We propose an approach to portfolio management over a finite time horizon that (i) does not require the precise knowledge of the underlying probability distributions, instead relying on range forecasts for the stock returns, and (ii) allows the fund manager to capture the degree of the investor’s risk aversion through a single, intuitive parameter called the budget of uncertainty. This budget represents the worst-case number of time periods with poor performance that the investor is willing to plan for. An application of this setting is target-date funds for pension fund management. We describe an efficient procedure to compute the dynamic allocation between (riskless) bonds and (riskier) stocks at each time period, and we illustrate the risk-to-time-horizon tradeoff on optimal allocation tables, which can easily be provided to fund participants to help them select their strategy. The proposed approach refines rules implemented by practitioners and provides an intuitive framework to incorporate risk in applications with end of horizon effects. In contrast with existing literature providing robust fund management approaches to mathematically sophisticated finance professionals, our goal is to provide a simple framework for less quantitative fund participants who seek to understand how stock return uncertainty and planned retirement date affect the optimal stock-vs-bond allocation in their portfolio. We extend our procedure to the case when the investor’s wealth is penalized for falling short of performance benchmarks across the time horizon. We also discuss the case where the manager can invest in multiple stocks. Numerical results are provided.
Accepté le :
DOI : 10.1051/ro/2017066
Mots-clés : Target-date funds, decision-making under uncertainty, stock-bond allocation mix
@article{RO_2019__53_1_1_0, author = {Dziecichowicz, Michael and Thiele, Aur\'elie C.}, title = {Robust stock and bond allocation with end-of-horizon effects}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {1--28}, publisher = {EDP-Sciences}, volume = {53}, number = {1}, year = {2019}, doi = {10.1051/ro/2017066}, zbl = {1414.90195}, mrnumber = {3899027}, language = {en}, url = {http://www.numdam.org/articles/10.1051/ro/2017066/} }
TY - JOUR AU - Dziecichowicz, Michael AU - Thiele, Aurélie C. TI - Robust stock and bond allocation with end-of-horizon effects JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2019 SP - 1 EP - 28 VL - 53 IS - 1 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2017066/ DO - 10.1051/ro/2017066 LA - en ID - RO_2019__53_1_1_0 ER -
%0 Journal Article %A Dziecichowicz, Michael %A Thiele, Aurélie C. %T Robust stock and bond allocation with end-of-horizon effects %J RAIRO - Operations Research - Recherche Opérationnelle %D 2019 %P 1-28 %V 53 %N 1 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2017066/ %R 10.1051/ro/2017066 %G en %F RO_2019__53_1_1_0
Dziecichowicz, Michael; Thiele, Aurélie C. Robust stock and bond allocation with end-of-horizon effects. RAIRO - Operations Research - Recherche Opérationnelle, Tome 53 (2019) no. 1, pp. 1-28. doi : 10.1051/ro/2017066. http://www.numdam.org/articles/10.1051/ro/2017066/
[1] Target-date funds take over Barron’s. July 5 issue (2014).
