Chapter 8: Stock-picking vs the index

In 2025, 79% of actively managed US large-cap funds returned less than the S&P 500, the index they are paid to beat. That was the fourth-worst showing in the 25 years the scorecard has existed, and it followed a 2024 in which 65% fell short. The people running those funds are full-time professionals with research staffs and every data feed money can buy.

This chapter takes that scoreboard seriously without turning it into a sermon. Careful, intelligent people own individual stocks, and the back half of this guide is written to help you be one of them. The evidence comes first because it settles something more useful than whether to pick stocks at all: it sets the size of the bet.

The scoreboard

The numbers above come from SPIVA, short for S&P Indices Versus Active, a scorecard S&P Dow Jones has published for 25 years. The method is plain and hard to argue with: take every actively managed fund in a category, compare each one against the unmanaged index covering that same category, and count, including the funds that closed or merged along the way. No star ratings and no opinions, just a tally.

Single years wobble. 2024 was an ordinary rough year for active managers at 65%; 2025, at 79%, was the fourth-worst in the scorecard's history. The verdict that matters comes from stretching the horizon, because the long horizon is the one you actually invest across. Over the 15 years ending in 2024, SPIVA tracked 22 categories of US stock funds: large-cap, mid-cap, small-cap, value, growth, and every blend in between. The number of categories in which a majority of active funds beat their own benchmark was zero, out of all 22, across the full 15 years.

S&P's companion persistence scorecard closes the obvious escape hatch: it follows the funds that do beat their index and checks whether they keep doing it. Mostly they do not; top performers scatter back toward the pack within a few years. If winners stayed winners, you could simply buy last year's list, so picking a winning manager turns out to be the same problem as picking a winning stock, moved up one floor.

Why the pros lose

No villain is required. Three ordinary forces do all the work.

Costs come first. An active fund charges several times what an index fund charges, and it trades far more, which costs more. Every dollar of fee and friction is a head start handed to the benchmark, due every year before the manager's skill gets to say a word.

Competition comes second. Chapter 3 showed that a stock's price already carries the market's pooled expectations, updated within seconds. To beat the index, a manager cannot merely be right about a company. She has to know something true that the price does not yet contain, act before her equally equipped rivals, and then be right a second time when she sells. The person on the other side of her trade is usually another professional running the same screens. The pros do not lose because they are bad at this; they lose because they are each other's opponents, and the index rides along on their collective work for nearly nothing.

The third force is the one beginners almost never hear about: the skew. Chapter 2 told the Bessembinder story, and one reminder will carry it here. From 1926 to 2016, roughly 4% of US companies created all of the market's net wealth above Treasury bills, and most individual stocks returned less than T-bills over their lifetimes. Now sit in the stock-picker's chair. A hand-built portfolio holds a few dozen names out of thousands. If the coming decade's giant winners sit outside those few dozen, the portfolio does not trail by a polite margin; it misses the engine that produces the market's entire return. The index can never miss the winners, because it owns everything before anyone knows which companies they will be. A picker has to find good businesses and also land on the exact needles the haystack's return depends on.

Individuals, measured

A reasonable hope survives: maybe individuals, free of career pressure and client reviews, fare better than the pros. The measured answer is no. In the study the Personal Finance Guide leaned on in its Chapter 13, "Trading Is Hazardous to Your Wealth," professors Brad Barber and Terrance Odean examined thousands of household brokerage accounts and found that the most frequent traders underperformed the market by roughly 6.5 percentage points per year over the period studied. The damage came from the trading itself: costs, taxes, and a persistent talent for selling the stock that went on to do well and buying the one that did not. Every trade felt informed at the time. The accounts kept score anyway.

The honest case for picking

A fair fight requires the other side's best argument, so here it is, made sincerely.

Concentrated knowledge can be real. Spend ten years inside an industry and you may genuinely notice which supplier is quietly winning every contract long before the filings make it obvious. That edge exists, with one catch from Chapter 5 attached: the question is never whether the company is good but whether it is better than the price already assumes, and prices assume a great deal.

Patience is a real edge, and it may be the only durable one an individual has. A fund manager who trails for two years loses clients and then her job, so she cannot truly make ten-year bets. Nobody can fire you from your own account. If you can hold through a 50% drawdown without selling, you hold an advantage that most professionals are structurally denied.

