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Viewpoints
September 2012

Loss Capacity Drives 401(k) Investment Default Evaluation

Stacy Schaus, Ying Gao

Article Introduction
  • ​Regardless of asset allocation structure, an investment default option should maximize the likelihood that each plan participant will meet his or her retirement income needs.
  • One of the keys to meeting a set income replacement goal is to understand how much plan participants can afford to lose at every age as they approach retirement.
  • PIMCO has identified steps that plan sponsors can take to evaluate and select an investment default option relative to this retirement income objective and participants’ capacity for loss.
Article Main Body
Selecting the appropriate investment default option for a defined contribution (DC) plan is likely to be the most important decision that plan sponsors will make. This is particularly true for the majority of DC plans that automatically enroll participants and invest their contributions into an investment default option – predominantly target-date strategies. Behavioral studies suggest that participants are most likely to remain invested in the default option rather than shift their allocations to other choices offered in the plan. Given this reality, the default selection should be appropriate for participants not only at the time of joining the plan, but also throughout their careers and even during retirement. That’s a tall order to fill, so where should a plan sponsor or fiduciary begin in selecting and evaluating appropriate default investment strategies?

Let’s begin by identifying the objective and success measure for most plans. Regardless of asset allocation structure, the investment default should maximize the likelihood that each plan participant will meet his or her retirement income needs. For most U.S. workers, that means replacing 40%-60% of final pay in inflation-adjusted dollars. Defining “success” for a DC plan as meeting a set income replacement goal also helps us understand and measure risk; that is, risk may be defined as the potential for shortfall relative to the retirement income replacement goal. One of the keys to meeting this goal is to understand how much plan participants can afford to lose at every age as they approach retirement, without jeopardizing their retirement plans. Based on our research, we believe participants’ capacity for loss may be much lower than many investment default options accept as tolerable. We have identified steps that plan sponsors can take to evaluate and select the investment default relative to this retirement income objective and participants’ capacity for loss.

As we consider the appropriate metrics to both select and evaluate investment defaults, we believe it is critical for DC plans to maximize the number of people likely to reach their retirement income goals. Participants have only one chance to get it right, so the asset allocation should be on target to get them to their goals within a set risk limit. What’s more, we believe investment default options should be evaluated relative to whether they are on track to meeting the income goal; we suggest evaluating the default’s tracking error to the outcome as a more appropriate metric than comparing performance relative to a peer group or an index composite, which, in our view, is misaligned to the objective of DC plans. Whether the investment default is outperforming other defaults that may have entirely different objectives or risk levels, is, we believe, both irrelevant and potentially dangerous. 

To offer an analogy, our goal as a society cannot be that all fifth graders have higher reading scores than the average or median fifth grader. Rather, we should be seeking that they all are able to read at a particular level. The same is true for DC investment defaults. Our goal is not that the investment default is better than the average or median investment default; rather, we are seeking an investment default that is most likely to help each DC participant meet his retirement income goal. 

Steps to selecting an investment default option
We have identified three steps in selecting or creating an investment default option appropriate for plan participants: identify a risk budget, work to maximize return and diversification, and guard against market shocks.

Identify a risk budget. The biggest “risk” in a DC plan may be failing to build sufficient purchasing power through inflation-adjusted returns to meet participants’ income needs in retirement. If the target income replacement for a plan is 50% of final pay, failure is falling short of this number. Understanding this risk allows plan sponsors to establish an appropriate risk budget. So the question becomes: How much can participants afford to lose at various ages as they approach retirement and still meet this income replacement need?

Based on the savings rate and match levels of your DC plan, you can mathematically derive the maximum 12-month loss workers can afford to incur, yet retain the likelihood of replacing at least 50% of final pay. This analysis provides the “risk budget” by age band or vintage for your plan. In PIMCO’s 2012 Defined Contribution Consulting Support and Trends Survey, we asked 39 consulting firms what they believe is the loss capacity for DC plan participants at various ages. You may be surprised by the loss capacity given by most consultants, especially for those over age 65: less than 5%, as shown in Figure 1.

