling for selected OECD countries, Journal of Forecasting, 10.1002/for.2640, 39, 3, (533-550), (2020).
  • Incorporating hierarchical credibility theory into modelling of multi-country mortality rates, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2020.01.001, (2020).
  • An age-at-death distribution approach to forecast cohort mortality, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2020.01.007, (2020).
  • Trends and Projections in Breast Cancer Mortality among four Asian countries (1990–2017): Evidence from five Stochastic Mortality Models, Scientific Reports, 10.1038/s41598-020-62393-1, 10, 1, (2020).
  • Transitory mortality jump modeling with renewal process and its impact on pricing of catastrophic bonds, Journal of Computational and Applied Mathematics, 10.1016/j.cam.2020.112829, (112829), (2020).
  • Killing off cohorts: Forecasting mortality of non-extinct cohorts with the penalized composite link model, International Journal of Forecasting, 10.1016/j.ijforecast.2020.03.003, (2020).
  • The New Fertility Policy and the Actuarial Balance of China Urban Employee Basic Endowment Insurance Fund Based on Stochastic Mortality Model, Mathematical Problems in Engineering, 10.1155/2020/3596384, 2020, (1-12), (2020).
  • A DSA Algorithm for Mortality Forecasting, SSRN Electronic Journal, 10.2139/ssrn.3537368, (2020).
  • Longevity forecasting by socio‐economic groups using compositional data analysis, Journal of the Royal Statistical Society: Series A (Statistics in Society), 10.1111/rssa.12555, 183, 3, (1167-1187), (2020).
  • The heat wave model for constructing two-dimensional mortality improvement scales with measures of uncertainty, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2020.04.001, (2020).
  • Modelling life tables with advanced ages: An extreme value theory approach, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2020.04.004, (2020).
  • Incorporating crossed classification credibility into the Lee–Carter model for multi-population mortality data, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2020.06.005, 93, (353-368), (2020).
  • Ethical and social implications of approaching death prediction in humans - when the biology of ageing meets existential issues, BMC Medical Ethics, 10.1186/s12910-020-00502-5, 21, 1, (2020).
  • Spatial patterns of mortality in the United States: A spatial filtering approach, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2020.08.003, (2020).
  • Stochastic Population Forecasting: A Bayesian Approach Based on Evaluation by Experts, Developments in Demographic Forecasting, 10.1007/978-3-030-42472-5_2, (21-42), (2020).
  • Multi-population Mortality Projection: The Augmented Common Factor Model with Structural Breaks, SSRN Electronic Journal, 10.2139/ssrn.3614333, (2020).
  • NATURAL HEDGES WITH IMMUNIZATION STRATEGIES OF MORTALITY AND INTEREST RATES, ASTIN Bulletin, 10.1017/asb.2019.38, (1-31), (2020).
  • A Multi-population Approach to Forecasting All-Cause Mortality Using Cause-of-Death Mortality Data, North American Actuarial Journal, 10.1080/10920277.2019.1662316, (1-36), (2020).
  • Improving HMD Mortality Estimates with HFD Fertility Data, North American Actuarial Journal, 10.1080/10920277.2019.1672567, (1-25), (2020).
  • Mortality Risk Management Under the Factor Copula Framework—With Applications to Insurance Policy Pools, North American Actuarial Journal, 10.1080/10920277.2019.1653201, (1-13), (2020).
  • Trends in Canadian Mortality by Pension Level: Evidence from the CPP and QPP, North American Actuarial Journal, 10.1080/10920277.2019.1679190, (1-29), (2020).
  • Forward Mortality Rates in Discrete Time I: Calibration and Securities Pricing, North American Actuarial Journal, 10.1080/10920277.2019.1649159, (1-26), (2020).
  • A Multi-state Model of Functional Disability and Health Status in the Presence of Systematic Trend and Uncertainty, North American Actuarial Journal, 10.1080/10920277.2019.1708755, (1-23), (2020).
