March 2026, In the Loop
The traditional paradigm of “active versus passive” investing is increasingly outdated in the defined contribution (DC) industry. Heightened market volatility, extreme index concentration, and acute fee pressures are driving many DC plan sponsors, advisors, and consultants to reevaluate the role of active and passive styles, both in terms of their return potential and the investment experience they provide to participants.
Consequently, a middle range of investment strategies—combining active management with index exposures or other passive attributes—is gaining traction. When thoughtfully designed and skillfully managed, these strategies can align well with plan sponsors’ goals to improve participant outcomes and deliver value for cost.
Our latest research finds that more than 3 in 5 (62%) U.S. DC plan sponsors agree with the belief that active management adds value (Fig. 2). An even larger share (70%) supports the use of active management to hedge against downside risk due to market volatility.
(Fig. 1) Advantages of strategies that pair active and passive qualities
| Compared with fully passive | Compared with fully active |
|---|---|
| Excess return potential | Lower fees |
| More flexibility to enhance diversification and manage risk | Lower tracking error, or less dispersion versus benchmarks |
Source: T. Rowe Price.
For illustrative purposes only.
Source: T. Rowe Price, 2026 DC Plan Sponsor Retirement Trends.
Q: Please indicate your level of agreement with each of the following statements related to reasons for using active management or passive management. Base: Total answering. Agree = 3–4 NET.
Note: This study was conducted from October 21, 2025, to December 4, 2025. Responses are from 136 DC plan sponsors that have a role in overseeing and/or selecting their organization’s DC plan investment offerings. The chart shows the top three reasons cited for each investing style and does not reflect all statements posed to respondents. See Appendix: Study methodology for more information.
Regarding reasons to use passive management, 81% cite lower tracking error, and nearly the same percentage (80%) say that “limiting cost is the most important consideration.”
Taken together, we believe the data show broad recognition that active management can meaningfully influence retirement outcomes and that cost, while important, should not be the sole consideration in investment selections. This perspective is consistent with the Employee Retirement Income Security Act of 1974, or ERISA, which tasks fiduciaries with evaluating value for cost rather than simply choosing the cheapest investment option.
We find that plan sponsors’ emphasis on low tracking error—generally associated with index investing—is often rooted in a desire to limit overall volatility for participants. However, index investing does not necessarily translate to less volatility or less risk. In today’s narrative‑driven market environment, where factor risks loom large, having some flexibility to enhance diversification and manage risk can be especially valuable in helping participants stay invested and progress toward their retirement goals.
Moreover, even small margins of above‑benchmark returns can significantly improve retirement outcomes due to the compounding effect of reinvestment. Our analysis suggests that an additional 25 basis points in excess return over 40 years of savings could result in an additional two years of retirement spending (Fig. 3). Increasing the excess return to 50 basis points could add five additional years of spending. This is particularly meaningful, as outliving savings is among retirement savers’ greatest concerns.1
The results shown above are hypothetical, do not reflect actual investment results, and are not a guarantee or reliable indicator of future results.
Hypothetical results were developed with the benefit of hindsight and have inherent limitations. Hypothetical results do not reflect actual trading or the effect of material economic and market factors on the decision-making process. Results do not include the impact of fees, expenses, or taxes. Results have been adjusted to reflect the reinvestment of dividend and capital gains. Actual returns may differ significantly from the results shown. The demographic assumptions, returns, and ending balances are shown for illustrative purposes only and are not intended to provide any assurance or promise of actual returns and outcomes.Investing involves risks including price fluctuation and possible loss of principal.
Source: T. Rowe Price.
Investment strategies that seek to combine the benefits of active and passive styles span a wide range of philosophies, objectives, and implementation methods. These differences lead to various levels of active risk and tracking error and a diversity of industry labels—such as blend, enhanced index, and smart alpha.
Regardless of style or label, we believe these strategies must be able to address an inefficiency in the market and provide solutions that passive‑only strategies simply cannot. Below, we highlight examples of strategies that aim to meet these criteria within equity, fixed income, and target date portfolios (Fig. 4).
