Skip to main content
Log in

Optimal annuity portfolio under inflation risk

  • Original Paper
  • Published:
Computational Management Science Aims and scope Submit manuscript

Abstract

The paper investigates the importance of inflation-linked annuities in retirement planning. Given nominal, inflation-linked, and variable annuities, as well as bonds and stocks, we search for optimal consumption and investment decisions under two different objective functions: (1) maximization of expected utility of real consumption, and (2) minimization of expected deviations from an inflation-adjusted target. When optimizing the objective, we allow for rebalancing the portfolio during retirement by buying additional annuities and by trading bonds and stocks. To find the optimal solution, we apply a multi-stage stochastic programming approach. Our findings indicate that independently of the considered objective function, real annuities are a crucial asset in every portfolio. In addition, without investing in real annuities, the retiree has to rebalance the portfolio more frequently, and still obtains a lower and more volatile real consumption.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. We use British mortality tables for males based on 2000–2006 experience from UK self-administered pension schemes. Source: http://www.actuaries.org.uk/research-and-resources/documents/s1pml-all-pensioners-excluding-dependants-male-lives.

  2. We normalize the inflation index by assuming that \(I_{0}=1\).

  3. http://www.ons.gov.uk/.

  4. While in \({{\mathrm{\varvec{\xi }}}}\) realized inflation and stock returns are on a monthly basis, \({{\mathrm{\varvec{\zeta }}}}_\tau \) cumulates \(\tau \) monthly rates. The Nelson/Siegel parameter vector is the same for \({{\mathrm{\varvec{\xi }}}}\) and \({{\mathrm{\varvec{\zeta }}}}\).

  5. http://www.bankofengland.co.uk/statistics/pages/yieldcurve/default.aspx.

  6. Gilli et al. (2010) point out that estimation through OLS might be prone to a collinearity problem for certain values of \(\lambda ^i\). Therefore, we restrict \(\lambda ^i\) such that the correlation between the second and third factor loading is in the interval [\(-\)0.7, 0.7]. For nominal yields, the restriction turns out to be non-binding. For real yields, however, the optimal \(\lambda ^R\) is at the upper end of its admissible range.

  7. The analyzed historical data show that the average realized inflation rate has been higher than the break-even inflation, \({{\mathrm{\mathbb {E}}}}[rpi_t]=3.92\,\%\), which is common during the periods of relative illiquidity of inflation-linked bonds, see, e.g., Durham (2006). Nevertheless, recent years show that the inflation risk premium fluctuates around zero within \(\pm \)50 basis points, see, e.g., Christensen et al. (2010), therefore for our study we choose \({{\mathrm{\mathbb {E}}}}[rpi_t]={{\mathrm{\mathbb {E}}}}[bei]\).

  8. The inflation target range of the Bank of England is between 1 and 3 %, see http://www.bankofengland.co.uk/monetarypolicy/Pages/framework/framework.aspx.

  9. Note that the coefficients \(\alpha _t^{j,0}\) and \(\alpha _t^{j,i}\) differ for the purchases and sales.

References

  • Attié AP, Roache SK (2009) Inflation hedging for long term investors. Technical report. International Monetary Fund

  • Barberis NC (2000) Investing for the long run when returns are predictable. J Financ 55:225–264

    Article  Google Scholar 

  • Birge JR, Louveaux F (1997) Introduction to stochastic programming. Corrected edn. Springer series in operations research and financial engineering. Springer

  • Blake D, Wright D, Zhang Y (2013) Target-driven investing: optimal investment strategies in defined contribution pension plans under loss aversion. J Econ Dyn Control 37(1):195–209

    Article  Google Scholar 

  • Brennan M, Xia Y (2002) Dynamic asset allocation under inflation. J Financ 57(3):1201–1238

    Article  Google Scholar 

  • Brown JR, Mitchell OS, Poterba JM (2000) Mortality risk, inflation risk, and annuity products. NBER Working Papers 7812, National Bureau of Economic Research Inc

  • Brown JR, Mitchell OS, Poterba JM (2001) The role of real annuities and indexed bonds in an individual accounts retirement program. NBER Conf R pp 321–369