 
Currently, most plans in the U.S. use target-date strategies as the investment default option. These strategies allocate assets based on an underlying glide path, shifting from more aggressive to more conservative assets as participants near their expected retirement date. Keeping in mind the loss capacity defined by the consultants, let’s take a look at the implied loss capacity embedded within the market average glide path constructed by MarketGlide, which is equally weighted across 37 target-date strategies in the marketplace today.

Figure 2 shows the market average glide path’s perceived loss capacity modeled as the maximum 12-month value at risk (VaR) at both the 99.5% and 95% confidence levels. Of particular note, while the consultants believe that participants at retirement date can tolerate no more than a 5% loss, the market average glide path may expose them to a 22% 12-month drawdown. This same analysis may be done comparing other types of asset allocation investment default options, including target-risk strategies, which may include a single or series of balanced portfolios differing by risk level, and managed account default allocations, which are diversified, often personally tailored portfolios.

 
But who’s right? The consultants or the average target-date strategy manager? At PIMCO, we believe the most instructive way to think about loss capacity is to ask how much a participant can afford to lose, yet still meet the retirement income goal. Based on a set of assumptions (a starting salary of $50,000; real annual wage increase of 1%; saving rate schedule of 6% in years 1-10, 7.3% in years 11-20, 7.9% in years 21-30, 9.8% for years 31-40; an employer match of 3.5%; and an annuity rate of 6%) about the typical starting salary, pay increases, contribution rates, and investment returns, we believe the consultants’ suggested loss capacity is about right for an “outcome-oriented” investment default option that seeks to replace 50% of a worker’s final pay. Based on PIMCO’s calculations, an outcome-based glide path can be designed to not exceed the “outcome-based” risk budget, and reduce the risk of plan participants’ failing to meet their income-replacement goals. Figure 3 shows an “outcome-based” glide path’s risk budget compared to that of the market average glide path and the consultant-defined loss capacity. You will note that the consultant suggested maximum loss capacity is significantly lower than the market average glide path and also lower than, yet much closer to, the outcome-based glide path.

 
Keep in mind, even in calculating the risk budget with a 99.5% confidence level, actual losses may fall outside this confidence range. As we recently experienced with the financial crisis of 2008, the market average glide path for those 65 years of age (i.e., the 2010 vintage) lost 23% while some lost over 40% of their value, according to Morningstar.

Work to maximize return and diversification. Expected returns of an asset allocation should be maximized, but it is also essential that losses not exceed the maximum loss capacities or budgets at various ages. In addition, diversification should be evaluated not only on an asset class level, but more importantly in terms of what drives volatility. What matters is how an investment behaves, rather than what it is called. For instance, high-yield bonds are within the fixed income asset class, but they often move up and down in value with the equity markets. That is, high-yield bonds may behave more like equities than fixed income, especially during times of market stress when many asset class correlations tend to rise. At PIMCO, we identify these drivers of volatility as “risk factors.” Figure 4 compares the volatility of the market average glide path to PIMCO’s outcome-based glide path; the latter offers the potential for both a lower overall level of volatility and more diversified sources of risk as the retirement date approaches.

 
We believe it is also critical to evaluate how an asset allocation may fare during different economic environments, including: “normal,” when returns are proportionally aligned with volatility and higher risk means higher return; turbulent, when returns across a set of factors are unusually high or low; and inflationary, when the annualized monthly change in the CPI exceeds 3%. In our view, an allocation that is risk diversified is more likely to weather various markets more effectively, thus increasing the likelihood that participants will reach their retirement income goals.

Guard against market shocks. Market shocks occur far more frequently than many may think. These shocks may exceed the risk budget of the participants and thus require specific hedging. If we look at the equity market and rely on a normal probability distribution to determine the frequency and potential severity of market declines, we would expect that a market move of plus or minus 4.5% would have occurred seven times in the last century. Yet in fact, since 1916, the Dow Jones Industrial Average has had 414 such days, as shown in Figure 5. Unfortunately, diversification alone is often insufficient to cushion portfolios against such losses, so evaluating how an asset allocation structure may hedge against sudden drops is important. At PIMCO, we actively manage tail-risk hedges in an effort to guard participant assets against the potentially devastating impact of a sudden market loss – that is mitigating the loss of an extreme left tail event such as the market loss in 2008.