The significant outperformance of U.S. mega‑cap tech companies has driven strong results for the S&P 500 and other cap‑weighted, broad equity market indexes. However, it has also generated extreme levels of index concentration, making it more difficult for active managers to outperform and raising concerns around the inflexibility of passive‑only strategies.
(Fig. 4) Examples of funds that combine active and passive benefits
| Asset class | Equity | Fixed income | Multi‑asset |
|---|---|---|---|
| Fund(s) | U.S. Equity Research | QM U.S. Bond Index | Retirement Blend series |
| Overview | Isolates analysts’ stock selection skill as the primary driver of alpha by maintaining benchmark‑like risk characteristics | Excess return potential | Lower fees |
| Key considerations versus fully active strategies | + Opportunities for more efficient alpha – Index imbalances may at least partially translate to the portfolio given adherence to index‑like risk characteristics |
+ Low tracking error approach focused on replicating benchmark risk factors more efficiently – Minimal focus on active curve and duration bets, which historically have been low Sharpe ratio1 investments |
+ Smoother performance trajectory relative to benchmark indexes – Less overall flexibility to use security selection as an alpha driver, which may lessen opportunities to take advantage of market dislocations |
Source: T. Rowe Price.
For illustrative purposes only. This is not a recommendation to buy or sell any security, nor is it investment advice of any nature.
1 The Sharpe ratio is a measure of return relative to risk, calculated as an asset’s return above the risk‑free rate, divided by the standard deviation of the asset’s excess return.
While some large‑cap equity portfolios have delivered above‑benchmark returns in this environment, many have lagged net of fees, and the dispersion in outcomes among fully active, higher tracking error strategies has been notably wide (Fig. 5). This has raised the stakes over manager selection, as DC plans value not only excess return potential, but also consistent performance that supports a smoother participant experience and mitigates sequence‑of‑returns risk.
These challenges have opened the door for a middle path—one that controls active risk and offers consistent excess return potential.
Our Structured Research Equity team, for instance, aims to generate alpha across all market environments through a broadly diversified approach that does not rely on sector or factor bets.
December 31, 2015, to December 31, 2025.
Performance quoted represents past performance, which is not a guarantee or a reliable indicator of future results.
Source: eVestment Alliance, LLC. Data analysis by T. Rowe Price. See Additional Disclosure. Index performance is for illustrative purposes only and is not indicative of any specific investment. Investors cannot invest directly in an index. The exhibit comprises U.S. large‑cap equity strategies that had at least USD 250 million in assets under management as of December 31, 2025, and use the S&P 500 Index as their primary benchmark. The eVestment categories that define this universe are Large-Cap, Passive US Equity S&P 500 Index, and Enhanced Large Equity S&P 500. The exhibit omits outlier data points with tracking errors higher than the top range. Here, tracking error measures, in basis points, the volatility in a strategy’s returns relative to its benchmark, the S&P 500. One basis point is 0.01 percentage point. Strategies with higher levels of tracking error have exhibited higher levels of variability in their performance relative to the benchmark; strategies with lower levels of tracking error have exhibited less divergence in performance versus the benchmark. Excess return is the difference between a strategy’s total return and the total return generated by the S&P 500 Index (including gross dividends reinvested). The strategies’ returns shown are net of fees. They reflect the deduction of the highest applicable management fee that would be charged based on the fee schedule, without the benefit of breakpoints.
Unlike equity investing, full index replication in fixed income is virtually impossible given the sheer number of securities held in benchmarks and the liquidity constraints inherent to bonds. Certain issues may not be available to purchase in proportion to their index weight. Others may not trade at all.
Consequently, bond index strategies have some level of tracking error regardless of how they aim to replicate their benchmarks’ performance. New issuance, maturing securities, credit downgrades, and redemptions can also continuously alter the makeup of a fixed income index, potentially increasing tracking error for passive strategies seeking pure index replication (Fig. 6).
