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Tokenized Equities: Evolution or Illusion


Tokenized money market funds and blockchain-based interbank settlement have moved from pilot to production.

Equities are emerging as the next frontier.

Several regulated platforms are preparing to offer blockchain-based versions of publicly traded stocks in 2026. Some promise 24/7 trading. Others highlight compressed settlement cycles, fractional ownership, and global distribution. The narrative is familiar: faster, cheaper, more accessible markets.

The key question is not technological feasibility, but structural viability. Are tokenized equities legally enforceable, operationally sound, and compatible with existing market safeguards—or simply new wrappers around familiar risks?

Below I outline a set of practical tools institutional investment managers can use to evaluate these instruments.

Household debt at a high, risks lurk beneath stable arrears


Household debt inched up to another record high in the first quarter even though nonmortgage-related debt drifted lower with a seasonal decrease in credit card balances due in part to tax refunds.

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Housing finance obligations rose, driving total debt up by $18 billion to $18.8 trillion during the period, according to an analysis the Federal Reserve Bank of New York’s Microeconomic Data Center conducts using an anonymized sample of Equifax data.

Mortgage balances were up by $21 billion, bringing the total in that category to $13.9 billion. Home equity lines of credit rose by $12 billion to $446 billion. Declines in the balances of credit cards and some other types of obligations outside the housing sector offset the gains. 

Total delinquencies were generally stable but some mortgage variations shed some light on a recent rule change’s impacts.

Where the mortgage risks are

Overall, serious delinquency transitions for mortgages only “accelerated slightly” from 1.4% to 1.5% during the period, according to the New York Fed’s report. Moves into more short-term arrears drifted lower. 

Pockets of servicing risk lie within the broader delinquency rate, Selma Hepp, chief economist at Cotality, said in an interview at NMN’s offices. She pointed to recent originations in certain markets as well as the FHA rule as reasons for these concerns. 

Servicers with such loans are “constantly worrying about how over leveraged their portfolio is, how much they have to do in modifying these mortgages, how little equity they have; or, if they bought on top of the market, now they’re finding themselves in negative equity,” she said. 

Hepp stressed that overall negative equity, while rising, remains low relative to 2008 levels.

“It’s not a large increase, but it is concentrated, and it’s concentrated in these markets that have seen some price corrections, like Texas and Florida,” she said.

Between these concerns and the broader pickup in long-term arrears noted in the New York Fed’s report, servicers may have to ramp up their resources for dealing with distressed home inventory in certain parts of their portfolios.

“This is something to watch and could lead to a pick up in foreclosures,” Bill McBride wrote in his Calculated Risk blog, commenting on the increase in mortgages’ serious delinquency rate.

The former technology executive’s reports are closely read because was among the first to foresee a housing bubble that forced government-sponsored enterprises Fannie Mae and Freddie Mac into conservatorship in 2008.

These risks are specific to the mortgage market, but there also are some near-term consumer credit concerns outside the market that could have implications for residential real-estate finance.

Other consumer credit concerns

The New York Fed report flags high serious delinquencies in some other sectors like student loans, and a recent Eye on Housing report by the National Association of Home Builders’ economics team also has noted that study reports a 13.2% SDR rate for credit cards.

“Many households increasingly relied on revolving debt to manage higher everyday living costs during the inflation surge and are now struggling to keep up with repayment,” the NAHB economists wrote.

How much and what type of impact this will have on mortgages remains to be seen. It may be contributing to the increase in HELOC debt, which has been ongoing for 16 consecutive quarters.

Credit score distribution supports the notion that mortgage underwriting is doing more to protect the market than it did during the period leading up to the 2008 bubble, with virtually no originations with scores below 620 and “few below 660,” according to McBride. 

However, he noted that there have been more mortgages originated to borrowers with scores of 660 or higher recently.

“There has been an increase in originations for borrowers in the 660 to 670 range. A significant majority of recent originations have been to borrowers with a credit score about 760,” McBride wrote.

While mortgage lenders look at debt-to-income levels and credit scores at origination, the servicing impact that occurs down the road if these worsen may be confirmed fastest for those who encourage borrower communication, particularly for loans with other potential stressors.

“You may not know unless your borrower calls you and claims hardship,” Hepp said.



