AdvisorAuditor

AdvisorAuditor

Personal Fee Analysis

1. Portfolio Summary

2. Your Annual Fee Bill

% of portfolio

3. How Your Fees & Returns Compare To Low Cost Index Fund Alternatives

4. Your Holdings Breakdown

5. Low-Cost Alternatives

6. You Have Options — Here Are Some Resources

7. The Research: Why Active Management Rarely Wins

92%

of actively managed large-cap U.S. funds failed to beat the S&P 500 over 20 years

Source: S&P SPIVA U.S. Scorecard, Year-End 2023

The fee you pay your advisor and the funds in your portfolio are not a neutral cost of doing business. They are a direct reduction in your wealth — and decades of independent research, peer-reviewed academic studies, and the most comprehensive performance databases ever assembled reach the same conclusion: active management rarely beats a simple low-cost index fund, and the gap grows wider the longer you hold.

This is not an opinion. It is arithmetic. Nobel Prize–winning economist William Sharpe proved in 1991 that before costs, the average actively managed dollar must equal the return of the average passively managed dollar — because together they hold the entire market. After costs, which active management generates more of, the average active manager must underperform. Every dollar of outperformance for a winning active fund must come at the expense of some other investor.1

How Active Funds Perform Over Time

Percentage of U.S. large-cap active equity funds that underperformed the S&P 500 — including funds that were merged or liquidated due to poor performance.

Time Period % Underperforming S&P 500 % Beating the Index
1 Year ~60% ~40%
3 Years ~79% ~21%
5 Years ~78% ~22%
10 Years ~87% ~13%
15 Years ~88% ~12%
20 Years ~92% ~8%

Source: S&P SPIVA U.S. Scorecard, Year-End 2023.2 Includes survivorship bias adjustment — approximately 58% of domestic equity funds were merged or liquidated over the 20-year period. Standard industry practice of measuring only surviving funds dramatically flatters active management performance.

Past Winners Don't Stay Winners

Even if an active fund beats the market one year, the evidence that it will do so again is nearly nonexistent. S&P's Persistence Scorecard found that of funds in the top performance quartile, only 3.5–4.8% remained in the top quartile two consecutive years later — consistent with random chance. Fewer than 1% maintained top-quartile status over five consecutive years.3

Professor Mark Carhart's landmark 1997 study of 1,892 mutual funds confirmed this finding: "The results do not support the existence of skilled or informed mutual fund portfolio managers." He found that what little persistence existed was almost entirely explained by persistently high costs — not skill.4

Morningstar: Fees Are the Best Predictor of Performance

Morningstar's Active/Passive Barometer, published semi-annually since 2015, measures active fund success rates against passive peers — adjusting for survivorship bias. Their findings are striking:

  • Over 20 years, fewer than 23% of all active funds survived and outperformed their passive equivalent.5
  • In the U.S. large-blend category — the core of most portfolios — only about 11% of active funds outperformed passive peers over 20 years.
  • The expense ratio is the single best predictor of future fund performance — better than star ratings, manager tenure, or past returns. The cheapest funds beat the most expensive funds across nearly every time period and category.6

Source: Morningstar Active/Passive Barometer, Mid-Year 2023.

Luck, Not Skill: What the Academic Evidence Says

In a landmark 2010 study, Nobel laureate Eugene Fama and Kenneth French examined 3,156 mutual funds from 1984–2006. Their conclusion was unambiguous: the aggregate portfolio of active mutual funds roughly matched the market before costs. After costs, funds delivered an average negative alpha of −0.81% per year. Using statistical bootstrap simulations to separate luck from skill, they found "the few funds that appear to have outperformed could not be distinguished from luck."7

Fama and French's findings confirm Sharpe's arithmetic proof from a different angle: not only must active management underperform in aggregate — when you look for evidence of individual skill, it simply isn't there.

The Behavior Gap: Investors Underperform Even the Funds They Own

Even setting aside fund performance, DALBAR's Quantitative Analysis of Investor Behavior — published annually since 1994 — shows that real investors systematically underperform the funds they own, because they buy after markets rise and sell after markets fall.

