Active Funds Fail to Beat the S&P 500: 2026 WSJ Data

Active Funds Fail to Beat the S&P 500: What the 2026 WSJ Data Means for LATAM Investors

Nearly 75% of actively managed funds failed to beat the S&P 500 over the past 12 months, according to Wall Street Journal data that Kalshi's finance account shared on September 23, 2026. Put simply, three out of four professional stock pickers charged a fee and delivered less than a low-cost index fund.

This hits LATAM hard. Retail investors in Argentina, Mexico, Colombia, Chile and Brazil often reach US equities through bank-distributed active funds or feeder products. Those products charge management fees in dollars, frequently 1% to 2% a year, on top of FX and custody costs. The data also arrives as retail capital moves toward instruments with explicit probabilities: Kalshi and Polymarket already list markets on where the S&P 500 will close, on Fed decisions and on a US recession. In those markets the price is the probability, and there is no management fee.

What happened and why it matters: active funds fail to beat the S&P 500

The facts:

The headline figure: Close to 75% of actively managed funds underperformed the S&P 500 over the trailing 12 months, per WSJ data. Kalshi's finance account posted the figure, and it went viral in the prediction-market community with more than 10,000 likes.
The market backdrop: The S&P 500 closed at 7,650.50 on Friday, September 18, 2026. On September 21 and 22 it finished within 0.4% of its all-time high. The Nasdaq set a record close of 27,122 on September 21 and another record the next session.
The macro setup: On September 16 the Federal Reserve raised rates for the first time in three years. Markets rallied anyway. On September 17 the S&P 500 gained 1.15%, the Nasdaq 1.7%, and the VIX fell 12.4%. Over the same week the Dow lost 1.7%, its worst week since March, and closed at 51,682.64.
Narrow leadership: About half of S&P 500 components were trading below their 200-day moving average, while the index itself sat roughly 6% above its own. In one of the strongest sessions in about two months, 30 index members hit new 52-week lows and only 7 hit new highs.

Interpretation: Narrow breadth is a big part of why active managers are losing. The index is cap-weighted, so a handful of AI and semiconductor giants (Micron, Nvidia, AMD, Intel all posted strong sessions this month) drive most of its return. A manager who underweights those names for the sake of diversification or valuation discipline mechanically lags. This is not a one-year fluke. Over 20-year horizons, only a small fraction of active funds beat the S&P 500 consistently. The pattern also varies by benchmark: many active funds did beat the MSCI World and the Euro Stoxx 50, but few beat the Big Tech-heavy S&P 500.

What prediction markets are saying

Kalshi and Polymarket list contracts on S&P 500 closing ranges, Fed rate decisions and a 2026 US recession. Polymarket also launched perpetual futures this week, which let traders take leveraged positions on assets like the S&P 500, BTC or Nvidia directly, not just on event outcomes.

We do not have verified live quotes at the time of writing, so the figures below are estimated from the market context:

S&P 500 new record close before September 30: estimated 60%–65%. The index is only 0.4% below its high, which makes a record plausible but not certain after a Fed hike.
Another Fed hike at the next FOMC meeting: estimated 25%–35%. Treasury yields and oil have eased since the September hike, which lowers the pressure to follow up quickly.
US recession declared or confirmed in 2026: estimated 15%–20%, given record index levels and a falling VIX.

The key difference: these markets reprice every minute, while fund factsheets and quarterly letters report performance weeks after the fact.

Scenarios and probabilities

Base scenario (estimated 55%): Mega-cap tech keeps carrying the index and breadth stays narrow. The S&P 500 grinds to new highs in Q4 2026, and the share of active funds lagging over 12 months stays at 65%–80%.
Bull scenario for active managers (estimated 25%): The rally broadens to small caps, equal-weight stocks and value sectors. Active funds that underweight Big Tech narrow the gap, and the underperformance share drops toward 50%–60%.
Bear scenario (estimated 20%): Tighter Fed policy and a rebound in oil trigger a sharp correction concentrated in AI and semiconductor leaders. Defensive active funds could briefly outperform on the way down, but historically that edge rarely survives the recovery.

Impact on prediction markets

The WSJ figure supports a simple idea: consensus aggregated through prices is hard to beat. Prediction markets apply the same logic to events. When a Kalshi contract on the S&P 500 closing above a given level trades at 62 cents, the market is pricing roughly a 62% probability, and anyone can see that number in real time. A fund manager's view shows up in a quarterly report, if it shows up at all.

For LATAM investors, the fee math is easy to check. Take $10,000 compounding for 20 years:

At an 8% gross return with a 0.05% index-fund fee, it grows to about $46,000.
At the same gross return minus a 1.5% active fee (6.5% net), it grows to about $35,200.

That is a gap of more than $10,000, paid in hard currency for a product that, three times out of four, did worse than the index.

Interpretation risks:

Prediction-market prices are probabilities, not guarantees. A 62% contract loses 38% of the time.
Thin liquidity on longer-dated contracts can distort prices.
Leveraged perps on Polymarket add liquidation risk that index investors do not face.

Use these markets as a consensus benchmark and a hedging tool, not as a replacement for a long-term, low-cost core portfolio.

Risks and what would invalidate this thesis

Breadth reversal: A sustained rotation out of mega-cap tech, with equal-weight indices beating the cap-weighted S&P 500 for several quarters, would give active stock pickers a real opening.
Methodology caveats: The 12-month window is short. Results change with fund category, survivorship bias and whether returns are measured gross or net of fees. Different studies can produce different percentages.
Local frictions in LATAM: Capital controls, FX restrictions, taxes on foreign assets and limited broker access can make a direct index ETF harder or more expensive to hold than the headline fee suggests. Prediction-market access also depends on each country's rules and platform eligibility.

FAQ

What percentage of active funds failed to beat the S&P 500 in 2026? According to WSJ data shared by Kalshi on September 23, 2026, nearly 75% of actively managed funds underperformed the S&P 500 over the previous 12 months.

Why is it so hard for active funds to beat the S&P 500 right now? Gains are concentrated in a few large AI and semiconductor stocks. About half of index members are below their 200-day moving average while the index is about 6% above its own, so any fund that underweights the leaders tends to lag.

How do prediction markets relate to the active vs. passive debate? Platforms like Kalshi, Polymarket and Predik turn crowd consensus into a live price: a contract at 60 cents implies roughly a 60% probability. You get a transparent, real-time benchmark without paying a management fee, although trading still carries risk of loss.

Sources

Track markets like this in real time on Predik.

Active Funds Fail to Beat the S&P 500: Nearly 75% Lagged the Index in 12 Months, and What It Means for LATAM Investors and Prediction Markets