Active vs Passive Management: What Each One Is Actually Paid to Do

54% of large-cap active U.S. equity funds underperformed the S&P 500 in the year to June 2025. Zero percent of the large-cap funds that sat in the top quartile in December 2022 were still there two years later. Both numbers are real, and neither settles the active-versus-passive argument on its own — which is exactly what a candidate who reaches for a verdict instead of a mechanism gets caught on.

The honest answer is that these are different jobs, sold to different clients, solving different problems, and most large managers in this vertical run both under one roof.

An index fund manager is not someone who bought the S&P 500 once and went home; running one well is an execution and operations discipline, tracking an index through every reconstitution and managing cash drag. An active manager is paid for something completely different, a view, defended, sized and held long enough to be tested against a market that is mostly efficient and occasionally is not.

Neither side is the easy one, and neither side is obviously wrong to work on. What follows is what each is paid for, where the honest arithmetic against active management comes from, where it genuinely does not apply, and why the interview at a firm built around one of these jobs looks nothing like the interview at a firm built around the other.

0%

top-quartile persistence

large-cap funds, 2022 to 2024

$114.7bn

traded on NYSE in one day

Russell reconstitution, 27 June 2025

86%

of municipal bond assets

actively managed, per Morningstar

What indexing is paid to do

Say passive is easy in an interview and the conversation is effectively over, because it is not, and the people running the desk know exactly how it is not. An index fund's promise is narrow and exacting: deliver the index's return, not a version of it, at the lowest possible cost, indefinitely. Meeting that promise is a full-time operational job with real failure modes.

• Matching the index's exact holdings and weights through every reconstitution, without materially moving the market while doing it
• Deciding, security by security, whether to lend a holding out for a fee or hold it outright
• Holding enough cash for redemptions and dividend timing without letting that cash drag the fund below the index's own return
• Choosing full replication or representative sampling, especially in a bond index too large and illiquid to hold in full

Reconstitution day is a trading problem, not a shrug

Twice a year now, FTSE Russell rebuilds the membership of its US indexes, additions, deletions and reweightings that every fund tracking that index has to match by the close of the same day. Roughly $12.2 trillion in assets was benchmarked to the Russell US Indexes as of 30 June 2025, and on that June's reconstitution day, $102.5 billion traded on Nasdaq and $114.7 billion traded on NYSE, both records.

The index provider does not move a single share; the funds tracking it do, on a date the entire market already knows in advance, which is precisely the kind of trade that is hardest to execute without moving the price against yourself. Until 2026 that happened once a year, every June; FTSE Russell has since moved to a semi-annual schedule, adding a second reconstitution each December.

Securities lending, cash drag and the sampling call

A fund can lend out the securities it holds to borrowers who need them, usually to cover a short sale or a hedge, and pocket a fee for doing it. State Street's own data on its SPDR range shows how much that fee can matter even between two funds tracking the identical index: one comparison found its S&P 500 fund earning an annualized 1.7 basis points gross from lending, against 0.1 basis points for a similarly sized, competing fund.

By December 2024, roughly $40.5 trillion of securities sat available to lend globally, with $2.5 trillion actually out on loan.

None of that shows up as skill, and none of it is nothing. A fund that manages lending revenue, minimizes cash drag and samples a bond index intelligently instead of chasing every illiquid line item will show a smaller tracking difference than one that does not, the actual cumulative return gap between a fund and its index over a period, a different number from tracking error, which measures how much that gap moves around rather than how large it is.

The honest arithmetic against active management

The case against active management does not start with a scorecard. It starts with an equation, and it was stated cleanly by William Sharpe in a page-long note in the Financial Analysts' Journal in 1991, one of the shortest, most cited papers in the field.

Before costs, it is zero-sum by definition

Every dollar in the market is either invested passively, tracking the market-cap-weighted average, or actively, chasing something different from it. The market's own return is just the weighted average of both groups, so the average actively managed dollar has to earn exactly the market's return, before costs, same as the average passively managed dollar. Half of active money beats the market and half lags it, before a single fee is charged.

After costs, SPIVA shows the same thing every year

Add costs back in and the arithmetic tips: active management costs more to run than passive management, so the average active dollar must underperform the average passive dollar after fees, for the same structural reason. S&P Dow Jones Indices has measured exactly that gap twice a year since 2002 through its SPIVA scorecards, and the pattern does not move much.

54% of large-cap active U.S. equity funds underperformed the S&P 500 in the twelve months to 30 June 2025, an improvement on 65% for full-year 2024.

The mid-cap and small-cap numbers over the same window were sharply better still, and international equity ran close to large-cap. Fixed income was the weakest area measured: an average of 68% underperformance across the sixteen fixed-income categories the scorecard tracks, with majority outperformance in only three of them.