  • On the Structure and Classification of Mortality Models, North American Actuarial Journal, 10.1080/10920277.2019.1649156, (1-20), (2020).
  • Getting life expectancy estimates right for pension policy: period versus cohort approach, Journal of Pension Economics and Finance, 10.1017/S1474747220000050, (1-20), (2020).
  • De-risking long-term care insurance, Soft Computing, 10.1007/s00500-019-04658-0, (2020).
  • Drivers of Mortality Dynamics: Identifying Age/Period/Cohort Components of Historical U.S. Mortality Improvements, North American Actuarial Journal, 10.1080/10920277.2020.1716808, (1-23), (2020).
  • Dynamic modelling and coherent forecasting of mortality rates: a time-varying coefficient spatial-temporal autoregressive approach, Scandinavian Actuarial Journal, 10.1080/03461238.2020.1773523, (1-21), (2020).
  • Retiree Mortality Forecasting: A Partial Age-Range or a Full Age-Range Model?, Risks, 10.3390/risks8030069, 8, 3, (69), (2020).
  • Mean reversion in stochastic mortality: why and how?, European Actuarial Journal, 10.1007/s13385-020-00237-y, (2020).
  • Fitting multi-population mortality models to socio-economic groups, Annals of Actuarial Science, 10.1017/S1748499520000184, (1-29), (2020).
  • Modeling Housing Price Dynamics and their Impact on the Cost of no-Negative-Equity-Guarantees for Equity Releasing Products, The Journal of Real Estate Finance and Economics, 10.1007/s11146-020-09776-3, (2020).
  • Using hierarchical Archimedean copulas for modelling mortality dependence and pricing mortality-linked securities, Annals of Actuarial Science, 10.1017/S1748499520000251, (1-14), (2020).
  • AI in actuarial science – a review of recent advances – part 1, Annals of Actuarial Science, 10.1017/S1748499520000238, (1-23), (2020).
  • AI in actuarial science – a review of recent advances – part 2, Annals of Actuarial Science, 10.1017/S174849952000024X, (1-29), (2020).
  • Longevity risk and capital markets: the 2018–19 update, Annals of Actuarial Science, 10.1017/S1748499520000202, (1-43), (2020).
  • Asymmetry in mortality volatility and its implications on index-based longevity hedging, Annals of Actuarial Science, 10.1017/S174849952000010X, (1-24), (2020).
  • Identifiability in age/period mortality models, Annals of Actuarial Science, 10.1017/S1748499520000111, (1-39), (2020).
  • Constraints, the identifiability problem and the forecasting of mortality, Annals of Actuarial Science, 10.1017/S1748499520000020, (1-30), (2020).
  • Optimal portfolio choice with tontines under systematic longevity risk, Annals of Actuarial Science, 10.1017/S1748499520000214, (1-14), (2020).
  • CBDX: a workhorse mortality model from the Cairns–Blake–Dowd family, Annals of Actuarial Science, 10.1017/S1748499520000159, (1-16), (2020).
  • Linking annuity benefits to the longevity experience: alternative solutions, Annals of Actuarial Science, 10.1017/S1748499519000137, (1-22), (2020).
  • Longevity trend risk over limited time horizons, Annals of Actuarial Science, 10.1017/S174849952000007X, (1-16), (2020).
  • Mortality data reliability in an internal model, Annals of Actuarial Science, 10.1017/S1748499520000081, (1-25), (2020).
  • The Lee-Carter quantile mortality model, Scandinavian Actuarial Journal, 10.1080/03461238.2019.1707109, (1-20), (2020).
  • Cohort and value-based multi-country longevity risk management, Scandinavian Actuarial Journal, 10.1080/03461238.2019.1711450, (1-27), (2020).
  • Introducing and Evaluating a New Multiple-Component Stochastic Mortality Model, North American Actuarial Journal, 10.1080/10920277.2019.1658606, (1-53), (2020).
