How to Hedge Your Stock Portfolio Against a Crash

You hedge by adding something that tends to rise, or fall less, when your stocks fall, and you pay for it with lower returns in good years. There are five broad families. Each has a different cost and a different failure mode.

The right choice depends on what you are protecting against: a sudden crash, a slow bear market, inflation, rising rates or one oversized position. The sections below take each in turn, with data.

Replay your current holdings through past crashes before choosing a hedge. You cannot size protection until you know how much you would lose, in dollars, and which holdings drive the loss. Crashes hit individual stocks harder than the index:

Source: Exent’s crash replay, large US stocks with price history for each episode, as of Sep 30, 2026. Sector mattered: in the 2007–09 crisis the median financial stock fell 76%, while the median consumer-defensive stock fell 42.3%.

Two numbers matter most: the dollar loss in a crash replay and your maximum drawdown. Losses compound against you, because a 50% fall needs a 100% gain to recover; see loss recovery math and recovery time. To see which holdings drive the loss, look at crash liability: each holding’s share of the portfolio’s loss in its worst 5% of months.

Short-term Treasury bills, gold and Treasury bonds had the lowest correlation with the S&P 500, but only T-bills avoided a loss in both of the last two crashes. Most equity “alternatives” moved almost in step with the index.

Source: Exent’s data, monthly total returns from mid-2016 to Sep 30, 2026. A stress month is one in which the S&P 500 fell more than 4%; there were 16. COVID crash = February–March 2020 at month-ends; 2022 = calendar year.

Correlation is measured over all months, and the averages hide regime shifts. Bonds cushioned the 2020 crash because it was a growth scare; they deepened the 2022 loss because that bear market was driven by inflation and rising rates. Commodities did the opposite. A hedge that works for one kind of crisis can fail in the next.

A put option gives the right to sell at a set price, so it sets a floor under a position until it expires; the price of that floor is the premium. Options are the most precise hedge and usually the most expensive one to keep running.

• Protective put: own the shares, buy a put below today’s price. Losses below the strike are offset. See how protective puts work.
• Collar: buy a put and sell a call to pay for it. The floor is cheaper, but gains above the call strike are given up. See collar strategy.
• Put spread: buy one put and sell a lower one. Cheaper, but protection stops at the lower strike. See put spread.

Premiums rise when implied volatility is high, which is usually when people want protection most. Rolling puts year after year is a recurring drag on returns; see how much it costs to hedge with puts.

To size an index hedge, start from your portfolio’s beta. Illustrative: a $200,000 portfolio with a beta of 1.2 behaves roughly like $240,000 of S&P 500 exposure, so a hedge sized to $200,000 would cover only part of the expected move. See hedge ratio, beta-adjusted exposure and beta. Professional desks adjust hedges continuously; see delta hedging and tail-risk hedging.

Options carry their own risks: expiry, early assignment, wide bid-ask spreads and tax complications. They require options approval at a broker, and they are not suitable for every investor.

For days or weeks, sometimes; for months or years, usually not. Inverse ETFs reset their exposure every day, so over longer periods their return drifts away from the simple opposite of the index, especially in choppy markets.

Illustrative: an index falls 10% one day and rises 11.1% the next, ending flat. A −1× inverse fund rises 10%, then falls 11.1%, ending about 2.2% lower. Repeat that pattern and the loss compounds. See are inverse ETFs good for hedging and leveraged ETF decay.

VIX products hold volatility futures, not the VIX index itself. When later futures cost more than near ones, which is the normal state, rolling them loses value month after month. They can spike in a crash and still lose money for long-term holders. See how VIX products work as a hedge.

They reduced some crash losses in the backtests below, but none protected in every crisis, and all gave up return. The table compares rule-based and lower-risk approaches with the S&P 500 from July 2016 to September 2026.

The pattern is consistent: bond-heavy mixes protected well in 2020 and poorly in 2022; minimum volatility did the reverse; the trend filter dodged the slow part of 2020 but not 2022. Risk parity starts in July 2017. Backtested (hypothetical) results from historical ETF prices with dividends reinvested and no trading costs or taxes; past performance does not guarantee future results.

Stop-loss orders work differently: they sell a single position once it trades below a set price. In a gap down the order fills at the next available price, which can be far below the stop, and in a quick rebound it can lock in the loss. See should you use stop-loss orders and the full strategy comparison.

Name the risk first, then hedge that risk rather than the whole portfolio. A broad hedge is a blunt tool against a narrow problem.

It depends on whether a smaller loss would change what you do in a crash. Permanent protection has a large cost in a rising market. In the same backtest, from July 2016 to September 2026, $10,000 in the S&P 500 grew to $42,626, while the same amount in a monthly rebalanced 60/40 stocks-and-bonds mix grew to $25,380. The 60/40 mix fell less in the COVID crash (−11.5% against −19.4%), but it still lost 15.8% in 2022. Backtested (hypothetical) results; past performance does not guarantee future results.

That gap is the price of a smoother ride. It can be worth paying if the alternative is selling near the bottom, which locks in the loss and misses the recovery. It is rarely worth paying for protection you would not need: a long time horizon, steady income and a portfolio you could hold through a 30% fall reduce the need to hedge at all. The honest test is the dollar loss in a crash replay compared with the loss you could live with.

For the return side of the trade-off, see the portfolio optimization guide.