 
 
Comparing asset allocation strategies
Comparing one investment default option to another often leads to a simplistic evaluation of performance, either relative to the underlying benchmark (e.g., the composite of index allocations that make up a glide path) or to a peer group of similar strategies (e.g., all 2020 retirement date vintages). Unfortunately, a simple look at either a passive approach or a peer group tells us little of what we truly care about when managing a DC plan default: whether the investments are on track to help participants meet their retirement income needs. However, by focusing on the needed outcome and how much participants contribute to the plan (including the match), we can derive the necessary return to help reach the goal.

Let’s look at an example of a participant at age 65. First, we establish what account balance the participant should have had at age 55 to be on track to meet a 50% income replacement goal at age 65. In this example, about $350,000 should have accumulated in retirement savings at age 55. Given ongoing contributions, we then determine how the account must grow to generate the needed $612,000 account balance by age 65. Then we can compare asset allocations to this needed outcome.

As shown in Figure 6, investing in 10-year Treasury Inflation-Protected Securities (TIPS) would have failed to deliver the needed return based on the participant’s contribution rate. To succeed in reaching one’s income goals by investing in TIPS alone, the savings rate would have to increase. Note that given an increased savings rate, TIPS – Treasury bonds that contractually keep pace with CPI – offer potentially the lowest risk path to reaching one’s sustainable retirement income goals. By comparison, the market average glide path delivered more return than TIPS, but not enough to meet the goal, while the outcome-based glide path exceeded the needed income goal during this time frame.

 
All of these observations relate only to performance, which is just one part of the evaluation. What about the risk? Like other investment performance evaluations, in a DC plan we can look at tracking error – yet not to a peer group or index, rather to a more relevant measure – to the needed return to reach the 50% retirement income replacement objective. Calculating the tracking error of actual returns versus the needed return of 3.89% for the 55-year-old to meet the retirement goal at age 65, we can see that the outcome-based target date has significantly lower tracking error than both the market average glide path and the 10-year TIPS. To go one step further, we may ask whether the participant has been compensated for taking on this added risk, or tracking error, which can be measured by the information ratio (the ratio of excess return to risk). The outcome-based asset allocation has a positive information ratio, whereas both the market average glide path and the 10-year TIPS bond do not.

Conclusion
Evaluation and selection of DC investment default options – whether target-date, target-risk, or managed accounts – should start with a simple question: How much can participants afford to lose and still be able to meet their retirement income goals? The answer can allow the plan sponsor to establish the risk budget based on time to retirement, work to maximize the returns and risk diversification within this budget, and guard against market shocks beyond this risk budget.

Understanding what risk is in a DC plan (failing to meet participants’ income needs at retirement) also allows for benchmarking or evaluating strategies relative to this outcome goal. By setting the needed account growth path based on contributions and the desired account value at retirement, the plan sponsor can estimate how well different strategies may deliver and how much risk they may need to take. In our view, selecting an outcome-based target-date strategy as the investment default option for a plan may be most appropriate for plans that measure success by the percentage of participants likely to meet their income replacement goal. What’s more, once the investment default is selected, we believe evaluating whether it is on track to reach the income objective – that is, looking at tracking error relative to the needed return – is the most relevant and appropriate metric for most DC plans. Just as with teaching fifth graders to read, we want all of them to reach the goal and therefore we want to measure whether they are on track with their reading development. With DC plans, we want all participants to retire with sufficient savings to meet their income needs throughout retirement – thus, we want to know whether the investment default has them on track to meet this goal.
 
