2× ETF vs Loan vs Margin

Three ways to hold 2× the index — a daily-reset 2× ETF, a personal loan invested as a lump sum, or a broker margin buy. See how their cost, volatility decay and forced-liquidation risk pull the outcomes apart.

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.
%

Capital & horizon

Holding period
yrs
Fund costs
Personal loan rateThe annual interest on a personal loan or mortgage top-up you use to buy 2× in one shot and hold. The lender has no claim on the position, so there's no margin call — but you pay this rate on the full borrowed amount, up and down.
%
Margin rateThe broker's annual financing rate on a margin buy. Usually higher than a personal loan — and the position is collateral, so a deep drop can trigger forced liquidation.
%
Maintenance ratioThe margin maintenance threshold (position value ÷ debt). If your ratio falls below it, the broker force-liquidates the position. Taiwan brokers typically use 130%. A personal loan has no such trigger.
%
ETF financing rateThe annual rate the leveraged ETF pays to finance its borrowed exposure — near short-term institutional rates, often cheaper than retail borrowing. Charged on the fund's borrowed portion.
%
Expense ratioThe 2× ETF's annual fee, charged on the whole leveraged position (typically 0.9–1.0%). Neither the loan nor margin has this fee.
%

Final outcome

Strategy
1× index
2× ETF
Loan
Margin
Median final
394K
726K
652K
594K
Median CAGR
14.7%
21.9%
20.6%
19.5%
Max drawdownMedian worst peak-to-trough fall across the simulated paths. It is measured on your equity (position − debt), not the index. Because the debt stays fixed while the position shrinks, 2× leverage roughly doubles the fall vs the 1× index — the same market drop lands on a smaller equity base. Margin can also lock the loss in at liquidation.
−25.3%
−49.1%
−37.8%
−41.2%
Volatility
16.0%
32.1%
26.1%
26.5%
Below-principal rateShare of paths whose final value ended below the starting capital. Every strategy can do this — even the 1× index can finish below principal.
0.6%
3.0%
1.2%
8.2%
Wreck rateShare of paths forced out by liquidation. Only broker margin qualifies — it's force-liquidated the instant its maintenance ratio is breached, locking the loss. The 1× index, 2× ETF and the held loan are never forced out (the loan rides drawdowns out and waits for the rebound).
7.6%

The "1× index" column is the plain unleveraged index — your baseline. "2× ETF" holds a daily-reset 2× fund, which resets its leverage every day (that's where volatility decay comes from). "Loan" borrows a personal loan to buy 2× as a lump sum and holds — no rebalancing, no margin call, and its leverage dilutes toward 1× as the market rises. "Margin" buys 2× on broker margin, which is force-liquidated if the maintenance ratio is breached.

Median growth by strategy

100K1.0Myears held →1× index2× ETFLoanMarginlog scale
To hold 2× SPY — S&P 500, a 2× ETF returns 21.9% median CAGR, a held personal loan 20.6%, and a broker margin buy 19.5%. The ETF resets its leverage daily, so it keeps a full 2× in a trend but bleeds to volatility decay in choppy markets, on top of fund fees. The loan and margin buy a fixed position instead — no decay, but their leverage dilutes toward 1× as the market rises, and they pay borrowing interest, margin the most.
The real split is the crash. A personal loan can’t be margin-called, so it rides a drawdown out and recovers. Broker margin is force-liquidated the moment your maintenance ratio breaches 130%, locking the loss in 7.6% of paths.

Median of 500 daily Monte Carlo paths per strategy, all driven by the same simulated index. Models returns, borrowing costs and a single maintenance-ratio liquidation rule only — not intraday margin calls, top-ups, taxes or borrowing limits.

Support the creator

Did this tool help you? ☕

This is a free side project I built in my spare time. If it saved you time or helped you think through a decision, buying me a coffee keeps the lights on!

Buy me a coffee

2× ETF vs loan vs margin — frequently asked

What's the difference between a 2× ETF, a loan, and margin?
All three give you roughly 2× the index's daily move, but the machinery differs. A 2× ETF is a fund that resets to 2× leverage every day, charging an expense ratio and its own financing. A personal loan lets you buy 2× of the index as a lump sum and hold it — the debt is yours, fixed, and can't force a sale. Broker margin also buys 2×, but the broker holds your shares as collateral and can force-liquidate you if losses breach the maintenance ratio.
Why does the loan survive crashes that wipe out margin?
Because a personal loan isn't secured by the position. When the index drops 35%, a 2× margin buy's maintenance ratio breaches 130% and the broker sells you out at the bottom — a forced liquidation — locking the loss so you can't recover. The same drop leaves a personal-loan holder underwater on paper but still holding; if the market recovers, so do they. That ride-through is the loan's edge.
Isn't the loan just strictly better than margin, then?
Not free. You usually need collateral or income to get a personal loan at a decent rate, and the money is committed whether or not the trade works. Margin is faster to open and needs no separate loan, but you're trading survival for that convenience and paying a higher rate.
What is volatility decay, and does the loan or margin suffer it?
Daily resetting to a fixed 2× forces you to buy after up days and sell after down days, bleeding value in choppy, sideways markets — that's volatility decay, and the 2× ETF suffers it fully. A lump-sum loan or margin buy that you never rebalance does NOT reset daily: its leverage drifts (falling after gains, rising after losses), so it avoids decay but takes on drift risk instead.
What maintenance ratio and rates should I use?
Defaults reflect Taiwan retail: 130% maintenance, ~6.5% margin financing, ~3% personal loan, plus the ETF's ~1% expense and ~4% financing. Your broker's maintenance threshold and margin rate are on your statement; a personal or mortgage-backed loan is usually cheaper than margin. Set them to your real numbers — the wreck rate is very sensitive to the maintenance ratio.
Which should I actually use for 2× exposure?
If you want set-and-forget 2× with no margin-call risk, a 2× ETF keeps leverage pinned at the cost of decay, and a personal loan avoids decay but demands you service the debt through drawdowns. Broker margin is the cheapest to start and the most dangerous — a single deep drop can force you out at the worst time. None are 'safe' at 2×: size the position so a 50% index fall doesn't end you.

References

Built by indigo.la.ringo · AppicLab ·

More small utilities from AppicLab

There are three common ways to run 2× exposure to an index, and they behave very differently in a crash. A daily-reset 2× ETF pins your leverage at exactly 2× every day, charging an expense ratio and financing and bleeding value to volatility decay in choppy markets. A personal loan lets you buy 2× as a single lump sum and hold: the debt is fixed and yours, so no one can force you to sell — you ride drawdowns out. A broker margin buy also gets you to 2×, but the shares are collateral, so once your maintenance ratio breaches the threshold (130% for many Taiwan brokers) you're force-liquidated at the bottom, locking the loss. This calculator runs all three on the same daily Monte Carlo index path — set the index's return and volatility, your loan and margin rates, the maintenance ratio and the ETF's costs — and lays them side by side on median wealth, CAGR, drawdown, volatility and the share of paths that end in ruin.

indigo.la.ringo

About the Author

indigo.la.ringo

A software engineer chasing the slash-career dream. Was trying to figure out my relationship with the world — now being forced to figure out my relationship with AI. Lately, obsessed with figuring out the relationship between people and money. Either way, whatever answer I land on, it's fine.