  • A Comparison of Forecasting Mortality Models Using Resampling Methods, Mathematics, 10.3390/math8091550, 8, 9, (1550), (2020).
  • Life expectancy and lifespan disparity forecasting: a long short-term memory approach, Scandinavian Actuarial Journal, 10.1080/03461238.2020.1814855, (1-24), (2020).
  • Stochastic modelling and projection of mortality improvements using a hybrid parametric/semi-parametric age–period–cohort model, Scandinavian Actuarial Journal, 10.1080/03461238.2020.1815238, (1-22), (2020).
  • Multi-population mortality forecasting using tensor decomposition, Scandinavian Actuarial Journal, 10.1080/03461238.2020.1740314, (1-22), (2020).
  • WAVELET-BASED FEATURE EXTRACTION FOR MORTALITY PROJECTION, ASTIN Bulletin, 10.1017/asb.2020.18, (1-33), (2020).
  • The Impact of Model Uncertainty on Index-Based Longevity Hedging and Measurement of Longevity Basis Risk, Risks, 10.3390/risks8030080, 8, 3, (80), (2020).
  • Constructing dynamic life tables with a single-factor model, Decisions in Economics and Finance, 10.1007/s10203-020-00308-5, (2020).
  • Market Price of Longevity Risk for a Multi‐Cohort Mortality Model With Application to Longevity Bond Option Pricing, Journal of Risk and Insurance, 10.1111/jori.12273, 87, 3, (571-595), (2019).
  • A stochastic implementation of the APCI model for mortality projections, British Actuarial Journal, 10.1017/S1357321718000260, 24, (2019).
  • Spatial Patterns of Mortality in the United States: A Spatial Filtering Approach, SSRN Electronic Journal, 10.2139/ssrn.3359353, (2019).
  • Annuities, Encyclopedia of Gerontology and Population Aging, 10.1007/978-3-319-69892-2, (1-8), (2019).
  • On the removal of initial state bias from simulation data, The Journal of Chemical Physics, 10.1063/1.5063556, 150, 10, (104105), (2019).
  • One size fits all? Drawdown structures in Australia and The Netherlands, The Journal of the Economics of Ageing, 10.1016/j.jeoa.2018.07.002, 13, (14-27), (2019).
  • A Bayesian approach to developing a stochastic mortality model for China, Journal of the Royal Statistical Society: Series A (Statistics in Society), 10.1111/rssa.12473, 182, 4, (1523-1560), (2019).
  • Pitfalls and merits of cointegration-based mortality models, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2019.10.005, (2019).
  • The valuation of no-negative equity guarantees and equity release mortgages, Economics Letters, 10.1016/j.econlet.2019.108669, (108669), (2019).
  • Semiparametric approaches for modelling mortality with application to university employee data, Journal of Physics: Conference Series, 10.1088/1742-6596/1306/1/012050, 1306, (012050), (2019).
  • A New Toolkit for Mortality Data Analytics, Stochastic Models, Statistics and Their Applications, 10.1007/978-3-030-28665-1_30, (393-407), (2019).
  • Forecasting mortality rate improvements with a high-dimensional VAR, Insurance: Mathematics and Economics, 10.1016/j.insmatheco.2019.07.004, 88, (255-272), (2019).
  • Hedging Longevity Risk in Defined Contribution Pension Schemes, SSRN Electronic Journal, 10.2139/ssrn.3539724, (2019).
  • Modelling Socio-Economic Differences in Mortality Using a New Affl uence Index, SSRN Electronic Journal, 10.2139/ssrn.3376527, (2019).
  • Gompertz Law Revisited: Forecasting Mortality with a Multi-factor Exponential Model, SSRN Electronic Journal, 10.2139/ssrn.3495369, (2019).
