Japanese Stocks Are in the Spotlight Again. Hopes Are High for 2025.
4 min
U.S. investors’ enthusiasm over Japanese stocks at this time last year turned out to be misplaced, but the market is again on the list of potential ways to diversify. Corporate shake-ups, hints of inflation after years of declining prices, and a trade battle could work in its favor.
Japanese stocks started 2024 off strong, but an unexpected interest-rate increase in August by the Bank of Japan triggered a sharp decline that the market has spent the rest of the year clawing back. Weakness in the yen has cut into returns in dollar terms. The iShares MSCI Japan ETF , which isn’t hedged, barely returned 7% last year, compared with 30% for the WisdomTree Japan Hedged Equity Fund .
The market is relatively cheap, trading at 15 times forward earnings, about where it was a decade ago, and events on the horizon could give it a boost. Masakazu Takeda, who runs the Hennessy Japan fund, expects earnings growth of mid-single digits—2% after inflation and an additional 2% to 3% as companies return more to shareholders through dividends and buybacks.
“We can easily get 10% plus returns if there’s no exogenous risks,” Takeda told Barron’s in December.
The first couple months of the year could be volatile as investors assess potential spoilers, such as whether the new Trump administration limits its tariff battle to China or goes wider, which would hurt Japan’s export-dependent market. The size of the wage increases labor unions secure in spring negotiations is another risk.
But beyond the headlines, fund managers and strategists see potential positive factors. First, 2024 will likely turn out to have been a record year for corporate earnings because some companies have benefited from rising prices and increasing demand, as well as better capital allocation.
In a note to clients, BofA strategist Masashi Akutsu said the market may again focus on a shift in corporate behavior that has begun to take place in recent years. For years, corporate culture has been resistant to change but recent developments—a battle over Seven & i Holdings that pits the founding family and investors against a bid from Canada’s Alimentation Couche-Tard , and Honda and Nissan ’s merger are examples—have been a wake-up call for Japanese companies to pursue overhauls. He expects a pickup in share buybacks as companies begin to think about shareholder returns more.
A record number of companies have also delisted, often through management buyouts, in another indication that corporate behavior is changing in favor of shareholders.
“Japan is attracting a lot of activist interest in a lot of different guises, says Donald Farquharson, head of the Japanese equities team for Baillie Gifford. “While shareholder proposals are usually unsuccessful, they do start in motion a process behind the scenes about the capital structure.”
For years, money-losing businesses were left alone in large corporations, but the recent spate of activism and focus on shareholder returns has pushed companies to jettison such divisions or take measures to improve them.
That isn‘t to say it is going to be an easy year. A more protectionist world could be problematic for sentiment.
But Japan’s approach could become a model for others in this new world. “Japan has spent the last 30 to 40 years investing in business overseas, with the automotive industry, for example, manufacturing a lot of the cars in the geographies it sells in,” Farquharson said. “That’s true of a lot of what Japan is selling overseas.”
Trade volatility that hits Japanese stocks broadly could offer opportunities. Concerns about tariffs could drag down companies such as Tokio Marine Holdings, which gets half its earnings by selling insurance in the U.S., but wouldn’t be affected by duties. Similarly, Shin-Etsu Chemicals , a silicon wafer behemoth that sells critical materials, including to the chip industry, is another potential winner, Takeda says.
If other companies follow the lead of Japanese exporters and set up shop in the markets they sell in, Japanese automation makers like Nidec and Keyence might benefit as a way to control costs in countries where wages are higher, Farquharson says.
And as Japanese workers get real wage growth and settle into living in an economy no longer in a deflationary rut, companies focused on domestic consumers such as Rakuten Group should benefit. The internet company offers retail and travel, both of which should benefit, but also is home to an online banking and investment platform.
Rakuten’s enterprise value—its market capitalization plus debt—is still less than its annual sales, in part because the company had been investing heavily in its mobile network. But that division is about to hit break even, Farquharson says.
A stock that stands to benefit from consumer spending and the waves or tourists the weak yen is attracting is Orix , a conglomerate whose businesses include an international airport serving Osaka. The company’s aircraft-leasing business also benefits from the production snags and supply-chain disruptions at Airbus and Boeing , Takeda says.
An added benefit: Its financial businesses stand to get a boost as the Bank of Japan slowly normalizes interest rates. The stock trades at about nine times earnings and about par for book value, while paying a 4% dividend yield.
Corrections & Amplifications: The past year is expected to turn out to have been a record one for corporate earnings in Japan. An earlier version of this article incorrectly gave the time frame as the 12 months through March. Separately, Masashi Akutsu is a strategist at BofA. An earlier version incorrectly identified his employer as UBS.
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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.
4 minA 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
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