Such an escalation of home prices is unlikely to repeat, especially from here after their frantic climb
2 min
Once upon a time, a young family bought a modest three-bedroom Cape, the worst house in the best location in a prosperous suburb. Many years later, during the housing frenzy of 15 years ago and after the kids had grown and moved away, they received an unsolicited cash bid—for 20 times what they paid. That became their nest egg, which provided a comfortable retirement.
It’s all true, but it might as well be a fairy tale. Such an escalation of home prices is unlikely to repeat, especially from here after their frantic climb. Over the long term, history shows the stock market has returned about twice as much as residential real estate. And it’s done so with far fewer headaches than the attendant expenses of upkeep, which have come as a shock to many recent home buyers.
Looking at the data assembled by NYU Stern School of Business professor Aswath Damodaran, stocks (as measured by the S&P 500) returned 12.47% annually from 1972 to 2021, versus 5.41% for residential housing (based on the Case-Shiller Index, through last October), a span that encompasses inflation’s liftoff after the dollar’s link to gold was severed. Looking at 2012-2021, which takes in the recovery from the housing bust that precipitated the 2007-09 financial crisis, stocks returned an average 16.98%, versus 7.38% for housing.
In a new paper prepared for the Brookings Institution, Robert Shiller, a creator of the housing index, and Anne K. Thompson found 72.4% of respondents in a survey said recent bidding wars had resulted in “panic buying that caused prices to become irrelevant.” That was attributed to the now-familiar story of buyers wanting more room, especially for a home office, in the suburbs. White-collar workers who could work from home were mostly unscathed or benefited from lower spending outlays during the worst of the pandemic.
Historically low mortgage interest rates further leveraged bidders’ buying power. With Freddie Mac’s average 30-year loan down to 3.05% in December, the monthly payment on the median-priced house of $408,100 in the fourth quarter, bought with a 20% down payment, would be US$1,385. With the jump in mortgage rates, to 4.67% as of March 31, that same loan would cost US$1,687 a month. The reduction in affordability is sure to slow home-price appreciation.
Shiller and Thompson found that recent buyers are realistic about near-term home-price trends, expecting some moderation, but may be “given to flights of fancy for the longer run.” Damodaran’s parsing of their data showed buyers at the peak of the previous bubble in 2006 didn’t recover fully from the ensuing bust for 10 years. That wasn’t the first time home buyers were stuck with losses. After the dip from the peak in 1989, prices didn’t recover fully until 1992. And those losing spans didn’t take into account transaction costs, which are huge for residential real estate.
It’s axiomatic that buying high lowers future returns. In human terms, stuff happens, from better job opportunities elsewhere—especially given the ability to work from anywhere for knowledge workers—to unfortunate circumstances such as death and divorce. The ability to pick up stakes with totally portable and liquid financial assets may provide more freedom in the near term, along with greater wealth over the longer span.
Reprinted by permission of Barron’s. Copyright 2021 Dow Jones & Company. Inc. All Rights Reserved Worldwide. Original date of publication: April,
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
3 min
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.
