Investor Behavior Gap Statistics (2026)

The behavior gap (or investor return gap) is the difference between the return a fund earns and the return its investors actually earn. Funds report a time-weighted return that assumes you buy and hold. Investors, in reality, add and pull money at different times, often buying after gains and selling after losses.

Morningstar measures this by comparing each fund's published total return to its dollar-weighted return, which accounts for the timing of every dollar in and out. The gap between the two is the cost of behavior, and it is remarkably consistent.

Across more than 25,000 US funds and ETFs over the decade ended December 2024, the average dollar earned 7.0% a year while the funds themselves returned 8.2%. That 1.2-percentage-point annual gap equals roughly 15% of the total return the funds delivered.

It sounds small, but compounded over an investing lifetime it is enormous. On a $100,000 portfolio over 30 years, a 1.2-point drag is the difference of hundreds of thousands of dollars.

This is not a one-off. Morningstar's rolling 10-year gaps have hovered between 1.1 and 1.7 points a year for every period this decade (see the chart below).

The consistency is the point: across bull markets, the 2020 crash, and the 2022 bear, investors as a group reliably gave back a slice of their funds' returns to mistimed trades.

The gap widens the more specialized and volatile the fund. Broad allocation funds, the balanced, one-stop kind, had almost no gap at -0.1 points, while narrow sector-equity funds had the widest at -1.5 points (see the table below).

The lesson: the funds people trade around the most, chasing hot sectors and themes, are exactly where timing hurts the most. Simple, diversified funds are easier to hold through turbulence.

Sorting funds by how much their investors traded, Morningstar found a clean gradient: the least-traded funds had a -0.8-point gap and an 8.2% investor return, while the most-traded had a -1.8-point gap and just 4.7% (see the chart and table below).

This echoes the most famous study in the field. Barber and Odean tracked 66,465 households and found the most active traders earned 11.4% a year versus the market's 17.9%, while the calmest earned 18.5%. Their conclusion: overconfidence drives overtrading, and overtrading destroys returns.

Beyond trading, a fund's own volatility predicts the gap. The least-volatile quintile of funds had a -0.4-point gap; the most-volatile had -2.0 points, with investor returns of 3.4% versus 9.6% for the calmest.

The most-volatile quintile of alternative funds had an eye-watering -11.0-point gap, meaning investors captured almost none of the return. Volatility invites the emotional trading that creates the gap.

The clearest illustration of timing risk: staying fully invested in the S&P 500 returned 9.8% a year over 2004-2023, but missing just the 10 best days cut that to 5.6%, less than half. Missing the 20 best days slashed it by more than 70% (see the chart below).

And the best days cluster near the worst: 7 of the 10 best days fell within two weeks of the 10 worst. Investors who sell in a panic to avoid the bad days routinely miss the rebound, which is precisely how the behavior gap is created.

DALBAR's Quantitative Analysis of Investor Behavior, running since 1985, is the longest-standing measure of the gap. Its 2024 reading was one of the widest ever: the average equity investor made 16.54% while the S&P 500 returned 25.05%, an 848-basis-point shortfall (see the table below).

The gap then collapsed to just 72 bps in 2025, its third-smallest since 1985, as a choppier market gave less room for bad timing. Fixed-income investors fared worse: in 2025 they earned 2.41% versus the bond index's 7.30%, a 4.89-point gap.

Stretched over decades, DALBAR's figures are stark, though the exact numbers vary by edition and are drawn from secondary carriers of the paywalled report (see the table below). The most defensible long-run point: over the 30 years to 2021, the average equity-fund investor earned 7.1% a year versus the S&P 500's 10.7%.

Whatever the precise figure, the direction is unambiguous and matches Morningstar's cleaner methodology: individual investors, in aggregate, capture meaningfully less than the funds they hold.

The 2000 paper "Trading Is Hazardous to Your Wealth" remains the foundational study. Across 66,465 discount-brokerage households from 1991-1996, the average household earned 16.4% net versus 18.7% gross, with transaction costs erasing about 2.3 points a year.

Turnover told the story: the average household turned over 75% of its portfolio a year, the most active more than 250%. The authors tied high trading directly to overconfidence, a finding that has held up across markets and decades even as commissions fell to zero.

The gap is built in the crises. Morningstar estimates investors pulled roughly $500 billion as markets fell in early 2020, then missed part of the rebound, producing a -2% single-year gap.

The pattern repeats: money flows the wrong way. Morningstar found $2.1 trillion moved in quarters when performance turned against investors, versus $1.5 trillion moving the right way. DALBAR similarly found equity-fund withdrawals in every quarter of 2024, the largest just before a major surge.

Somewhat, but less than you might expect. ETFs, which are easy to trade intraday, had a wider gap (-1.7 points) than open-end funds (-1.2), consistent with more trading (see the table below). Active funds (-1.5) had a slightly wider gap than index funds (-1.3).

The standout: US-equity index funds had a 0.0% gap, meaning investors captured essentially all the return. Cheap, broad, boring funds are the easiest to hold, and holding is what closes the gap.

The fixes are behavioral, not analytical. Automate contributions so you buy in every market. Diversify broadly so no single position tempts you to trade. Rebalance on a schedule rather than a hunch. And write down a plan you can hold to when markets fall.

Advice helps too. Vanguard's Advisor's Alpha framework attributes up to 200 basis points a year, the largest single component of an advisor's roughly 3% of added value, to behavioral coaching alone: keeping clients invested when instinct says sell (see the table below).

The gap is real but contested at the margins. DALBAR's method, comparing dollar-weighted fund flows to a buy-and-hold S&P 500, has been academically criticized for overstating the effect; Morningstar's same-fund, dollar-weighted-versus-time-weighted approach is more defensible.

A 2024 academic paper (Fulkerson, Jordan, Riley, and Yan) even argues bad timing does not cost investors 15% of their returns once methodology is tightened. The honest read: the gap exists, it is meaningful, but the precise size depends on how you measure it. Every figure here is labeled with its source and method.