Balancing on the Life Cycle: Target-Date Funds Need Better Diversification

2016 ◽  
Vol 42 (4) ◽  
pp. 12-27 ◽  
Author(s):  
Jusvin Dhillon ◽  
Antti Ilmanen ◽  
John Liew
2020 ◽  
Vol 24 (6) ◽  
pp. 1271-1311
Author(s):  
Servaas van Bilsen ◽  
Ilja A Boelaars ◽  
A. Lans Bovenberg

Abstract By analyzing the portfolio allocations of target date funds (TDFs), we document that the observed durations of TDF portfolios are inconsistent with the durations predicted by classical portfolio theory. We call this stylized fact the duration puzzle. We investigate to what extent several extensions of classical portfolio theory can explain the duration puzzle. More specifically, we consider the impact of human capital, inflation risk, and portfolio restrictions on the duration of the optimal portfolio. We find that it is difficult to explain the duration puzzle, especially for individuals aged between 35 and 65 years.


Author(s):  
Surya Kolluri ◽  
Cynthia Hutchins

Using a theoretical life cycle model, this chapter evaluates how much workers benefit from having the option to hire a financial advisor when it is costly for employees to rebalance their own financial portfolios. Results indicate that having access to a financial advisor at the start of one’s career can be quite beneficial. If delegation to an advisor is available only a decade after entering the labor market, the benefit of delegation is cut by half, and it falls further if delegation is available only later in life (at age 60). The chapter also examines whether simpler target date funds (TDF) and fixed weight portfolios benefit consumers, compared to the outcomes with customized financial advice. The authors show that the simpler portfolio products would need to be provided at zero cost, in order to benefit consumers as much as having access to a financial advisor.


2017 ◽  
Vol 52 (3) ◽  
pp. 1183-1209 ◽  
Author(s):  
Alexander Michaelides ◽  
Yuxin Zhang

We solve for optimal consumption and portfolio choice in a life-cycle model with short-sales and borrowing constraints; undiversifiable labor income risk; and a predictable, time-varying, equity premium and show that the investor pursues aggressive market timing strategies. Importantly, in the presence of stock market predictability, the model suggests that the conventional financial advice of reducing stock market exposure as retirement approaches is correct on average, but ignoring changing market information can lead to substantial welfare losses. Therefore, enhanced target-date funds (ETDFs) that condition on expected equity premia increase welfare relative to target-date funds (TDFs). Out-of-sample analysis supports these conclusions.


2021 ◽  
pp. 1-26
Author(s):  
Jin Sun ◽  
Dan Zhu ◽  
Eckhard Platen

ABSTRACT Target date funds (TDFs) are becoming increasingly popular investment choices among investors with long-term prospects. Examples include members of superannuation funds seeking to save for retirement at a given age. TDFs provide efficient risk exposures to a diversified range of asset classes that dynamically match the risk profile of the investment payoff as the investors age. This is often achieved by making increasingly conservative asset allocations over time as the retirement date approaches. Such dynamically evolving allocation strategies for TDFs are often referred to as glide paths. We propose a systematic approach to the design of optimal TDF glide paths implied by retirement dates and risk preferences and construct the corresponding dynamic asset allocation strategy that delivers the optimal payoffs at minimal costs. The TDF strategies we propose are dynamic portfolios consisting of units of the growth-optimal portfolio (GP) and the risk-free asset. Here, the GP is often approximated by a well-diversified index of multiple risky assets. We backtest the TDF strategies with the historical returns of the S&P500 total return index serving as the GP approximation.


2021 ◽  
pp. jor.2021.1.094
Author(s):  
Radu Gabudean ◽  
Francisco Gomes ◽  
Alexander Michaelides ◽  
Yuxin Zhang

2015 ◽  
Author(s):  
Edwin J. Elton ◽  
Martin J. Gruber ◽  
Andre de Souza ◽  
Christopher R. Blake

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