Leveraged ETF education

What Is Volatility Decay in Leveraged ETFs?

Volatility decay sounds like a fee quietly eating your return. It is not. I find it much easier to understand once you stop looking at an average return and follow what happens to $100, one day at a time.

Also called volatility drag or beta slippage, volatility decay is the gap that can develop between a leveraged ETF's compounded return and the leverage multiple you might expect from the benchmark's total return. Daily resetting and geometric compounding create that gap. A volatile, sideways market usually makes it negative; a persistent trend can make it positive.

Last updated August 5, 2026

A two-day round trip says almost everything

Start the benchmark, a 2× ETF, and a 3× ETF at $100. On day one, the benchmark rises 10%. On day two, it falls 9.09%—the exact decline needed to move from $110 back to $100. The benchmark finishes flat, but the leveraged ETFs do not.

Two-day volatility decay example for a benchmark, 2x ETF, and 3x ETF
Step	Benchmark	2× ETF	3× ETF
Starting value	$100.00	$100.00	$100.00
Day 1: benchmark +10%	$110.00	$120.00 (+20%)	$130.00 (+30%)
Day 2: benchmark −9.09%	$100.00	$98.18 (−18.18%)	$94.55 (−27.27%)
Two-day return	0.00%	−1.82%	−5.45%

I like this example because there is nowhere for the effect to hide. The benchmark ends exactly where it started. Each leveraged ETF still met its objective on both individual days, yet both lost value over the full round trip. The 3× result is also much worse than the 2× result, so the effect does not scale in a neat straight line.

If you have seen the more familiar +10% / −10% version, there is a small catch: the benchmark does not finish flat. Our blog post explains why that common volatility decay example is incomplete.

The volatility decay formula

A daily return changes the value from the previous day, not from the original $100. That is why multi-day performance is a product rather than a sum.

Benchmark

Vₙ = V₀ × ∏(1 + rₜ)

Leveraged ETF

Lₙ = L₀ × ∏(1 + ℓrₜ)

Here, rₜ is the benchmark's return on day t, and ℓ is the leverage multiple. The simplified formula assumes the ETF hits its daily target perfectly and excludes fees, financing, taxes, and trading costs.

One correction to a common explanation is worth making: simply changing the order of the same daily returns does not change the product. What matters is the collection and size of those daily returns—and that the leverage multiple is applied each day before the results compound. Different daily paths can reach the same benchmark endpoint while producing very different leveraged outcomes.

Try the volatility decay calculator

Choose an upward move and the calculator derives the precise downward move that returns the benchmark to its starting value. Repeating that round trip isolates the compounding effect without mixing in a market trend.

Leverage multiple

Upward benchmark move

Number of round trips

Matching downward benchmark move

-4.76%

This exact decline takes the benchmark back to its starting value after each upward move.

Round-trip performance

Benchmark return

0.00%

$100.00

Leveraged ETF return

-4.66%

$95.34

Compounding gap

-4.66%

Versus 2× the benchmark's total return

Volatility decay is not guaranteed

The word decay makes the result sound inevitable. It is not. If a benchmark gains 5% on two consecutive days, it finishes up 10.25%. A perfect 2× ETF gains 10% each day and finishes up 21%. That is slightly more than twice the benchmark's cumulative return of 20.5%.

Compounding helped because the market moved in a steady direction. This is sometimes called leverage expansion or favorable compounding. Real markets mix trends and reversals, which is why a leveraged ETF's longer-term return depends on the full sequence of daily moves rather than the start and end prices alone.

Volatility decay is not a fee—but fees still matter

No line item called “volatility decay” is deducted from an account. It is a mathematical performance gap. An actual leveraged ETF can have additional drag from its expense ratio, financing and derivatives, transaction costs, and imperfect tracking of the daily target.

Keeping those effects separate makes comparisons more honest. Our simulation methodology explains how we model leverage costs and compare simulated returns with real ETF data.

What this example does—and does not—show

It isolates daily compounding by assuming the fund delivers its target multiple exactly.
It demonstrates a long, positive-leverage ETF; inverse funds introduce additional behavior and risks.
It does not predict how a specific ETF or market will perform.
It does not include fees, financing costs, taxes, spreads, or tracking differences.

Frequently asked questions

Is volatility decay guaranteed?

No. Choppy or sideways returns tend to create a negative compounding gap, while sustained trends can create favorable compounding. Higher volatility makes the range of possible outcomes wider.

Why does a 2× ETF not return exactly twice as much over a month?

The 2× target normally applies to each trading day. The monthly return is the product of those daily leveraged returns, not two times the benchmark's already-compounded monthly return.

Does a 3× ETF have only 50% more decay than a 2× ETF?

No. Compounding is nonlinear. In the two-day example above, the flat benchmark leaves the 2× ETF down 1.82% and the 3× ETF down 5.45% before any fees or tracking differences.

Why does recovering from a loss require a larger gain?

Gains are applied to a smaller base after a loss. A 50% decline from $100 leaves $50, and returning from $50 to $100 requires a 100% gain. Leverage makes these asymmetric percentage moves more severe.

How do I calculate volatility decay?

Compound each leveraged daily return with ∏(1 + ℓrₜ), then compare that result with the leverage multiple times the benchmark's cumulative return. The difference is the compounding gap shown by the calculator on this page.