And ownership teaches. Reading a 10-K because your own money is inside the company, the way Chapter 4 showed, will teach you more about how businesses work than most courses. Some people stay calm and keep contributing through crashes precisely because one small corner of their portfolio keeps them interested in the whole machine. If a modest, capped habit of picking keeps you invested for thirty years, it has paid its way.

The honest summary: the edges exist, they are smaller and rarer than they feel from the inside, and every one of them works at small size, which is what the synthesis asks for.

Core-and-explore

The arrangement this library teaches is called core-and-explore. The core is the boring part: broad index funds, the three-fund inheritance from the Personal Finance Guide, holding 90% to 95% of your investable assets and doing all of the heavy compounding. The explore sleeve is the rest, at most 5% to 10% of investable assets, where your convictions live. It is sized by a single test. If every stock in the sleeve went to zero tomorrow, your retirement date, your goals, and your sleep should not move.

Run the test on real numbers. With $60,000 invested, a 10% sleeve is $6,000. The worst case imaginable, a total wipeout of the sleeve, costs the same 10% the whole market sheds in an ordinary rough year. The upside case stays alive at the same time: if one sleeve holding turns out to belong to Chapter 2's winning tail, 10% of your money participates plenty. The Personal Finance Guide's Chapter 13 set this rule down as a promise; the evidence above is the reasoning it was resting on.

Dev's five-year audit

Evidence is easiest to respect when someone runs it on himself. In June 2021, Dev opened an explore sleeve with $9,000, split evenly across three companies he had studied properly, filings and all: a chip-equipment maker from the industry he works near, a payments platform his employer integrates, and a connected-fitness company whose product he loved. His core stayed put in its total-market index fund. In June 2026 he ran the audit, using real statements rather than memory.

The honest reading cuts in both directions. His best pick beat the index by 80 percentage points; he was right about a single company, and that feeling is one of the most addictive substances in investing. His second pick gained a healthy 70% and still lost to the boring fund. His third lost more than half its value while the market rose 80%: the product was excellent and the business was not, the exact distinction Chapter 4 warned about. Add it up and the picks made $5,250 where the index would have made $7,200. Five years of genuine skill, real research, and one big winner, and he finished $1,950 behind a single button.

Where people go wrong

1. Auditing by memory. Memory files wins under skill and losses under bad luck, then quietly deletes the losses. Only a statement-based audit like Dev's tells the truth, and almost nobody runs one.
2. Promoting a hot streak. In 2024, 35% of active large-cap funds beat the index; some always do, and the persistence scorecard says they mostly do not repeat. The same grace applies to your own great year, in both directions.
3. Letting the sleeve creep. Winners grow on their own, and "just a little more" turns 8% into 20% without one deliberate decision ever being made. The cap is policy; check it on a calendar, the way Chapter 13 prescribes.
4. Sizing by confidence. Confidence is a feeling about the company. The cap is a fact about your life. Size every position by consequence, by what a zero would do to your plan, never by how sure you feel today.

Key takeaways

• SPIVA's tally: 79% of active large-cap funds lost to the S&P 500 in 2025, the fourth-worst year in the scorecard's 25-year history, after 65% in 2024. Over the 15 years ending 2024, zero of 22 US equity categories had a majority of active funds beat their benchmark.
• The pros lose for ordinary reasons: costs due every year, competition against each other, and the Bessembinder skew, where missing the 4% of giant winners means missing the market's whole engine. The index owns the winners by construction.
• Individuals measure out worse: the most frequent traders trailed the market by roughly 6.5 percentage points a year in Barber and Odean's study.
• The individual's real edges are patience nobody can fire you for, occasional concentrated knowledge, and ownership as education.
• Core-and-explore: 90% to 95% in broad index funds, an explore sleeve capped at 5% to 10% of investable assets, sized so a total zero changes nothing.

Sources: SPIVA U.S. Scorecard (S&P Dow Jones) · SPIVA U.S. Persistence Scorecard · Bessembinder, "Do Stocks Outperform Treasury Bills?" (SSRN) · Bessembinder research summary (ASU W. P. Carey) · Finvest Personal Finance Guide