Why the S&P 500 Is Probably the Wrong Benchmark for Your Portfolio
Beating the index can mean you took more risk. Lagging it can mean your portfolio did its job. The fair test is a benchmark built from the same kinds of assets you own.
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Why 95% of Investors Can’t Beat the S&P 500 (and What Actually Helps)
Charlie Munger put the odds at roughly 95% against. The data on professionals and individuals points the same way. The reasons are structural, and most of them can be fixed.
Key takeaways
- Munger estimated that about 95% of people have almost no chance of beating the index over time.
- Professionals struggle too: around 9 in 10 active large-cap funds trailed the S&P 500 over 15 years to 2024 (SPIVA).
- Individuals lose most to behavior: in 2024 the average equity fund investor earned 16.5% while the S&P 500 returned 25.0% (DALBAR).
- The causes are structural: costs, concentration, bad timing, deep drawdowns and measuring against the wrong yardstick.
- The fixes are unglamorous: an index core, knowing your real risk, sizing positions for the crash you can live with, and fewer emotional trades.
- A market regime signal tackles the costliest mistake directly: being fully invested in the worst stretches, and out of the market in the best.
In this article
- Where the 95% comes from
- What the data says
- Reason 1: Costs compound against you
- Reason 2: We buy late and sell early
- Reason 3: Few stocks win, and portfolios are more concentrated than they look
- Reason 4: Deep drawdowns are hard to sit through
- Reason 5: Asking only “what should I buy?”
- It’s hard because we are humans
- What a market regime signal changes
- What actually helps
- The rest of the system
Where the 95% comes from
At the 2017 Daily Journal annual meeting, Charlie Munger said that roughly 95% of people have almost no chance of beating the index over time. It was an estimate, not a statistic. But every serious dataset on the question points in the same direction, for professionals and for individuals alike.
What the data says
| Study | Who | Finding |
|---|---|---|
| SPIVA U.S. Year-End 2024 (S&P Dow Jones Indices) | Active large-cap US funds | 65% trailed the S&P 500 over 1 year; about 89.5% over 15 years |
| DALBAR QAIB 2025 | Average equity fund investor, 2024 | 16.54% return vs 25.02% for the S&P 500, a gap of 8.5 points |
| DALBAR QAIB 2025 | Average equity fund investor, 20 years to 2024 | 9.24% a year vs 10.35% for the S&P 500 |
| Bessembinder (2018), Journal of Financial Economics | Individual US stocks, 1926–2016 | Most stocks underperformed one-month Treasury bills over their lifetimes; about 4% of companies accounted for all net wealth creation |
Two things stand out. First, even full-time professionals with research teams mostly fail to keep up with the index once costs are counted. Second, individual investors usually lag the very funds they own, because of when they buy and sell. The gap varies from year to year (DALBAR’s 2026 report put the 2025 gap at just 0.7 points), but over two decades it compounds into a large difference.
Reason 1: Costs compound against you
The index has no research budget, no trading desk and no advisory fee. Every active approach starts the race behind by its costs: fund fees, advisory fees, trading costs and taxes on short-term gains. A 1% annual drag sounds small; over 20 years it takes roughly a fifth of the ending value of an otherwise identical portfolio.
Reason 2: We buy late and sell early
The biggest gap is behavioral. Money flows into stocks after they have risen and out after they have fallen. DALBAR found that equity fund investors withdrew money in every quarter of 2024, with the largest outflows just before a major rally. Missing a handful of the strongest days is enough to fall well behind, and the strongest days tend to cluster near the worst ones, exactly when fear is highest.
Reason 3: Few stocks win, and portfolios are more concentrated than they look
Bessembinder’s research shows that a small minority of stocks produces nearly all of the market’s long-run gains. The index owns all of them by design. A hand-picked portfolio of 10 or 15 names will usually miss most of the rare big winners, and its holdings often move together far more than their tickers suggest: several tech names plus a Nasdaq fund are, in practice, one bet.
Reason 4: Deep drawdowns are hard to sit through
Losses and gains are not symmetric. The deeper the fall, the more you need just to get back to even:
| Loss | Gain needed to break even |
|---|---|
| −10% | +11.1% |
| −25% (S&P 500, Jan–Oct 2022) | +33.3% |
| −34% (S&P 500, Feb–Mar 2020, in 23 trading days) | +51.5% |
| −50% | +100% |
A concentrated portfolio usually falls further than the index. The real damage comes from what happens next: many investors sell near the bottom and miss the recovery, turning a temporary loss into a permanent one.
