Every retirement plan advisor has seen the pattern. An actively managed fund rises to the top of the rankings. Performance attracts attention. Assets follow. Confidence builds.
Then performance fades.
This is not an anomaly. It is the expected outcome.
Decades of research—beginning with Mark Carhart in 1997—have reached a consistent conclusion: past performance does not reliably predict future outperformance.
Yet portfolios are still built as though it does.
What the Data Actually Shows
The evidence is clear. According to the S&P Dow Jones Indices SPIVA Persistence Scorecard, only about 18%–22% of top-quartile funds over a 5-year period remain top quartile over the next 5 years—worse than random chance.
Additional findings reinforce the same conclusion:
• Only 35%–45% of active managers outperform in a given year
• Roughly 20% outperform over 10 years
• Less than 10% outperform over 15 years
Selecting funds based on past performance is not a strategy. It is a gamble with no persistent edge.
The Real Problem: Structure, Not Skill
Active management assumes outperformance reflects skill.
In reality, “hot fund” results are typically the result of a fortuitous combination of manager bias and market environment. Performance was driven by exposure to conditions that happened to work—factor tilts, sector concentration, or timing aligned with a specific market environment. When those conditions change, performance changes.
What appears to be skill is often exposure that is no longer rewarded.
For fiduciaries managing long-term capital, this creates a structural mismatch: short-term, unstable drivers of performance versus long-term compounding objectives.
The problem is not informational. It is structural.
When 15% Saved = 25% Gained
Most portfolios spend more time recovering losses than compounding gains.
The math behind this is simple:
Starting Point: $100
Traditional Outcome
• Drawdown: -30%
• Portfolio Value: $70
• Recovery Required: +43%
Reduced Loss Outcome
• Drawdown: -15%
• Portfolio Value: $85
• Recovery Required: +18%
The Difference:
Reducing the loss by 15 percentage points reduces the required recovery by 25 percentage points.
That’s not incremental. That’s structural.
What This Means
• Stock selection adds return linearly
• Drawdowns destroy wealth non-linearly
• Reducing losses creates a permanent compounding advantage
Less loss = less recovery required = higher long-term returns
This is why improving outcomes does not require better predictions—only better protection.
From Prediction to Mathematics
This reframes the entire problem. Not how to identify outperforming managers—a skill that decades of research show is not persistent—but how to apply the one advantage that is: mathematics.
One approach, often referred to as Risk Replacement, is built on a simple principle:
Reduced Loss = Increased Returns
Traditional active management depends on being right. A structurally designed approach depends on something far more reliable—the mathematical asymmetry between loss and recovery.
What This Means for Advisors
This is where fiduciary responsibility becomes very real. If:
• Past performance does not predict future results
• Manager outperformance lacks persistence
• Drawdowns materially damage long-term outcomes
Then continuing to build portfolios based primarily on past rankings raises an unavoidable question:
Is the process aligned with maximizing risk-adjusted returns—or simply aligned with industry convention?
That is not a theoretical distinction. It goes directly to fiduciary responsibility.
What Advisors Should Do Next
A more effective framework prioritizes structural drivers of outcomes:
• Reduce reliance on past rankings
• Evaluate dependence on specific market environments
• Focus on downside behavior and drawdowns
• Prioritize the asymmetry of compounding
Losses and gains are not symmetric. Avoiding large drawdowns has a disproportionate impact—and a direct, measurable benefit—on long-term wealth.
The Bottom Line
Most “top-performing” funds succeed because their positioning aligns with a particular environment. That alignment is temporary. When it changes, so do the results. For advisors, the implication is clear:
Outcomes should not depend on selecting the next outperformer. They should be driven by a more reliable edge—the mathematics of loss, recovery, and compounding.
SEE ALSO:
• When Glide Paths Fail: Rethinking Downside Protection in Target Date Funds