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The stated multiple and what the holder got

Over the three months to Oct 8, 2026, 485 of 622 leveraged and inverse ETFs finished short of their own stated multiple. The median fund finished -5.3 points from its stated multiple.

These funds deliver the multiple over a single day and reset. Daily results compound, so a run of days is not the multiple times the period's move, and the gap widens with how far the underlying travels rather than with where it ends up. 100 underlyings carry the same stated multiple from more than one issuer. Same mandate, same days, and the spread between the closest and the furthest is in the second table.

Short of the stated multiple, by holding period
One month
456 of 685
Three months
485 of 622
Six months
327 of 440
One year
205 of 326
Three years
67 of 127

485 of 622 leveraged and inverse ETFs finished short of their stated multiple over three months to Oct 8, 2026.

ETFIQ Narrative

Leveraged and inverse ETFs promise a stated multiple of their underlying's move, but only for a single day. Hold one longer and the fund resets its exposure daily, so the results compound rather than simply multiply. Over the three months to October 8, 2026, this showed up clearly: of 622 such funds, 485 finished short of their own stated multiple, with the median fund landing 5.3 points below what the multiple would imply.

The gap is not about which direction the underlying ended up moving. It is about how much ground it covered along the way. The first table shows this pattern across holding periods: at one month, with underlying volatility at a median 38%, the median shortfall was 1.2 points. By three months, with volatility at 47%, the shortfall had widened to 5.3 points. At six months and one year, shortfalls sat near 8.6 to 8.9 points, with volatility still near 35 to 47%. At three years, despite lower median volatility of 20%, the shortfall was 8.7 points, a reminder that even calmer stretches accumulate drift over long enough holding periods.

The third table isolates volatility's role directly, using the three-month window. Funds tracking underlyings with volatility between 0% and 30% showed a median difference of -1.7%, with 115 of 179 funds short of stated. Move up to 30-50% volatility and the median difference deepened to -5.2%, with 126 of 157 short. At 50-80% volatility, the difference was -10.7%, with 144 of 168 short. Among the most volatile group, 80% and above, the median difference reached -16.4%, with 100 of 118 funds short. The pattern is consistent: more turbulence in the underlying means a wider gap between the fund's result and its stated multiple, regardless of where the underlying ultimately settled.

The second table shows that even funds chasing the identical mandate, on the identical underlying, over the identical days, do not land in the same place. Take SMCI +2x: with the underlying up 51.5%, the three funds tracking it ranged from SMCL at -18.3 to SMCC at -24.0, a spread of 5.7 points. MSTR +2x, tracked by four funds against a 61.3% underlying move, spread from MSTC at -9.6 to MSTX at -15.0, a 5.4-point gap. GME +2x, with only two issuers and a 15.2% underlying move, still produced a 6.0-point spread between GMEC at -8.0 and GMEU at -13.9. These differences arise within the same stated mandate and the same market days, pointing to how each fund's own daily mechanics and costs compound differently even when the target is identical.

None of this describes which fund performed better or worse in a way that implies a choice. It describes what holding a daily-reset product for longer than a day has done to the relationship between the stated multiple and the delivered result.

Readers can check any individual fund's current distance from its stated multiple, and the matching underlying's volatility over the same window, on the live desk.

Short of the stated multiple, by the underlying’s volatility
0% to 30%
115 of 179
30% to 50%
126 of 157
50% to 80%
144 of 168
80% and above
100 of 118

485 of 622 leveraged and inverse ETFs finished short of their stated multiple over three months to Oct 8, 2026, grouped by how much the underlying moved.

How far from the stated multiple, by how long it was held

WindowFundsShort of statedMedian differenceMedian distanceMedian underlying volatility
One month685456 of 685−1.2%1.6%38%
Three months622485 of 622−5.3%6.2%47%
Six months440327 of 440−8.9%14.0%47%
One year326205 of 326−8.6%16.5%35%
Three years12767 of 127−8.7%41.0%20%

The same trade from more than one issuer, widest spread first

OnIssuersUnderlying movedClosest to statedFurthestSpread
GME +2x2+15.2%GMEC -8.0GMEU -13.96.0%
SMCI +2x3+51.5%SMCL -18.3SMCC -24.05.7%
MSTR +2x4+61.3%MSTC -9.6MSTX -15.05.4%
ONDS +2x4−10.5%ONDU -12.8ONDL -17.84.9%
XRPR +2x3+24.7%XRPT -16.6XXRP -20.23.6%
IONQ +2x3−11.9%IONC -10.7IONX -14.03.3%
COIN +2x5+8.6%COIX -15.7COIG -19.03.3%
PLTR +2x5+54.0%PLTL +0.4PLTG -2.83.1%
SPCX +2x7+5.5%SPCM -14.9SPCU -18.03.1%
EWZ +2x3+21.8%BRZU -0.5BRZX -3.53.1%
ETHA +2x4+40.8%ETU +1.0ETHT -2.03.1%
RKLB +2x2−17.1%RKX -6.4RKLX -8.82.5%

Erosion against the underlying’s volatility, three months

Underlying volatilityFundsMedian volatilityMedian difference from statedShort of stated
0% to 30%17917%−1.7%115 of 179
30% to 50%15739%−5.2%126 of 157
50% to 80%16869%−10.7%144 of 168
80% and above11893%−16.4%100 of 118
Method

Every number is an ETFIQ calculation from Tiingo end-of-day prices with distributions reinvested, measured against the fund’s own underlying over exactly the same days. The stated multiple comes from the fund’s registered name; the underlying is mapped by hand and checked against the name the exchange gives it. Funds whose underlying has no investable tracker are listed on ETFIQ and excluded here, because there is nothing to measure them against. Rebuilt every trading night.

Data file: leverage.json. ETFIQ is an independent publisher and makes no recommendations. Standards →

Cite this page

ETFIQ Research, The stated multiple and what the holder got, data as of Oct 8, 2026. https://etfiq.com/research/2026-10-08/leverage-label

Open data →

Free to use with attribution for data ETFIQ computes; issuer data stays under its owner's terms. The underlying files are at Open data.