As of December 31, 2025.
We define a passive fund as one identified as an “index fund” in the Morningstar Direct database.
Sources: T. Rowe Price and Morningstar. All data analysis by T. Rowe Price. See Additional Disclosure.
1 Tracking error calculations are relative to the prospectus benchmark for each passive fund.
2 As of December 31, 2025. Morningstar’s large blend category had the highest level of passive assets, amounting to about 51% of all passive equity assets. The five biggest large blend index funds by market capitalization made up 72% of passive assets in the category. Morningstar’s intermediate core bond category had the highest level of passive assets, amounting to about 37% of all passive fixed income assets. The five largest intermediate core bond index funds made up 89% of passive assets in the category. © 2026 Morningstar, Inc. All rights reserved.
Past performance is not a guarantee or a reliable indicator of future results.
These and other inefficiencies create opportunities to replicate the risk factors of popular benchmarks, such as the Bloomberg U.S. Aggregate Bond Index, in a yield‑advantaged manner.
While offering a meaningfully different investment experience than an index‑like or single‑asset‑class offering, target date strategies are another area where plan sponsors can combine the benefits of active and passive management.
The architecture of target date solutions makes it operationally straightforward to incorporate or “blend” active and passive building blocks within a single product. While they currently represent only 11% of total target date industry assets,2 blend products exhibit the fastest growth rate among target date categories (Fig. 7).
Within blend target date strategies, providers differ in how and where they use active and passive vehicles along their glide path and among building blocks. Ultimately, how providers balance lower fees from passive exposures against the potential diversification and return enhancement of active allocations reflects different value propositions.
Research from T. Rowe Price’s Multi‑Asset Division suggests that the relative cost effectiveness of passive and active approaches varies meaningfully across market segments and investment styles.
Data as of December 31, 2025, and include target date mutual funds and collective investment trusts.
Source: Sway Research LLC, The State of the Target‑Date Market: Year‑End 2025.
CAGRs = compound annual growth rate.
The inherent efficiency of a market segment is another crucial consideration when assigning active and passive approaches across building blocks.
Given the complexities of successfully implementing a strategy that employs aspects of both active and passive investing, manager selection becomes especially critical. These strategies demand robust portfolio construction processes, precise risk management, and continuous innovation in both research and implementation.
The ability to generate differentiated insights across sectors and asset classes—and translate them into index‑aware portfolios—requires scale, experience, and collaboration among investment professionals. Managers with global research platforms, strong fundamental analysis, and advanced quantitative capabilities are better positioned to balance these demands.
Equally critical, managers must listen closely to the needs and preferences of plan sponsors when it comes to active risk and be able to embrace evolving demands. As our survey data indicate, DC plans and their consultants and advisors vary in their appetite for active exposure by asset class and investment strategy (Fig. 8).
Ultimately, manager selection is about partnering with teams that possess the depth of resources, discipline, experience, and flexibility to add value for plan participants over full market cycles.
We believe that our longstanding investment research strengths, combined with our data‑driven insights into DC plan sponsor and participant priorities, give us a competitive advantage in designing and managing investment solutions that blend the best of active and passive.
Active and passive investment styles are increasingly becoming a “both and” rather than an “either or” decision. Strategies that blend these styles can offer compelling benefits for DC plans and their participants, including the potential for better long‑term outcomes through above‑benchmark returns.
Source: T. Rowe Price, 2025 Defined Contribution Consultant Study (Question 30). TIPS = Treasury inflation protected securities.
Note: Percentages may not equal 100% due to rounding. Percentages reflect responses to the question: “What are your firm’s philosophical views related to active and passive implementation by asset class or investment strategy in DC plans, either within a multi‑asset or stand-alone investment?”
The categories shown above are not exhaustive, as respondents were also asked their views on private asset categories. See Appendix: Study methodology for additional information on the 2025 Defined Contribution Consultant Study.
