The Stocks Investors Are Putting Under the Tree

Retailers are making modest predictions about the holiday shopping season—and their stocks are going gangbusters in response.

Victoria’s Secret, Foot Locker, Ulta Beauty and Dollar Tree are among the companies that offered somewhat mixed assessments of the state of the shopper last week. Yet each received an ovation from investors.

Traders have piled into stocks en masse since a softer-than-expected inflation reading on Nov. 14 bolstered wagers that the Federal Reserve is done raising interest rates and is poised to cool the economy without tipping it into a recession. Treasury yields have sharply declined as well, giving equities a second wind.

The S&P 500 has risen 4.1% since the report, extending its gains for the year to almost 20%.

Many depressed sectors of the market, such as retailers, have risen even faster. The SPDR S&P Retail exchange-traded fund—which includes 78 retailers, from department stores and other apparel companies, to automotive and drugstores—has jumped about 13%. Victoria’s Secret has soared 52%, Foot Locker is up 50%, Ulta has risen 21% and Dollar Tree has added 12%. (Three of the four stocks have suffered double-digit percentage declines this year.)

Americans slowed their spending in October, according to last week’s consumer-spending data from the Commerce Department. But the early readings from the holiday shopping season have been more encouraging. U.S. shoppers spent $38 billion during the five days from Thanksgiving through the following Monday, up 7.8% from the same period last year, according to Adobe Analytics.

Many investors closely watch consumer spending because it is a major driver of economic growth. If spending is too strong, the Fed could be forced to raise interest rates again. Whereas, if spending is too weak, it could be a sign that the economy is entering a recession.

In the coming days, investors will look at U.S. service-sector activity for November and Friday’s monthly jobs report as they try to assess the strength of the economy and the market’s trajectory.

“The consumer has been resilient throughout it all,” said Jay Woods, chief global strategist at Freedom Capital Markets. “The economic news is now starting to back that up, that, ‘OK, we aren’t going to be in a recession. Things are getting a little bit better.’ And these stocks that had been beaten-down are finally catching a bid.”

Victoria’s Secret posted its second consecutive quarterly loss Wednesday, with the lingerie retailer facing a continued slump in sales. But the company forecast higher sales in the current quarter, sending shares up 14% the next day, their largest one-day percentage gain in more than two years. The stock is down 20% in 2023.

Footwear retailer Foot Locker said Wednesday that Black Friday sales were strong and it forecast an upbeat holiday shopping period, while reporting lower sales and profit for the third quarter. Its shares rose 16% that day, their biggest gain in more than a year, trimming their 2023 decline to 21%.

Cosmetic retailer Ulta on Thursday posted stronger-than-expected sales in the third quarter and raised the lower end of its sales and profit outlook for the year. The shares rose 11% in the following session, their best day since May 2022. They are up 0.6% for the year.

Dollar Tree reported Wednesday that same-store sales growth was weaker than analysts expected, but investors appeared to be encouraged that the discount retailer is seeing increases in customer traffic, even if basket sizes are shrinking. Its shares rose 4.4% that day and are off 11% in 2023.

Another reason why retail stocks have rallied? Warehouses have reduced merchandise, and store shelves aren’t spilling over with discounted goods.

John Augustine, chief investment officer at Huntington Private Bank, said higher interest rates and oil prices made him bearish on retail stocks over the summer. But with an easing macro environment, he believes retailers could be poised to do well.

“It seems like traffic is gonna be there for the holidays,” Augustine said. “Now can retailers make the same profit, earnings per share, with tighter inventory?”

Short sellers are licking their wounds after the recent rally. They lost about $120 million in November betting against the SPDR S&P Retail ETF, according to financial-analytics firm S3 Partners. That compares with a loss of $2.8 million through the first 10 months of the year. Short sellers borrow shares and sell them, expecting to repurchase them at lower prices and collect the difference as profit.

Many retail stocks still generally look cheap compared with the broader market. Victoria’s Secret is trading at 11.8 times its projected earnings over the next 12 months, while Foot Locker is at 16.2. The S&P 500’s multiple is 18.8.

Despite the recent excitement in markets, many investors caution that it is too soon to count on a soft landing for the economy. Jamie Dimon, chief executive of JPMorgan Chase, recently cautioned that inflation could rise further and a recession isn’t off the table.

In the past 11 Fed rate-hiking cycles, recessions have typically started around two years after the Fed begins raising interest rates, according to Deutsche Bank. This hiking cycle started last March.

“It’s not an all-clear resurgence trade that we’re in right now,” said Brock Campbell, head of global research at Newton Investment Management. “This is gonna be a much more idiosyncratic stock picker’s group for a while.”

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.

The debt behind the AI build-out

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.

Inflation changes the calculation

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.

China adds another source of pressure

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.

A reset rather than the end of the boom

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.

Fact box

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