,[2] Robust modeling of multi-stage portfolio problems, in: High Performance Optimiza. Springer, New York, NY (2000) 303–328. | DOI | MR | Zbl
, and ,[3] Robust convex optimization. Math. Oper. Res. 23 (1998) 769–805. | DOI | MR | Zbl
and ,[4] A robust optimization approach to inventory theory. Oper. Res. 54 (2006a) 150–168. | DOI | MR | Zbl
and ,[5] A hierarchy of near-optimal policies for multistage adaptive optimization. IEEE Trans. Automatic Control 56 (2011) 2809–2824. | DOI | MR | Zbl
, and ,[6] Shortfall as a risk measure: properties, optimization and applications. J. Econ. Dynamics Control 28 (2000) 1353–1381. | DOI | MR | Zbl
, and ,[7] Robust multiperiod portfolio management in the presence of transaction costs. Comput. Oper. Res. 35 (2008) 3–17. | DOI | MR | Zbl
and ,[8] Price of Robustness. Oper. Res. 52 (2004) 35–53. | DOI | MR | Zbl
and ,[9] Introduction to Stochastic Programming, 2nd edition. Springer, New York, NY (2011). | MR | Zbl
and ,[10] Asset/liability management for pension funds using CVaR constraints. J. Risk Finance 3 (1999) 57–71. | DOI
, and ,[11] The Russel-Yasuda Kasai model: An asset-liability model for a Japanese insurance company using multistage stochastic programming. Interfaces 24 (1994) 29–49. | DOI
, , , , , , and ,[12] Dynamic stochastic programming for asset-liability management. Ann. Oper. Res. 81 (1998) 131–162. | DOI | MR | Zbl
and ,[13] Optimal investment strategies in the presence of a minimum guarantee. Insurance: Math. Econom. 33 (2003) 189–207. | MR | Zbl
, and ,[14] Robust timing of markdowns. Ann. Oper. Res. 235 (2015) 203–231. | DOI | MR | Zbl
, and ,[15] The new wealth management: The Financial Advisor’s Guide to Managing and Investing Client Assets. Wiley, New York, NY (2011).
, and ,[16] Robust Portfolio Optimization and Management. Wiley, New York, NY (2007).
, , and ,[17] The cross-section of expected stock returns. J. Finance 47 (1992) 427–465.
and ,[18] Common risk factors in the returns on stocks and bonds. J. Financial Econom. 33 (1993) 3–56. | DOI | Zbl
and ,[19] Recent advances in robust optimization: an overview. Eur. J. Oper. Res. 235 (2014) 471–483. | DOI | MR | Zbl
, and ,[20] The Innovest Austrian Pension Fund Financial Planning Model InnoALM. Oper. Res. 56 (2008) 797–810. | DOI | MR | Zbl
, , and ,[21] High-Performance Computing for Asset-Liability Management. Oper. Res. 49 (2011) 879–891. | DOI | MR | Zbl
and ,[22] A robust optimization approach to asset-liability management under time-varying investment opportunities. J. Bank. Finance 37 (2013) 2031–2041. | DOI
and ,[23] Optimal investment strategies and risk measures in defined contribution pension schemes. Insurance: Math. Econom. 31 (2002) 35–69. | MR | Zbl
and ,[24] Options, Futures and Other Derivatives, 9th ed. Pearson, London (2014). | Zbl
,[25] A robust optimization approach to pension fund management. J. Asset Manag. 11 (2010) 163–177. | DOI
and ,[26] Stochastic Program. Wiley, New York (1994). | MR | Zbl
and ,[27] Optimal pension fund management under multi-period risk minimization. Ann. Oper. Res. 166 (2009) 261–270. | DOI | MR | Zbl
and ,[28] Scenario generation and stochastic programming models for asset liability management. Eur. J. Oper. Res. 134 (2001) 279–292. | DOI | MR | Zbl
,[29] An asset and liability management system for Towers Perrin – Tillinghast. Interfaces 30 (2000) 96–114. | DOI
, and ,[30] Innovations in pension fund management. Stanford University Press. Stanford, CA (2001).
,[31] A robust optimization approach to finance. Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MA, USA (2002).
,[32] Robust approaches to pension fund asset liability management under uncertainty, in Optimal financial decision making under uncertainty. Springer, New York, NY (2017). | MR
, and ,[33] Time series and system analysis, with applications. John Wiley and Sons Inc., New York, NY (1983). | Zbl
and ,[34] Budgeting and monitoring pension fund risk. Financial Anal. J. 58 (2002) 74–86. | DOI
,[35] Convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 21 (1973) 1153–1157. | DOI | Zbl
,[36] Optimal investment strategy for defined contribution pension schemes. Insurance: Mathe. Econom. 28 (2001) 233–262. | MR | Zbl
and ,[37] Theory of games and economic behavior. Princeton University Press, Princeton, NJ (1953). | MR | Zbl
and ,Cité par Sources :