Appendix
 
 
Article Disclaimer

Past performance is not a guarantee or a reliable indicator of future results. The glide path is intended to illustrate how allocations among asset classes change as a target date approaches. The target asset allocation is based on a target date, which assumes a normal retirement age of 65, and time horizons based on current longevity of persons reaching retirement in average health. The glide path is designed to reduce risk as the target retirement date nears, but may also provide investors diversification across a variety of asset classes, with an emphasis on asset classes that may protect against inflation over time. The target allocations used in this presentation are for illustrative purposes only. They are based on quantitative and qualitative data relating to long-term market trends, risk metrics, correlation of asset types and actuarial assumptions of life expectancy and retirement.
The PIMCO glide path implements an optimal asset allocation mix that moves from higher risk to lower risk over time and is designed to manage the risk of an individual’s savings as they approach retirement. The glide path acts as a “benchmark portfolio”, reflecting an allocation that is optimal with respect to our long-run, real return assumptions for each asset class (referred to above as “return assumptions”). The PIMCO glide path optimization takes into account the compounding of returns over the given investment horizon, unlike standard mean-variance analysis. PIMCO’s approach to developing a glide path incorporates liability-driven modeling in a “real return” framework, using a broad opportunity set of asset classes seeking to deliver meaningful improvements over traditional approaches. This approach may increase the median return and narrow the range of expected future outcomes when compared to the typical glide path (see chart in appendix), while hedging the risk of future inflation and reducing the risk of a shortfall in future sustainable spending power. More income is likely to distribute near the median.
No representation is being made that any account, product, or strategy will or is likely to achieve profits, losses, or results similar to those shown. Hypothetical or simulated performance results have several inherent limitations. Unlike an actual performance record, simulated results do not represent actual performance and are generally prepared with the benefit of hindsight. There are frequently sharp differences between simulated performance results and the actual results subsequently achieved by any particular account, product, or strategy. In addition, since trades have not actually been executed, simulated results cannot account for the impact of certain market risks such as lack of liquidity. There are numerous other factors related to the markets in general or the implementation of any specific investment strategy, which cannot be fully accounted for in the preparation of simulated results and all of which can adversely affect actual results.
Stress testing is a simulation technique used on a portfolio to determine its reactions to different hypothetical situations. PIMCO employs methodologies which may include market or other assumptions, subjective judgments and valuation models. Such assumptions, judgments and models may reflect PIMCO’s current thinking and may be changed or modified in response to PIMCO’s perception of market conditions, or otherwise.
There is no guarantee that these investment strategies will work under all market conditions or are suitable for all investors and each investor should evaluate their ability to invest long-term, especially during periods of downturn in the market. No representation is being made that any account, product, or strategy will or is likely to achieve profits, losses, or results similar to those shown.
The portfolio analysis is based on the PIMCO glide path and market average glide path constructed by MarketGlide. No representation is being made that the structure of the average portfolio or any account will remain the same or that similar returns will be achieved. Results shown may not be attained and should not be construed as the only possibilities that exist. Different weightings in the asset allocation illustration will produce different results. Actual results will vary and are subject to change with market conditions. There is no guarantee that results will be achieved. No fees or expenses were included in the estimated results and distribution. The scenarios assume a set of assumptions that may, individually or collectively, not develop over time. The analysis reflected in this information is based upon data at time of analysis. Forecasts, estimates, and certain information contained herein are based upon proprietary research and should not be considered as investment advice or a recommendation of any particular security, strategy or investment product.
PIMCO routinely reviews, modifies, and adds risk factors to its proprietary models. Due to the dynamic nature of factors affecting markets, there is no guarantee that simulations will capture all relevant risk factors or that the implementation of any resulting solutions will protect against loss. All investments contain risk and may lose value. Simulated risk analysis contains inherent limitations and is generally prepared with the benefit of hindsight. Realized losses may be larger than predicted by a given model due to additional factors that cannot be accurately forecasted or incorporated into a model based on historical or assumed data.