Fixed income (16-category average)

68%

International (ex-US) equity

55%

Large-cap U.S. equity

54%

Mid-cap U.S. equity

25%

Small-cap U.S. equity

22%

S&P Dow Jones Indices, SPIVA U.S. Scorecard, Mid-Year 2025. The fixed-income figure averages all 16 categories the scorecard tracks; individual bond categories range from majority outperformance to 90% underperformance.

That spread is the article's point in miniature. Active underperforms on average, and not evenly, and where it is least true is worth knowing before generalizing to the whole industry. The most recent full-year scorecard, covering all of 2025, put large-cap underperformance at 79%, a materially worse year than 2024 and the fourth-worst in the scorecard's 25-year history, which is a reminder that a single year's number moves around even while the underlying arithmetic does not.

What the scorecards show

A single year's scorecard answers one question: did active or passive win this round. It says nothing about whether the winners could have been picked in advance, which is the question that matters to anyone choosing a fund rather than grading the industry after the fact.

Whether the same funds keep winning

S&P runs a separate Persistence Scorecard for exactly this, and its most recent edition contains the most useful correction in this whole subject.

The pattern holds outside large-cap too. Only 6% of top-quartile small-cap funds from 2022 repeated, down from 10% the year before, and across every category S&P tracks, only 8.3% of funds that beat their benchmark in 2022 kept beating it over the following two years. Over five straight years starting December 2019, top-half persistence ran from 0.8% of mid-cap funds to 5.3% of multi-cap funds, better than nothing and nowhere close to reliable.

Fixed income held up somewhat better: 17% of top-quartile Investment Grade Intermediate funds and 12% of top-quartile High Yield funds from 2022 stayed on top for the next two years.

What a scorecard can and cannot tell you

The two scorecards are asking different questions, and conflating them is the single most common way this subject gets oversimplified.

SPIVA's numbers are more trustworthy than a lot of industry comparisons for a specific reason: they correct for survivorship bias. A study that only looks at funds still open today silently drops every fund that closed or merged after underperforming, which flatters the survivors left behind. SPIVA tracks every fund that existed at the start of each period, closed or not, and reports both equal-weighted and asset-weighted results.

That correction is not the last word, either. A 2026 study by academics at Notre Dame, Dayton and Arkansas, funded by the Investment Adviser Association's own Active Managers Council, argues SPIVA still understates active performance: it counts any fund that exits mid-period as an underperformer for the whole window regardless of its actual return before exit, and compares funds against a hypothetical index rather than what a real passive fund actually returned.

Correcting for that, the same 20-year period SPIVA reports as 92% active underperformance becomes 55%, and a fixed-income figure SPIVA puts at 71% becomes 37%. The study is funded by an active-management trade group, worth knowing alongside the mechanics of the critique itself.

What it cannot tell you is which of today's open funds will turn out to be one of the rare ones that keeps winning. That is exactly what the persistence data above measures, and the honest answer is that the odds are worse than picking blind in most categories. A candidate who can state both numbers, the scorecard's headline and the persistence data underneath it, is answering a more complete question than one who only knows the first.

Where active genuinely earns its fee

None of this means active management has no case. It means the case has to be made in the right places, and the same scorecards that make active look weak in large-cap U.S. equity make a real case for it elsewhere.

Less efficient markets, thinner coverage

J.P. Morgan Asset Management's own research states the argument plainly: active managers have performed well in less efficient equity asset classes, such as small cap and emerging markets, where wider dispersion between the best and worst performers gives a skilled manager more room to add value than a crowded, closely covered large-cap index does. That is J.P. Morgan's own case for its own business, worth stating as such, but it lines up with what the scorecards actually show.

Small-cap active funds underperformed the S&P SmallCap 600 only 22% of the time in the twelve months to 30 June 2025, better again than the 30% recorded for all of 2024, which S&P itself describes as the lowest annual underperformance rate across more than two decades of its scorecards. That is not marginal. That is a market where stock-picking has repeatedly paid for itself.

The fixed-income exceptions

The pattern across all of these is the one J.P. Morgan names: markets that are harder to index well, thinner trading, a benchmark that can overweight the most indebted issuer rather than the most creditworthy one, are markets where an active manager doing real research has somewhere to put that research to work. A benchmark built for a highly efficient market like large-cap U.S. equity leaves much less of that gap to close.

The middle ground is most of the real market

Neither buy the index nor back a stock-picker describes what most institutional money does. Between the two sits a spectrum, and the dial that sets where a fund lands on it is tracking error, covered in full in tracking error versus VaR. A pure index fund runs a tracking error close to zero on purpose; a high-conviction active fund runs one deliberately high. Almost everything else sits somewhere in between.

Enhanced indexing keeps a portfolio close to its benchmark while allowing small, rules-based tilts. Factor and smart-beta strategies systematically overweight characteristics like value, quality or low volatility rather than picking individual names by hand. Both are real, sizeable businesses now, not a footnote: smart-beta and factor-based ETFs had already reached $1.56 trillion in global assets by February 2024.

