Dynamic asset allocation for target date funds under the benchmark approach

Jin Sun, Dan Zhu, Eckhard Platen

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageEnglish
Pages (from-to)449-474
Number of pages26
JournalASTIN Bulletin
Volume51
Issue number2
DOIs
Publication statusPublished - May 2021

Keywords

  • benchmark approach
  • dynamic asset allocation
  • optimal glide path
  • Target date funds

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