Can SSO replace SPY as a long-term holding?

They're different things: SPY gives you the index; SSO gives you a path-dependent 2× of each day, plus ~0.9% costs and embedded financing. Expected value is higher if the market trends up, at more than double the drawdown — sizing a blend beats an either/or.

Same underlying, different dose: 2× carries 44% of 3×'s decay, and its drawdowns need far smaller rallies to recover. Unless you have a genuine tactical thesis, the long-term-holding conversation usually stops at 2×. The SPXL page runs the same simulation for comparison.

Do interest rates matter for SSO?

A lot. A leveraged ETF's embedded financing cost tracks short-term rates, so a rate-hike regime acts like an extra expense layer. That's exactly what the borrow-rate input models — push it up 2% and watch the 10-year outcome move.

Is SSO viable for long-term dollar-cost averaging?

Of all leveraged ETFs, SSO is the one most seriously discussed for long-term DCA — the low-volatility underlying keeps decay manageable. Before committing, rerun the simulation with a conservative 8–10% expected return, and fix both a cap on its portfolio share and a rebalancing rule.

Does pairing SSO with bonds or cash make sense?

Yes — the well-known leveraged portfolios pair leveraged equity with bonds to damp drawdowns (though 2022's joint stock-bond selloff proved the correlation isn't guaranteed). The simplest version is SSO + cash: 50/50 is roughly 1× exposure, but with a built-in buy-low-sell-high rebalancing mechanism.

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SSO: Simulating a Long-Term Hold of 2× S&P 500

If leveraged long-term holding has a textbook case, it's 2× the S&P 500: a low-volatility, long-uptrending index where decay stays comparatively tame — the well-known leveraged buy-and-hold strategies are built around this trade. This page runs SSO's actual parameters.

Leveraged ETF Calculator

Compare how much of a leveraged ETF to hold versus its plain 1× index — five splits from all-leverage to all-index, rebalanced monthly, quarterly or yearly. See CAGR, drawdown and risk-adjusted return, volatility decay included.

Underlying index

Index

Expected return (CAGR)The 1× index's compound annual growth rate. The leveraged fund is built from this — you don't enter it directly.

VolatilityHow wildly the index's returns swing year to year. This is the engine of volatility decay: the higher it is, the more a 2×/3× fund bleeds in choppy markets.

Leverage & rebalancing

Leverage factorThe leverage of the risky fund, used in both the all-in hold and the blend. Real products offer 2× or 3×.

Rebalancing frequencyHow often each split is traded back to its target weights. Higher frequency tracks the target exposure more tightly and “buys low, sells high” more often, but in practice also means more trading costs and taxes (not modelled here).

The tool compares five fixed splits — 100/0, 75/25, 50/50, 25/75, 0/100 — of this leveraged fund and its plain 1× index, all rebalanced yearly.

Capital & horizon

Starting capital

Holding period

yrs

Fund costs

Expense ratioThe fund's annual fee, charged on the whole position. Leveraged ETFs typically run 0.9–1.0%, far above a plain index fund's ~0.05%.

Financing rateThe annual interest a leveraged fund pays to borrow its extra exposure. Charged on the borrowed (L−1)× portion, so it hits 3× harder than 2× and never touches 1×. Tracks short-term rates.

Strategy comparison

fund / 1×

100/0

2.0×

75/25

1.8×

50/50

1.5×

25/75

1.3×

0/100

1.0×

Median ending value

663K

595K

527K

458K

394K

CAGR

20.8%

19.5%

18.1%

16.4%

14.7%

Volatility

32.1%

28.1%

24.2%

20.1%

16.0%

Max drawdownMedian worst peak-to-trough fall along the simulated paths, at daily resolution. This is the loss you'd have to sit through — leverage multiplies it, rebalancing into cash trims it.

−49.7%

−44.2%

−38.4%

−32.1%

−25.3%

SharpeReturn per unit of volatility (CAGR ÷ volatility, risk-free rate 0). A rebalanced blend often scores higher than all-in leverage, because it sheds risk faster than return.

0.65

0.69

0.75

0.82

0.92

CalmarReturn per unit of max drawdown (CAGR ÷ max drawdown). A drawdown-based cousin of Sharpe — how much growth you earn for the worst fall you endure.