Reason 5: Asking only “what should I buy?”
Most investing tools answer one question: is this a good stock? But results depend just as much on how a new position fits what you already own, how much risk the whole portfolio carries, and whether the market backdrop favors taking risk at all. Even great companies can lose half their value in a hostile market; Nvidia, one of the best-performing stocks of the decade, fell by roughly two-thirds from its late-2021 peak to its 2022 low.
It’s hard because we are humans
Beating the market isn’t hard because you lack information. The market doesn’t beat most people with bad data. It distracts them with noise, FOMO and fear. If any of these sound familiar, you are in good company:
Every newsletter says something different. The more I read, the less I know what to do.
One score replaces fifty open tabs.
Your weekend stays yours.
By the time everyone was talking about the rally, I bought in. That was the top.
The signal turns Risk ON before the headlines do.
I sold in the drop just to stop the bleeding, and then missed the entire recovery.
You exit on data, not fear — and the signal tells you when to come back.
I've been holding cash, waiting for the right moment. It's been two years.
There's always a clear answer: in, or out.
No more waiting for a feeling.
What a market regime signal changes
Most of the gap between investors and the index comes from timing: holding everything through the worst stretches, then selling near the bottom and missing the recovery. A market regime signal is built to answer that one question with data instead of feelings: is this a time to carry risk, or to protect capital?
Exent’s Market Intelligence reads the market through four pillars, liquidity, credit stress, the economic cycle and sentiment, and fuses them into one 0–100 regime score with a clear Risk ON or Risk OFF call. You keep owning the same index; the signal tells you when to hold it and when to step aside. Here is how that played out in the backtest:
S&P 500 with Exent Regime$100,000+0.0%
S&P 500 buy & hold$100,000+0.0%
Year by year returns
Ahead of the S&P 500 in 8 of 8 years in the backtest, including both years the index fell. Worst year: +3.3% in 2018, when the S&P 500 did −12.5%.
−10.3%Worst drop with Exent Regimevs −34.1% for S&P 500 buy & hold
~82.0%Risk ON / Risk OFF call accuracy61 episodes since 2018
2.39Sharpe ratiovs 0.50 for the S&P 500
What actually helps
| Problem | What helps |
|---|---|
| Costs | Hold a low-cost index fund as the core of the portfolio |
| Behavior | Decide your rules in advance; size positions so you are not forced to sell in a crash |
| Concentration | Measure overlap and correlation; treat a cluster of similar holdings as one position |
| Drawdowns | Stress-test the portfolio against past crashes before adding risk |
| Wrong yardstick | Compare yourself with a risk-matched benchmark: the index funds that match your holdings, weighted like your portfolio |
| Noise | Follow analysts with proven records, not the loudest opinions; watch the market regime, not the headlines |
- Beating the index is not the only goal: matching it with less risk, or with a plan you can stick to, is a win too.
- If your active picks have not beaten the passive version of the same bets over several years, shrink them and grow the index core.
The rest of the system
The regime signal handles when to take risk. Two more Exent tools cover the other mistakes on this list: Portfolio Analysis shows your concentration, hidden overlap, crash exposure and how you compare with a benchmark matched to your risk, and Stocks Radar ranks analysts by how their past calls played out. None of it promises to beat the market; it helps you avoid the mistakes that make most investors fall behind it.
Frequently asked questions
The 95% figure is Charlie Munger’s estimate, not a measured statistic. The data supports the direction: around 9 in 10 active large-cap funds trailed the S&P 500 over 15 years to 2024, and the average fund investor has trailed the index over 20 years.
Mainly costs and concentration. The index has almost no costs and owns every eventual big winner; active funds pay for research and trading, and typically hold a narrower set of stocks.
For many investors a low-cost index fund is a strong core holding. If you also pick stocks, measure whether those picks add return for the risk they add, and keep them sized so a bad year does not derail your plan. This is general education, not personal advice.
A model that classifies the market backdrop, for example Risk ON or Risk OFF, from data such as liquidity, credit conditions, the economic cycle and sentiment. It tells you when conditions favor carrying risk, rather than which stock to buy.
Some investors do over some periods, but few do so consistently after costs, and past outperformance does not reliably predict future results. Reducing avoidable mistakes is more dependable than trying to outguess the market.
Know when to hold the index, and when to step aside.
Market Intelligence reads the market regime and tells you whether the backdrop favors taking risk or protecting capital.
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Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.