Worried About a Stock-Market Correction? Here’s How to Lock in Recent Gains
The best course when stocks slide is for investors to stand pat, but ‘put’ options are one way to hedge against a drop and lock in some profits
The best course when stocks slide is for investors to stand pat, but ‘put’ options are one way to hedge against a drop and lock in some profits
The past five years have been good to stock-market investors. The S&P 500 index has climbed an annualised 12% during that period, outstripping the 9% annualised gain over the past 40 years. This year alone the index is up 6.9% as of April 26, tacking on to the 24% gain in 2023.
But signs are emerging that the stock market could be due for a breather. As of April 25, the S&P 500 went 133 trading days without a decline of at least 10%, according to PNC Institutional Asset Management. To be sure, that’s still short of the 172-day average since 1928. But the S&P 500 has jumped 24% in the past six months (about 180 days), which buttresses arguments for a correction.
What’s more, the multiyear ascent has arguably sent stocks to overvalued levels. The S&P 500’s forward price-to-earnings ratio—a gauge of market valuation based on earnings estimates for the next 12 months—registered 20 as of April 26, exceeding the five-year average of 19.1 and the 10-year average of 17.8, according to FactSet.
“A correction is certainly possible,” says Jack Ablin , chief investment officer at wealth-management firm Cresset Capital, pointing to the high valuations and the prospect that rate cuts will come later than expected thanks to inflation that has been higher than expected.
Given the danger of a stock-market correction, commonly defined as a 10% to 20% drop, how can investors guard the profits they have made in recent years?
Assuming you have a well-diversified portfolio and aren’t counting on the money from your stocks to finance an imminent expense, financial advisers say the best strategy is to hang tight.
Corrections generally don’t stick around long. Since 1985, declines between 10% and 20% for the S&P 500 have lasted only 97 days on average—three-plus months—according to a CFRA analysis of S&P data.
It then has taken the market an additional 101 days on average to recover the ground lost during the correction. So in about six months, investors tend to be back where they were before the correction.
“If there’s a shallow correction of 5% to 10%, we recommend riding it out,” says Karim Ahamed , an investment adviser at wealth-management firm Cerity Partners. “Eventually the market recovers. The idea of selling out and climbing back in is difficult to achieve. You’re more likely to stay on the sidelines with your losses crystallising.”
The S&P 500 did fall more than 5% in recent weeks, from March 28 to April 19.
Some people, though, simply find it impossible to do nothing if they fear a correction is looming. At the least, they want to protect the gains they have earned so far. What’s the most prudent way for them to reduce their market exposure?
Keep in mind that most actions you can take to guard your stock profits carry a cost. The easiest method, selling stocks, subjects you to capital-gains taxes unless you are selling from a tax-advantaged retirement account. That tax rate varies according to your income, but will likely be 15%.
One way to limit the burden is through tax-loss harvesting, says Amanda Agati , chief investment officer of PNC’s asset-management group. That is when you sell stocks at a loss, lowering your net capital gain. If you have any dogs in your portfolio—stocks with poor fundamentals—you can unload those.
If you do sell stocks, you could put the proceeds into a money-market fund for now, financial pros say. Many such funds yield 5% or more, far higher than rates over the past 15 years. Or if you want to increase the safety of your overall portfolio, you could put the money into safe government bonds. Three-year Treasury notes yield around 4.75%.
If you are going to unload stocks, but don’t want to sell right away, you can put in a stop-limit sell order through your brokerage. That order can automatically sell your shares if they slide to a level you designate (they can go below it, too), protecting you from big drops.
Say you bought 100 shares of Tesla at $140, and they are now trading at $165. If you don’t want your profit to disappear in a downturn, you could enter a stop-limit sell order with your brokerage at $150 for some or all of your shares. Those shares can be sold if the price reaches $150, securing some of the gains.
You also might shift your holdings more toward defensive stocks, such as utilities and consumer-staple companies, which generally outperform during market downturns, says Michael Sheldon , executive director of wealth-management firm RDM Financial Group.
PNC’s Agati suggests an emphasis on quality stocks, those with high recurring revenues, strong and dependable profit margins, high cash flow and low debt. These stocks—such as AutoZone and Visa , she says—have lagged behind the leaders of the market’s surge over the past year.
Advisers also suggest looking at “put” options to protect your stock gains. Puts give you the right but not the obligation to sell a security at a preset price by a preset deadline.
Note that we’re talking about a risk-reduction approach here, not the kind of risk-taking—to try to amplify returns— that has been rampant in the options market . The simplest strategy could be to purchase a put option on a market-index exchange-traded fund, such as one based on the S&P 500. You could buy puts on individual stocks rather than an index ETF, but that may get expensive and complicated as each option carries a purchase premium.
Here’s how the ETF strategy would work: First, buy an option that would let you sell the ETF at a price below the current one, protecting you from declines beneath that level. You wouldn’t have to sell the ETF, and you wouldn’t even have to own it. As the S&P 500 falls, the put option gains in value, and you can sell it.
Say on April 16 you wanted to protect 100 shares of SPDR S&P 500 ETF Trust (SPY) from a decline of more than 10%. With the ETF trading at $505 a share, you could buy an option that covers 100 shares for $1,050, or $10.50 a share. You’re paying a premium equal to 2% of your position.
The option’s expiration date is December, and its strike price is $455 a share, or 10% below the current value. The strike price is the price at which you could exercise the option. But generally you sell the option rather than exercising it, so you don’t have to dump any shares, especially if you don’t own them.
If the market doesn’t go down 10% by December, you let the option expire worthless, and you’re out the $1,050 you paid for it. If the market drops more than 10%, you can sell your option at a profit whenever you want until December.
While it might be more lucrative to sell it early, Ablin recommends holding until expiration if you’re using the option to protect your portfolio. “Think of it like homeowner insurance,” he says. “You pay a premium, like a deductible for insurance, and your coverage runs for a term.”
Keeping the option until expiration extends your coverage for the longest possible period.
By using options, you don’t have to sell any of your stocks, which are typically the best asset to generate strong long-term returns. “If you have the wherewithal to hold the S&P 500 for 10 years, your odds of making money are over 90%,” Ablin says.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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