9.65%
S&P 500 avg. annual return
30-year period ending 2022
6.81%
Average equity fund
investor return (same period)
−2.84%
Annual behavior gap
(panic selling / chasing returns)

Source: DALBAR QAIB 2023.8 On a $100,000 investment, a 2.84% annual gap compounding over 30 years represents approximately $550,000 in lost wealth.

What a Good Advisor Can Actually Do

To be fair: Vanguard's research identifies approximately 3% per year in potential advisor value — but almost none of it comes from picking better investments. It comes from behavioral coaching, tax efficiency, rebalancing, and retirement income planning.9

Source of Advisor Value Potential Annual Benefit
Behavioral coaching (preventing panic selling)~1.50%
Spending/withdrawal strategy~0–1.10%
Asset location & tax efficiency~0–0.75%
Cost-effective fund implementation~0.45%
Rebalancing~0.35%
Total potential~3.00%

An advisor charging 1% AUM and using actively managed funds (adding another 0.50–1.00% in fund expenses) faces a 2%+ annual hurdle before adding any net value to the client.

Bibliography

  1. [1] Sharpe, W. F. (1991). The arithmetic of active management. Financial Analysts Journal, 47(1), 7–9. https://web.stanford.edu/~wfsharpe/art/active/active.htm
  2. [2] S&P Dow Jones Indices. (2024). SPIVA U.S. Scorecard: Year-End 2023. S&P Global. https://www.spglobal.com/spdji/en/spiva/article/spiva-us/
  3. [3] S&P Dow Jones Indices. (2024). Persistence Scorecard: Year-End 2023. S&P Global. https://www.spglobal.com/spdji/en/spiva/article/persistence-scorecard/
  4. [4] Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57–82. https://doi.org/10.1111/j.1540-6261.1997.tb03808.x
  5. [5] Ptak, J., & Kinnel, R. (2023, August). Morningstar Active/Passive Barometer: Mid-Year 2023. Morningstar, Inc. https://www.morningstar.com/lp/active-passive-barometer
  6. [6] Kinnel, R. (2010, August). How expense ratios and star ratings predict success. Morningstar FundInvestor. Morningstar, Inc.
  7. [7] Fama, E. F., & French, K. R. (2010). Luck versus skill in the cross-section of mutual fund returns. Journal of Finance, 65(5), 1915–1947. https://doi.org/10.1111/j.1540-6261.2010.01598.x
  8. [8] DALBAR, Inc. (2023). Quantitative Analysis of Investor Behavior 2023. DALBAR, Inc. https://www.dalbar.com/QAIB/Index
  9. [9] Bennyhoff, D. G., & Kinniry, F. M., Jr. (2019, February). Vanguard Advisor's Alpha. Vanguard Research. https://institutional.vanguard.com/insights/article/advisorsalpha
  10. [10] Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. Journal of Finance, 55(2), 773–806. https://doi.org/10.1111/0022-1082.00226
  11. [11] French, K. R. (2008). The cost of active investing. Journal of Finance, 63(4), 1537–1573. https://doi.org/10.1111/j.1540-6261.2008.01368.x
  12. [12] Malkiel, B. G. (1995). Returns from investing in equity mutual funds 1971 to 1991. Journal of Finance, 50(2), 549–572.
  13. [13] Jensen, M. C. (1968). The performance of mutual funds in the period 1945–1964. Journal of Finance, 23(2), 389–416.
  14. [14] Blanchett, D., & Kaplan, P. (2013). Alpha, beta, and now… gamma. Journal of Retirement, 1(2), 29–45. https://www.morningstar.com/content/dam/marketing/shared/pdfs/Research/GammaFactor.pdf
  15. [15] Vanguard Investment Strategy Group. (2019, April). The case for index-fund investing. Vanguard Research.

All cited SPIVA data points should be verified against the current S&P SPIVA scorecard, which is updated semi-annually. Performance percentages shift modestly year to year; the directional conclusions have remained consistent for over two decades.