EagleRock Land prices IPO at $18.50 per share




EagleRock Land prices IPO at $18.50 per share

DeFi Sector Grapples With Capital Flight As Security Vulnerabilities Expose Systemic Weaknesses : Analysis


The decentralized finance (DeFi) landscape, long positioned as a viable and improved alternative to traditional finance, is confronting a significant retreat from investors following a string of devastating cyberattacks. Once known for its promise of transparent, intermediary-free financial services powered by smart contracts, the sector is now seeing widespread skepticism over its ability to safeguard user assets amid escalating threats.

According to analytics platform DefiLlama, approximately $14 billion has been withdrawn from DeFi protocols in recent weeks. This sharp decline stems primarily from two major incidents that exposed deep-seated weaknesses in the ecosystem’s interconnected infrastructure.

The more recent breach targeted KelpDAO, where attackers believed to be linked to North Korean operations siphoned roughly $290 million.

Exploiting cross-chain messaging protocols that enable seamless asset transfers between blockchains, the perpetrators then leveraged the compromised tokens as collateral to secure an additional $230 million in loans from Aave, the leading DeFi lending platform.

The maneuver left Aave with substantial unrecoverable debt, prompting emergency interventions by key industry players to contain potential contagion.

Just weeks prior, a separate exploit drained about $280 million from Drift, a prominent decentralized exchange operating on the Solana network.

Unlike earlier attacks that often relied on stolen private keys or exploitable code flaws, these operations demonstrated sophisticated social engineering tactics that tricked systems into authenticating fraudulent ownership claims.

Such methods highlight how the very features enabling DeFi’s borderless interoperability—bridges and messaging layers—have become prime targets for exploitation.

DeFi experienced steady growth during the 2020 “DeFi summer,” when total value locked surged from under $1 billion to nearly $180 billion by late 2021.

Today, however, the sector’s overall locked capital hovers around $86 billion, reflecting not only market cycles but also mounting risk aversion.

The latest events have amplified concerns that vulnerabilities in one protocol can cascade across the network, undermining the core narrative of DeFi as a more secure and efficient alternative to legacy financial systems.

“The fallout is severe,” noted Lucas Tcheyan, a research associate at crypto research firm Galaxy.

He emphasized that these breaches erode confidence in crypto’s purported advantages of greater transparency and reduced reliance on centralized intermediaries.

The incidents have also reignited debates about DeFi’s foundational principles.

While the sector prides itself on decentralization, the rapid coordination among influential stakeholders to stabilize Aave has drawn criticism for revealing pockets of centralized influence.

Token values for several major platforms have tumbled, signaling broader investor unease.

Traditional finance institutions, which have begun exploring blockchain integration, may now pause their enthusiasm, as the events underscore the tension between open interoperability and resilient security controls.

The pressure is unlikely to ease soon. As first reported by the FT, analysts warn that advancing technologies like artificial intelligence could empower even more advanced attack vectors, targeting smart contract logic with greater precision.

Policymakers worldwide are intensifying oversight efforts, pushing for clearer rules on investor protections and platform accountability. For DeFi to reclaim its momentum, developers and participants must prioritize fortified infrastructure and transparent risk management—otherwise, the exodus could mark a prolonged period of contraction rather than a temporary setback.



Should You Buy the Cerebras IPO? Here’s How the AI Chip Stock Stacks Up.


Cerebras is expected to make its public debut on Thursday, and investors just can’t wait. After its initial public offering (IPO) filing a couple of weeks ago, the offering is 20 times oversubscribed, leading the company to increase its target share price to between $150 and $160 and increase the number of shares offered. The high end of that range would value the company at roughly $48.8 billion.

That might seem like small potatoes compared to competing AI semiconductor stocks like Nvidia (NVDA +2.33%), which is worth more than 100 times that amount. Broadcom (AVGO 0.60%) is worth nearly $2 trillion, and AMD‘s (AMD 0.67%) market cap tops $700 billion. But with Cerebras’ excellent technological capabilities and potential disruption of AI inference data centers, investors might think it has a shot at competing with the big boys. Should you buy the stock at its IPO?

Image source: Getty Images.

What’s the advantage of using Cerebras’ chips?

Cerebras designs wafer-scale chips that use an entire 12-inch silicon wafer. The result is a chip roughly 30 times the size of Nvidia’s Blackwell B200 package with 19 times as many transistors per chip, Cerebras notes in its S-1 filing.