Actively managed ETFs of every kind, a related but distinct trend that packages a manager's own view inside the ETF wrapper, reached a record $1.86 trillion globally by the end of November 2025.

The fee story underneath all of it

Fee compression is the reason this spectrum exists at all, and it is covered at length in funds, mandates and structures. The short version: passive's cost advantage pulled money away from expensive, closet-indexing active funds for two decades, and managers responded by building cheaper, more differentiated products across the whole spectrum rather than defending only the two extremes. A candidate who can connect why enhanced indexing exists to why fees compressed is answering the question behind the question.

Same firm, two different businesses

The clearest way to see that this is not a rivalry is to look inside one balance sheet. Most large managers in this vertical run a passive business and an active one side by side, often reporting to the same executive committee, because they are selling to different clients who want different things from the same firm.

The index business

• Sold on cost and precision, not conviction
• Paid for tracking a benchmark exactly, not beating it
• Margin comes from scale and volume, not skill alone
• The team is trading, operations and risk, not research calls

The active business

• Sold on a defensible view, held for years
• Paid for the gap above or below the benchmark
• Margin comes from skill and capacity, not assets alone
• The team is research, portfolio construction and client conviction

Vanguard is the clearest case of a firm built almost entirely around the left-hand column, and even Vanguard runs more than half a trillion dollars in actively managed bond funds alongside its index business, so index-only is a mistake going into that interview too. Baillie Gifford sits almost entirely in the right-hand column, an unlimited-liability partnership built to hold a high-conviction stake for years past the point most managers would sell.

Why the interview question is really about the job

An interviewer asking active or passive is rarely asking for an opinion. They are finding out whether a candidate understands that the two sit on different desks, with different skills, different clients and a different definition of a good year, and whether the candidate has thought about which one they are applying to.

What a junior does on each side

The two jobs described above translate into different daily work, and naming that difference unprompted is a stronger signal than reciting the theory.

On the index and operations side

• Index and portfolio operations. Reconciling holdings against the benchmark after every reconstitution, sizing trades to minimize market impact, and monitoring tracking difference daily.
• Securities lending and cash management. Deciding which positions to lend, watching collateral, and minimizing cash drag against a fully invested benchmark.
• ETF capital markets. Working the authorized-participant relationship for an ETF range and watching how closely the fund's market price tracks its index through the trading day.

On the active and research side

• Research. Building and defending a thesis on a name or a sector, updating it as facts change, and presenting it to a portfolio manager who decides whether to act on it.
• Portfolio construction. Sizing a position against conviction, liquidity and the mandate's own limits, and explaining what it costs the fund in tracking error if the view is wrong.
• Client and consultant reporting. Explaining, in writing, why last quarter's active bet paid off or did not, the job performance attribution exists to make rigorous.

Reading the room: which room are you in

The calibration changes completely depending on which firm is on the other side of the table, and conflating the two is one of the fastest ways to prepare for the wrong interview. A firm built mainly around tracking benchmarks precisely and cheaply, like Vanguard, tests precision: tracking error, trading cost, the mechanics of keeping a fund matched to an index that keeps changing.

A firm built around holding high-conviction stakes for years, like Baillie Gifford, tests something closer to conviction under pressure: a thesis, defended, with a horizon measured in years rather than quarters.

How to answer without picking a side

1. Name the actual performance gap with a real number, not passive tends to win.
2. Explain why, mechanically, the fee gap and the zero-sum arithmetic behind it, not just index funds are cheaper.
3. Name where active has a genuine case, with an actual category, not a vague exception.
4. Say what you would actually want to work on, and why your own skills point there. The question is about fit, not a debate to be won.

The mistakes that give the wrong prep away

• Calling passive doing nothing. It is an execution and operations discipline with its own failure modes, and saying otherwise in front of an index desk ends the conversation.
• Treating a single scorecard as the whole answer. One year's result shows who won that round; the persistence data shows whether the result was ever predictable in advance, and a strong answer uses both.
• Naming a performance number with no sense of when it is from. Fee levels and category success rates have moved for two decades and keep moving; a number with no timeframe attached is a guess dressed up as a fact.
• Picking a side instead of naming the job. The question tests understanding of two different businesses, not allegiance to one of them.

Not an easy answer, not a lazy one

Passive is not the easy answer and active is not the lazy one. An index fund is a precision operations business paid to deliver a benchmark's return at the lowest possible cost, through every reconstitution, every dividend and every illiquid corner of whatever it tracks. An active fund is paid to hold a view long enough, and defend it well enough, to earn back a fee that a passive alternative simply does not charge.

The honest arithmetic favors passive on average, most clearly in the most efficient, most heavily researched markets. It favors active, sometimes decisively, in the markets that are neither. Most firms worth interviewing at run both businesses at once, for exactly that reason, and the candidate who can explain why, rather than declare a winner, is the one who sounds like they already work there.