2025 DC Plan Sponsor Retirement Trends Study: Among the respondents in our 2025 study, 71% reported having more than USD 500 million in plan assets, while the other 29% had less than USD 500 million. Respondents described their company’s structure as a corporation or partnership, union, government organization, nonprofit educational institution, or health care or other nonprofit organization or foundation; were involved in any DC retirement plan(s) that either their organization sponsors or they personally advise on; and had a role in overseeing and/or selecting their organization’s DC plan investment offerings. Among the respondents, 58% described their department as finance/investments, 26% as human resources, and 16% as other. Survey respondents were not aware that the research was sponsored by T. Rowe Price, and they are not necessarily T. Rowe Price clients.
2025 Defined Contribution Consultant Study: This study included 45 questions and was conducted from January 13, 2025, to March 10, 2025. Responses are from 36 consulting and advisor firms with over 136,000 DC plan sponsor clients and nearly $9 trillion in assets under administration.
Jan 2026
From the Field
1 Source: T. Rowe Price, 2024 Exploring Individuals’ Retirement Income Needs and Preferences.
2 Based on T. Rowe Price analysis of data from Sway Research LLC, as of December 31, 2025.
Investment Risks:
Active investing may have higher costs than passive investing and may underperform the broad market or passive peers with similar objectives.
Diversification cannot assure a profit or protect against loss in a declining market.
Fixed-income securities are subject to credit risk, liquidity risk, call risk, and interest-rate risk. As interest rates rise, bond prices generally fall. Investments in high-yield bonds involve greater risk of price volatility, illiquidity, and default than higher-rated debt securities. Investments in bank loans may at times become difficult to value and highly illiquid; they are subject to credit risk such as nonpayment of principal or interest, and risks of bankruptcy and insolvency.
Fundamental approach: There is risk that an active manager may make a wrong call regarding a particular security or sector.
International investments can be riskier than U.S. investments due to the adverse effects of currency exchange rates, differences in market structure and liquidity, as well as specific country, regional, and economic developments. These risks are generally greater for investments in emerging markets.
Passive investing may lag the performance of actively managed peers, as holdings are not reallocated based on changes in market conditions or outlooks on specific securities.
Quantitative models: Relying on quantitative models and the analysis of specific metrics in constructing a portfolio could cause an investor to be unsuccessful in selecting companies for investment or determining the weighting of particular stocks in the portfolio.
Target Date Investing Risks: The principal value of the Retirement Blend target date strategies are not guaranteed at any time, including at or after the target date, which is the approximate year an investor plans to retire (assumed to be age 65) and likely stop making new investments in the portfolios. If an investor plans to retire significantly earlier or later than age 65, the portfolios may not be an appropriate investment even if the investor is retiring on or near the target date. The portfolios’ allocations among a broad range of underlying stock, bond strategies, and derivatives will change over time. The portfolios emphasize potential capital appreciation during the early phases of retirement asset accumulation, balance the need for appreciation with the need for income as retirement approaches, and focus on supporting an income stream over a long‑term post-retirement withdrawal horizon.
These target date strategies are not designed for a lump‑sum redemption at the target date and do not guarantee a particular level of income. They maintain a substantial allocation to equities both prior to and after the target date, which can result in greater volatility over shorter time horizons.
There is no assurance that any investment objective will be achieved.
Financial Terms Definitions:
Active risk is the relative risk incurred by deviating from a benchmark in the pursuit of higher returns.
Alpha is the excess return of an investment relative to its benchmark. Positive alpha means outperformance of an investment relative to its benchmark.
Factors or factor analysis is an investment approach that involves targeting quantifiable firm characteristics or “factors” that can explain differences in stock returns. Over the last 50 years, academic research has identified hundreds of factors that impact stock returns.
Tracking error is the divergence between the price behavior of an investment and an index.
U.S. readers can visit troweprice.com/glossary for definitions of additional financial terms.
CAIA® is a registered certification mark owned and administered by the Chartered Alternative Investment Analyst Association.
Additional Disclosure
Please see vendor indices disclaimers for more information about the sourcing information: www.troweprice.com/marketdata.
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