  • Cairns A (2000) Some notes on the dynamics and optimal control of stochastic pension fund models in continuous time. ASTIN Bull 30(1):19–55

    Article  Google Scholar 

  • Campbell JY, Viceira LM (2001) Who should buy long-term bonds? Am Econ Rev 91(1):99–127

    Article  Google Scholar 

  • Campbell JY, Chan YL, Viceira LM (2003) A multivariate model of strategic asset allocation. J Financ Econ 67:41–80

    Article  Google Scholar 

  • Carino DR, Ziemba WT (1998) Formulation of the Russell-Yasuda Kasai financial planning model. Oper Res 46(4):433–449

    Article  Google Scholar 

  • Christensen JHE, Lopez JA, Rudebusch GD (2010) Inflation expectations and risk premiums in an arbitrage-free model of nominal and real bond yields. J Money Credit Bank 42:143–178

    Article  Google Scholar 

  • Cowie A (2011) 95pc of private sector pensions have no inflation protection at all. The Telegraph. http://blogs.telegraph.co.uk/finance/ianmcowie/100012810/95pc-of-private-sector-pensions-have-no-inflation-protection-at-all/. Accessed 11 June 2014

  • Dellinger JK (2006) The handbook of variable income annuities. Wiley, Hoboken

    Google Scholar 

  • Dempster MAH (2006) Sequential importance sampling algorithms for dynamic stochastic programming. J Math Sci 133(4):1422–1444

    Article  Google Scholar 

  • Di Giacinto M, Federico S, Gozzi F, Vigna E (2014) Income drawdown option with minimum guarantee. Eur J Oper Res 234(3):610–624

    Article  Google Scholar 

  • Diebold FX, Li C (2006) Forecasting the term structure of government bond yields. J Econom 130:337–364

    Article  Google Scholar 

  • Durham J (2006) An estimate of the inflation risk premium using a three-factor affine term structure model. Technical report. FEDS Paper 2006–42, Federal Reserve Board

  • Fama E (1981) Stock returns, real activity, inflation, and money. Am Econ Rev 71(4):545–565

    Google Scholar 

  • Ferstl R, Weissensteiner A (2011) Asset-liability management under time-varying investment opportunities. J Bank Financ 35(1):182–192

    Article  Google Scholar 

  • Fischer S (1975) The demand for index bonds. J Polit Econ 83(3):509

    Article  Google Scholar 

  • Frauendorfer K (1996) Barycentric scenario trees in convex multistage stochastic programming. Math Program 75(2):277–293

    Article  Google Scholar 

  • Gerrard R, Haberman S, Vigna E (2004) Optimal investment choices post-retirement in a defined contribution pension scheme. Insur Math Econ 35(2):321–342

    Article  Google Scholar 

  • Geske R, Roll R (1983) The fiscal and monetary linkage between stock returns and inflation. J Financ 38(1):1–33

    Article  Google Scholar 

  • Geyer A, Hanke M, Weissensteiner A (2012) Inflation forecasts extracted from nominal and real yield curves. Working paper. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1727068

  • Gilli M, Große S, Schumann E (2010) Calibrating the Nelson–Siegel–Svensson model. COMISEF working paper series, pp 1–23. http://comisef.eu/files/wps031.pdf

  • Han N, Hung M (2012) Optimal asset allocation for DC pension plans under inflation. Insur Math Econ 51(1):172–181

    Article  Google Scholar 

  • Heitsch H, Römisch W (2011) In: Bertocchi MI, Consigli G, Dempster MAH (eds) Stochastic optimization methods in finance and energy. Handbooks in operations research and management science. Chap Scenario Tree Generation for Multi-stage Stochastic Programs. Springer, pp 313–342

  • Hochreiter R, Pflug GC (2007) Financial scenario generation for stochastic multi-stage decision processes as facility location problems. Ann Oper Res 152(1):257–272

    Article  Google Scholar 

  • Høyland K, Wallace SW (2001) Generating scenario trees for multistage decision problems. Manag Sci 47(2):295–307

    Article  Google Scholar 

  • Høyland K, Kaut M, Wallace SW (2003) A heuristic for moment-matching scenario generation. Comput Optim Appl 24(2–3):169–185

