Callan Target Date Index™
The Callan Target Date Index Asset Allocation chart provides insight into the underlying asset class composition of the Callan Target Date Index over the full asset allocation glidepath. Multiple views offer varying degrees of detail into asset allocation.
The Macro Level View depicts the allocation over the course of the Index’s glidepath (40 years before retirement and 20 years after retirement) across nine major asset classes.
The Micro Level Views show the allocation over the course of the Index’s glidepath broken out into much more granular asset classes with options to examine equity and fixed income asset classes separately.
Use the drop-down menu to the right to see the different views.
The Equity Rolldown Analysis chart displays the Callan Target Date Index’s equity allocation (excluding commodities and REITs) across the full asset allocation glidepath, including 40 years prior to and 20 years after retirement. The range in grey shows each target date vintage’s equity exposure at the 10th and 90th percentiles across the full glidepath.
Simply hover over the various lines in the chart to see the equity exposure for each vintage year.
Target Date Performance Snapshot
The Callan Target Date Index – Average of All Vintages chart gives a snapshot of the performance of the Callan Target Date Index. We show the aggregate performance of the universe of target date funds at a glance by equally weighting every “vintage” within the target date fund glidepath (e.g., 2015, 2020, 2025, etc.). The charts also show the range of performance of the Callan Target Date Index members, similarly weighted.
Click on the various vintage years to see the performance over time.
Index Performance as of 12/31/20
Fourth Quarter Performance Overview
The Callan Target Date Index™ rose 10.6% in 4Q20, the third consecutive quarter of gains. The median target date fund (TDF) manager outperformed the Index by 30 basis points, a reversal from returns over longer time horizons. For the one year ending Dec. 31, the Index return (+13.64%) slightly bested that of the median TDF manager (+13.58%). In addition, the Index’s trailing five-year return surpassed that of the median manager by about 11 basis points (+10.2% vs. +10.1%).
As equity markets continued to deliver strong returns following a tumultuous first quarter, the spread between the best- and worst-performing managers within the Target Date Index widened after two previous quarters in which it had narrowed. The 10th percentile manager gained 12.2% while the 90th percentile manager rose 9.1%. The one-year spread widened further to 6.2 percentage points from the previous quarter’s 5.5 points.
The S&P 500 followed two previous quarters of gains with a 12.2% rise in 4Q, while global ex-U.S. equity indices delivered even higher returns. The strong performance of equity relative to fixed income led longer-dated vintages, with their relatively large equity allocations, to outperform near-dated vintages. The median 2050 TDF manager gained 14.4% while the median 2020 TDF manager rose 7.8%. In addition, the median 2050 TDF’s trailing one-year return (+15.6%) well exceeds that of the median 2020 TDF (+11.5%).
Expense Ratio Analysis
The Expense Ratio Analysis shows the distribution of expense ratios for funds within the Target Date Index. The group includes the lowest fee share class of mutual funds as well as collective trusts. For this universe, the median expense ratio is 42 basis points; the 10th percentile is 66 bps; the 90th percentile is 10 bps (i.e. the higher the fee, the lower the ranking). Much of the difference is driven by active versus passive implementation of target date glidepaths.
This fee data will be updated on an annual basis.
The Callan Target Date Index is an equally weighted composite of 64 target date fund series, including both mutual funds and collective trusts. It is updated quarterly. To accurately benchmark a target date fund it is essential to determine an appropriate target date fund index. Many current target date indices simulate capital markets and derive an artificial glidepath to create a suite of target date indices.
This approach could be labeled biased or subjective – or even worse, arbitrary – because it does not objectively represent the target date opportunity set. After all, if a given target date fund’s performance differs from such an index, what does that really signify that is meaningful from an evaluation perspective? To avoid this problem, Callan constructed a consensus glidepath that is driven by the actual glidepaths offered within the industry.