An approach for designing a menu of comprehensive income products for retirement (CIPRs) is proposed and demonstrated. The approach entails four steps: defining and characterising member types based on selected attributes; specifying a utility function to capture the objectives and preferences for each member type; conducting analysis of candidate investment and drawdown strategies, and hence select a product design; and communication to members. The last step uses attributes to describe the type of investor for which a product is designed, as well as setting out the key product features and the outcomes it may deliver.
AdlerTKritzmanM (2007) Mean–variance versus full-scale optimisation: In and out of sample. Journal of Asset Management7: 302–311.
2.
AgnewJRSzykmanLR (2005) Asset allocation and information overload: The influence of information display, asset choice, and investor experience. Journal of Behavioral Finance6: 57–70.
3.
AgnewJRBatemanHThorpS (2013) Financial literacy and retirement planning in Australia. Numeracy: Advancing Education in Quantitative Literacy6: 7.
4.
AlserdaGAGDellaertBGCSwinkelsL, et al. (2019) Individual pension risk preference elicitation and collective asset allocation with heterogeneity. Journal of Banking and Finance101: 206–225.
5.
AndréassonJGShevchenkoPV (2017) Assessment of policy changes to means-tested age pension using the expected utility model: Implication for decisions in retirement. Risks5: 47.
6.
AndréassonJGShevchenkoPVNovikovA (2017) Optimal consumption, investment and housing with means-tested public pension in retirement. Insurance: Mathematics and Economics75: 32–47.
7.
AsherAMeyrickeRThorpS, et al. (2017) Age pensioner decumulation: Responses to incentives, uncertainty and family need. Australian Journal of Management42: 583–607.
8.
BatemanHEckertCGewekeJ, et al. (2012) Financial competence and expectations formation: Evidence from Australia. Economic Record88: 39–63.
9.
BatemanHEckertCGewekeJ, et al. (2014) Financial competence, risk presentation and retirement portfolio preferences. Journal of Pension Economics and Finance13: 27–61.
BenartziSThalerRH (2007) Heuristics and biases in retirement savings behavior. Journal of Economic Perspectives21: 81–104.
13.
BlakeDWrightDZhangY (2013) Target-driven investing: Optimal investment strategies in defined contribution pension plans under loss aversion. Journal of Economic Dynamics and Control37: 195–209.
14.
BrooksCSangiorgiIHillenbrandC, et al. (2018) Why are older investors less willing to take financial risks?International Review of Financial Analysis56: 52–72.
15.
ButtAKhemkaG (2015) The effect of objective formulation on retirement decision making. Insurance: Mathematics and Economics64: 385–395.
16.
ButtADonaldMSFosterFD, et al. (2018) One size fits all: Tailoring retirement plan defaults. Journal of Economic Behavior and Organization145: 546–566.
17.
ButtAKhemkaGWarrenGJ (2019) What dividend imputation means for retirement savers. Economic Record95: 181–199.
18.
CardDRansomM (2011) Pension plan characteristics and framing effects in employee savings behavior. Review of Economics and Statistics93: 228–243.
19.
ChettyRFriedmanJNLeth-PetersenS, et al. (2014) Active vs. passive decisions and crowd-out in retirement savings accounts: Evidence from Denmark. Quarterly Journal of Economics129: 1141–1219.
20.
ChoSWSSaneR (2013) Means-tested age pensions and homeownership: Is there a link?Macroeconomic Dynamics17: 1281–1310.
21.
ChoiJJLaibsonDMadrianBC, et al. (2005) Passive decisions and potent defaults. In: WiseDA (ed.) Analyses in the Economics of Aging. Chicago, IL: University of Chicago Press, 59–78.
22.
ChybalskiFMarcinkiewiczE (2016) The replacement rate: An imperfect indicator of pension adequacy in cross-country analyses. Social Indicators Research126: 99–117.
23.
CoccoJFGomesFJMaenhoutPJ (2005) Consumption and portfolio choice over the life cycle. Review of Financial Studies18: 491–533.
24.
DahlquistMSettyOVestmanR (2018) On the asset allocation of a default pension fund. Journal of Finance73: 1893–1936.
DeetlefsAJBatemanHDobrescuLI, et al. (2019) Engagement with retirement savings: It is a matter of trust. Journal of Consumer Affairs53: 917–945.
28.
DingJ (2014) Essays on post-retirement financial planning and pension policy modelling in Australia. PhD Thesis, Macquarie University, Macquarie Park, NSW, Australia.
29.
EpsteinLGZinSE (1989) Substitution, risk aversion, and the temporal behavior of consumption and asset returns: A theoretical framework. Econometrica57: 937–969.
30.
GoetzmannWIngersollJSpiegelM, et al. (2007) Portfolio performance manipulation and manipulation-proof performance measures. Review of Financial Studies20: 1503–1546.
31.
HulleyHMckibbinRPedersenA, et al. (2013) Means-tested public pensions, portfolio choice and decumulation in retirement. Economic Record89: 31–51.
32.
IskhakovFThorpSBatemanH (2015) Optimal annuity purchases for Australian retirees. Economic Record91: 139–154.
33.
KahnemanDTverskyA (1979) Prospect theory: An analysis of decision under risk. Econometrica47: 263–292.
34.
KesavayuthDMyat KoKZikosV (2020) Financial risk attitudes and aging in Australia. Australian Economic Papers59: 43–54.
35.
KhemkaGTangYWarrenGJ (2020) The ‘right’ level for the Superannuation Guarantee: A straightforward issue by no means. Accounting and Finance. Epub ahead of print 6 December. DOI: 10.1111/acfi.12737.
36.
KingstonGThorpS (2005) Annuitization and asset allocation with HARA utility. Journal of Pension Economics and Finance4: 225–248.
LockwoodLM (2018) Incidental bequests and the choice to self-insure late-life risks. American Economic Review108: 2513–2550.
39.
LusardiAMitchellOS (2014) The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature52: 5–44.
40.
MertonRC (1969) Lifetime portfolio selection under uncertainty: The continuous-time case. Review of Economics and Statistics51: 247–257.
41.
MertonRC (1971) Optimum consumption and portfolio rules in a continuous-time model. Journal of Economic Theory3: 373–413.
42.
SamuelsonPA (1969) Lifetime portfolio selection by dynamic stochastic programming. Review of Economics and Statistics51: 239–246.
43.
SpicerAStavrunovaOThorpS (2016) How portfolios evolve after retirement: Evidence from Australia. Economic Record92: 241–267.
44.
Suari-AndreuEAlessieRAngeliniV (2019) The retirement-savings puzzle reviewed: The role of housing and bequests. Journal of Economic Surveys33: 195–225.
45.
TverskyAKahnemanD (1992) Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty5: 297–323.
46.
VelasquezMHesterPT (2013) An analysis of multi-criteria decision making methods. International Journal of Operations Research10: 56–66.
47.
WarrenGJ (2019) Choosing and using utility functions in forming portfolios. Financial Analysts Journal75: 39–69.
48.
WeilP (1989) The equity premium puzzle and the risk-free rate puzzle. Journal of Monetary Economics24: 401–421.
49.
YaoRSharpeDLWangF (2011) Decomposing the age effect on risk tolerance. Journal of Socio-Economics40: 879–887.