    Article  Google Scholar 

  • Joyce M, Lildholdt PM, Sorensen S (2010) Extracting inflation expectations and inflation risk premia from the term structure: a joint model of the UK nominal and real yield curves. J Bank Financ 34(2):281–294

    Article  Google Scholar 

  • Koijen RSJ, Nijman TE, Werker BJM (2011) Optimal annuity risk management. Rev Financ 15(4):799–833

    Article  Google Scholar 

  • Konicz AK, Mulvey JM (2015) Optimal savings management for individuals with defined contribution pension plans. Eur J Oper Res 243(1):233–247

    Article  Google Scholar 

  • Konicz AK, Pisinger D, Rasmussen KM, Steffensen M (2014) A combined stochastic programming and optimal control approach to personal finance and pensions. OR Spectr. doi:10.1007/s00291-014-0375-6

  • Kouwenberg R (2001) Scenario generation and stochastic programming models for asset liability management. Eur J Oper Res 134(2):279–292

    Article  Google Scholar 

  • Kuhn D (2005) Generalized bounds for convex multistage stochastic programs. Lecture notes in economics and mathematical systems, vol 548

  • Kwak M, Lim BH (2014) Optimal portfolio selection with life insurance under inflation risk. J Bank Financ 46:59–71

    Article  Google Scholar 

  • Lee B (1992) Causal relations among stock returns, interest-rates, real activity, and inflation. J Financ 47(4):1591–1603

    Article  Google Scholar 

  • Lütkepohl H (2005) Introduction to multiple time series analysis. Springer, Berlin

    Book  Google Scholar 

  • Milevsky MA, Young VR (2007) Annuitization and asset allocation. J Econ Dyn Control 31(9):3138–3177

    Article  Google Scholar 

  • Mulvey JM, Simsek KD, Zhang Z, Fabozzi FJ, Pauling WR (2008) Assisting defined-benefit pension plans. Oper Res 56(5):1066–1078

    Article  Google Scholar 

  • Nelson CR, Siegel AF (1987) Parsimonious modeling of yield curves. J Bus 60:473–489

    Article  Google Scholar 

  • Pedersen AMB, Weissensteiner A, Poulsen R (2013) Financial planning for young households. Ann Oper Res 205(1):55–76

    Article  Google Scholar 

  • Peijnenburg K, Nijman T, Werker B (2013) The annuity puzzle remains a puzzle. Technical report, DP 01/2010-003. Network for studies on pensions, aging and retirement

  • Pennanen T (2009) Epi-convergent discretizations of multistage stochastic programs via integration quadratures. Math Program 116(1–2):461–479

    Article  Google Scholar 

  • Pflug GC (2001) Scenario tree generation for multiperiod financial optimization by optimal discretization. Math Program 89(2):251–271

    Article  Google Scholar 

  • Römisch W, Schultz R (2001) In: Grötschel M, Krumke SO, Rambau J (eds) Online optimization of large scale systems. Chap multistage stochastic integer programs: an introduction. Springer-Verlag, pp 579–598

  • Shapiro A (2003) Inference of statistical bounds for multistage stochastic programming problems. Math Method Oper Res 58(1):57–68

    Article  Google Scholar 

  • Shapiro A, Dentcheva D, Ruszczynski A (2009) Lectures on stochastic programming: modeling and theory. The Society for Industrial and Applied Mathematics and The Mathematical Programming Society, Philadelphia, USA

  • Soares C, Warshawsky M (2003) Research paper no 2003-01. Annuity risk: volatility and inflation exposure in payments from immediate life annuities

  • Towler J (2013) A hard sell: the problem with inflation-linked annuities. IFAonline. http://www.ifaonline.co.uk/ifaonline/feature/2301326/a-hard-sell-the-problem-with-inflation-linked-annuities. Accessed 2 July 2014

  • Yaari ME (1965) Uncertain lifetime, life insurance, and the theory of the consumer. Review Econ Stud 32(2):137–150

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Agnieszka Karolina Konicz.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Konicz, A.K., Pisinger, D. & Weissensteiner, A. Optimal annuity portfolio under inflation risk. Comput Manag Sci 12, 461–488 (2015). https://doi.org/10.1007/s10287-015-0234-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10287-015-0234-1

Keywords

Navigation