0.42

0.44

0.47

0.51

0.58

Unlucky (P10)

178K

187K

194K

199K

204K

Lucky (P90)

2.6M

2.0M

1.5M

1.1M

777K

Each column is a split between the 2× fund and its plain 1× index (leveraged % / index %), rebalanced yearly. Effective exposure = leveraged share × 2 + index share × 1 (shown under each split); 0/100 is the plain 1× index.

Median growth by strategy

Over 10 years, going 100% into the 2× SPY — S&P 500 fund reaches a median 663K; a 50/50 split with the 1× index reaches 527K, and the plain 1× index 394K — every column rebalanced yearly.

The cost of leverage is drawdown: 100/0 typically falls 49.7% peak-to-trough, versus 38.4% for the 50/50 split.

Based on 500 simulated paths with daily-reset leverage. A simplified lognormal model, not a forecast: real markets have fatter tails, jumps, and shifting volatility, all of which hit leverage harder. Treat as rough odds, not promises.

What this ticker works out to

Under the prefilled assumptions, going 100% SSO for 10 years lands at a median value of about 663K (≈20.8% annualised) — with a median max drawdown of −49.7% along the way. A 50/50 blend with the plain 1× index comes to about 527K with the drawdown cut to −38.4%; skipping leverage entirely (pure 1× index) gives about 394K at −25.3%.

Monte Carlo simulation seeded with the underlying index's 10-year CAGR and estimated volatility. That decade was a strong bull run — shave a few points off the return and look again.

How to read this result

Decay ∝ leverage² × volatility². The S&P 500 runs ~16% annual volatility, a notch below the Nasdaq, so at the same 2× SSO decays visibly less than QLD — *what* you lever matters as much as *how much*. Low-volatility underlyings are the ones that can carry leverage long term. When you compare columns, remember SSO's median advantage rests on the S&P trending up. Swap the prefilled 14.7% (last decade) for a long-run 8–10% and the edge shrinks but usually survives — that resilience is what separates it from higher-vol underlyings.

Good fit: running broad-market exposure at ~1.3–1.7× over a long horizon with disciplined rebalancing; also a common building block in leveraged stock/bond mixes.

Watch out: SSO fell roughly 80% in 2008 and nearly halved in 2022. Tame decay is not tame drawdown — deep drawdowns come from the index itself falling for weeks, and no leverage factor escapes that.

Common questions

Can SSO replace SPY as a long-term holding?: They're different things: SPY gives you the index; SSO gives you a path-dependent 2× of each day, plus ~0.9% costs and embedded financing. Expected value is higher if the market trends up, at more than double the drawdown — sizing a blend beats an either/or.
SSO or SPXL/UPRO?: Same underlying, different dose: 2× carries 44% of 3×'s decay, and its drawdowns need far smaller rallies to recover. Unless you have a genuine tactical thesis, the long-term-holding conversation usually stops at 2×. The SPXL page runs the same simulation for comparison.
Do interest rates matter for SSO?: A lot. A leveraged ETF's embedded financing cost tracks short-term rates, so a rate-hike regime acts like an extra expense layer. That's exactly what the borrow-rate input models — push it up 2% and watch the 10-year outcome move.
Is SSO viable for long-term dollar-cost averaging?: Of all leveraged ETFs, SSO is the one most seriously discussed for long-term DCA — the low-volatility underlying keeps decay manageable. Before committing, rerun the simulation with a conservative 8–10% expected return, and fix both a cap on its portfolio share and a rebalancing rule.
Does pairing SSO with bonds or cash make sense?: Yes — the well-known leveraged portfolios pair leveraged equity with bonds to damp drawdowns (though 2022's joint stock-bond selloff proved the correlation isn't guaranteed). The simplest version is SSO + cash: 50/50 is roughly 1× exposure, but with a built-in buy-low-sell-high rebalancing mechanism.

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How much of a leveraged ETF should you hold versus the plain index? Compare 100/0, 75/25, 50/50, 25/75 and 0/100 splits of a 2×/3× fund and its 1× index — all rebalanced yearly — on CAGR, max drawdown, Sharpe and Calmar.

Built by indigo.la.ringo · AppicLab · Last updated: June 28, 2026