Value at Risk (VAR) estimates the risk of loss of an investment or portfolio over a given time period under normal market conditions in terms of a specific percentile threshold of loss (i.e., for a given threshold of X%, under the specific modeling assumptions used, the portfolio will incur a loss in excess of the VAR X percent of the time. Different VAR calculation methodologies may be used. VAR models can help understand what future return or loss profiles might be. However, the effectiveness of a VAR calculation is in fact constrained by its limited assumptions (for example, assumptions may involve, among other things, probability distributions, historical return modeling, factor selection, risk factor correlation, simulation methodologies). It is important that investors understand the nature of these limitations when relying upon VAR analyses.
We employed a block bootstrap methodology to calculate volatilities. We start by computing historical factor returns that underlie each asset class proxy from January 1997 through the present date. We then randomly draw a set of 12 monthly returns consisting of four 3-month contiguous blocks, within the dataset to come up with an annual return number. This process is repeated 15,000 times to have a return series with 15,000 annualized returns. The standard deviation of these annual returns is used to model the volatility for each f actor. We then use the same return series for each factor to compute covariance between factors. Finally, volatility of each asset class proxy is calculated as the sum of variances and covariance of factors that underlie that particular proxy.
All investments contain risk and may lose value. Investing in the bond market is subject to certain risks including market, interest-rate, issuer, credit, and inflation risk; investments may be worth more or less than the original cost when redeemed. Investing in foreign denominated and/or domiciled securities may involve heightened risk due to currency fluctuations, and economic and political risks, which may be enhanced in emerging markets. Inflation-linked bonds (ILBs) issued by a government are fixed-income securities whose principal value is periodically adjusted according to the rate of inflation; ILBs decline in value when real interest rates rise. Treasury Inflation-Protected Securities (TIPS) are ILBs issued by the U.S. Government. Commodities contain heightened risk including market, political, regulatory, and natural conditions, and may not be suitable for all investors. Equities may decline in value due to both real and perceived general market, economic, and industry conditions. High-yield, lower-rated, securities involve greater risk than higher-rated securities; portfolios that invest in them may be subject to greater levels of credit and liquidity risk than portfolios that do not. REITs are subject to risk, such as poor performance by the manager, adverse changes to tax laws or failure to qualify for tax-free pass-through of income. Investing in securities of smaller companies tends to be more volatile and less liquid than securities of larger companies. Tail risk hedging may involve entering into financial derivatives that are expected to increase in value during the occurrence of tail events. Investing in a tail event instrument could lose all or a portion of its value even in a period of severe market stress. A tail event is unpredictable; therefore, investments in instruments tied to the occurrence of a tail event are speculative. Derivatives and commodity-linked derivatives may involve certain costs and risks such as liquidity, interest rate, market, credit, management and the risk that a position could not be closed when most advantageous. Commodity-linked derivative instruments may involve additional costs and risks such as changes in commodity index volatility or factors affecting a particular industry or commodity, such as drought, floods, weather, livestock disease, embargoes, tariffs and international economic, political and regulatory developments. Investing in derivatives could lose more than the amount invested.
This material contains the current opinions of the author but not necessarily those of PIMCO and such opinions are subject to change without notice. This material has been distributed for informational purposes only and should not be considered as investment advice or a recommendation of any particular security, strategy or investment product. Statements concerning financial market trends are based on current market conditions, which will fluctuate. Information contained herein has been obtained from sources believed to be reliable, but not guaranteed. No part of this material may be reproduced in any form, or referred to in any other publication, without express written permission. Pacific Investment Management Company LLC, 840 Newport Center Drive, Newport Beach, CA 92660, 800-387-4626. ©2012, PIMCO.

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Stacy Schaus

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Past Insights

March 2013
DC Plan Sponsors: Now’s the Time to Get More From Bonds
November 2012
Designing Outcome-Focused Defined Contribution Plans: Building Sustainable Income for Retirees
October 2012
Thrown in Over Their Heads: Understanding 401(k) Participant Risk Tolerance vs. Risk Capacity

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Ying Gao

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Past Insights

April 2013
Introduction to the PIMCO Target-Date Glide Path: 2012 Update and Review
October 2012
Thrown in Over Their Heads: Understanding 401(k) Participant Risk Tolerance vs. Risk Capacity
November 2011
Target-Date Glide Paths Built for ‘To’ and ‘Through’ Retirement

No part of this material may be reproduced in any form, or referred to in any other publication, without express written permission. Pacific Investment Management Company LLC, 840 Newport Center Drive, Newport Beach, CA 92660, 800-387-4626. ©2013, PIMCO.

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