  • Actuarial Modeling and Analysis of the Hong Kong Life Annuity Scheme, Asia-Pacific Journal of Risk and Insurance, 10.1515/apjri-2018-0013, 0, 0, (2019).
  • Annuities, long-term care insurance, and insurer solvency, The Geneva Papers on Risk and Insurance - Issues and Practice, 10.1057/s41288-019-00125-x, 44, 2, (252-276), (2019).
  • Still living with mortality: the longevity risk transfer market after one decade, British Actuarial Journal, 10.1017/S1357321718000314, 24, (2019).
  • Managing Systematic Mortality Risk in Life Annuities: An Application of Longevity Derivatives, Risks, 10.3390/risks7010002, 7, 1, (2), (2019).
  • A multi-dimensional Bühlmann credibility approach to modeling multi-population mortality rates, Scandinavian Actuarial Journal, 10.1080/03461238.2018.1563911, (1-26), (2019).
  • Pricing longevity-linked derivatives using a stochastic mortality model, Communications in Statistics - Theory and Methods, 10.1080/03610926.2018.1563171, (1-20), (2019).
  • Modelling and forecasting adult age-at-death distributions, Population Studies, 10.1080/00324728.2018.1545918, (1-20), (2019).
  • An Indexation Mechanism for Retirement Age: Analysis of the Gender Gap, Risks, 10.3390/risks7010021, 7, 1, (21), (2019).
  • Credible Regression Approaches to Forecast Mortality for Populations with Limited Data, Risks, 10.3390/risks7010027, 7, 1, (27), (2019).
  • An introduction to gevistic regression mortality models, Scandinavian Actuarial Journal, 10.1080/03461238.2019.1586756, (1-17), (2019).
  • Valor Presente de las Pensiones en el Régimen de Prima Media de Colombia, Cuadernos de Economía, 10.15446/cuad.econ.v38n76.60002, 38, 76, (173-206), (2019).
  • Pricing of Longevity Derivatives and Cost of Capital, Risks, 10.3390/risks7020041, 7, 2, (41), (2019).
  • MODELLING SOCIO-ECONOMIC DIFFERENCES IN MORTALITY USING A NEW AFFLUENCE INDEX, ASTIN Bulletin, 10.1017/asb.2019.14, (1-36), (2019).
  • A neural network extension of the Lee–Cartermodel to multiple populations, Annals of Actuarial Science, 10.1017/S1748499519000071, (1-21), (2019).
  • Mortality Forecasting: How Far Back Should We Look in Time?, Risks, 10.3390/risks7010022, 7, 1, (22), (2019).
  • ECONOMIC SCENARIO GENERATOR AND PARAMETER UNCERTAINTY: A BAYESIAN APPROACH, ASTIN Bulletin, 10.1017/asb.2019.6, (1-38), (2019).
  • MODELLING MORTALITY DEPENDENCE WITH REGIME-SWITCHING COPULAS, ASTIN Bulletin, 10.1017/asb.2019.10, (1-35), (2019).
  • Experience Prospective Life-Tables for the Algerian Retirees, Risks, 10.3390/risks7020038, 7, 2, (38), (2019).
  • Hedging Annuity Risks with the Age-Period-Cohort Two-Population Gravity Model, North American Actuarial Journal, 10.1080/10920277.2019.1652102, (1-12), (2019).
  • Optimal Portfolio Choice in Retirement With Participating Life Annuities, North American Actuarial Journal, 10.1080/10920277.2019.1650284, (1-14), (2019).
  • A Synthesis Mortality Model for the Elderly, North American Actuarial Journal, 10.1080/10920277.2019.1651659, (1-25), (2019).
  • The impact of the choice of life table statistics when forecasting mortality, Demographic Research, 10.4054/DemRes.2019.41.43, 41, (1235-1268), (2019).
  • Using Graduation to Modify the Estimation of Lee–Carter Model for Small Populations, North American Actuarial Journal, 10.1080/10920277.2019.1650288, (1-11), (2019).
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