Making chips at that scale is no easy feat, but it comes with significant advantages. Since connections between logic cores and memory capacity are etched right into the silicon, Cerebras chips can process data much more quickly while using less power. Additionally, there’s less overhead needed for networking and interconnect between chips. The result is a chip that can perform many AI inference tasks much more quickly and at lower costs than a traditional graphics processing unit (GPU) cluster setup.

That’s why Cerebras’ infrastructure has caught the attention of OpenAI and Amazon (AMZN +1.61%) Web Services (AWS). OpenAI has committed $20 billion to rent 750 megawatts’ worth of capacity directly from Cerebras between 2026 and 2028. Amazon plans to buy Cerebras’ chips to work in conjunction with its own Trainium chips in Amazon-owned data centers.

What are the risks facing Cerebras?

There are some major risks facing Cerebras as it makes its public debut.

First and foremost, investors will note that Cerebras’ backlog climbed to $24.6 billion at the end of 2025, with the majority of that attributable to its contract with OpenAI. In other words, Cerebras faces severe customer concentration risk. The AWS deal will diversify that revenue a bit, but Cerebras will likely have to prove itself before attracting more customers to its data center business.

To that end, the company faces execution risk. It’ll have to stand up 250 megawatts of computing capacity for OpenAI by the end of the year. Management has never built or operated a data center of that size before. If it encounters any issues scaling, it could negatively affect its OpenAI contract and its ability to attract additional customers.

Adding to the scaling challenge is that Cerebras’ chips are manufactured by Taiwan Semiconductor Manufacturing (TSM +0.65%), which has seen tremendous demand for its services. Some of TSMC’s biggest customers are exploring options for secondary sources, as the largest chip manufacturer sees growing demand for its leading-edge technology. TSMC, meanwhile, is retrofitting many of its existing facilities to add capacity for its leading-edge N3 and N2 processes while reducing capacity for N7 and N5.

Taiwan Semiconductor Manufacturing Stock Quote

Taiwan Semiconductor Manufacturing

Today’s Change

(0.65%) $2.59

Current Price

$399.87

Cerebras notably uses TSMC’s N5 process for its wafer-scale chips. No other chip manufacturer can viably produce wafer-scale chips, creating a significant supply chain risk for Cerebras as it scales.

How does Cerebras stack up with other AI chip stocks?

There’s no doubt that a small company with a massive backlog relative to its current revenue deserves a premium valuation even with the risks outlined. Cerebras already has the backlog in place to grow its revenue tenfold within a few years as long as it executes. At a valuation of $48.8 billion, it would trade for roughly 96 times its 2025 sales.

To put that in perspective, Nvidia currently trades for 25 times trailing-12-month sales. Broadcom trades for 29 times sales, and AMD trades for 19 times sales. Importantly, none of those companies are expected to grow their top lines as quickly as Cerebras. Still, none of them are slouches. Broadcom and AMD are each expected to double their revenue from 2026 to 2028, and Nvidia’s expected to grow its top line 57%. What’s more, Nvidia, Broadcom, and AMD are much less risky than Cerebras.

Nvidia Stock Quote

Today’s Change

(2.33%) $5.14

Current Price

$225.92

Cerebras’ technology is compelling, but it’s not a complete replacement for the chips made by Nvidia, AMD, or Broadcom. It will remain a subset of the overall AI chip market even as that subset continues to grow quickly. The $48.8 billion price tag on Cerebras’ IPO looks like too much of a premium to pay, and investors may be better off waiting to see if the market offers a better entry point for the stock later.

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Listeners engage less deeply with music labeled as AI – even when it’s actually human-made, academic study finds


Listeners engage less deeply with music attributed to AI than with music attributed to a human – even when the music is actually human-composed, a new peer-reviewed academic study has found.

The authors say their findings suggest “truthful attribution can have real consequences for how music is perceived and understood” – landing in the middle of an active industry debate over mandatory AI music disclosure.

The peer-reviewed paper, which you can read in full here, published in the journal Cognitive Research: Principles and Implications in March, was authored by Sarah H. Wu of Stanford University and Kevin J. Holmes of Reed College.

Various music streaming services have been rolling out their own AI labeling systems in recent months.

Apple Music launched its Transparency Tags system in March, asking labels and distributors to flag AI use at the point of delivery.

Spotify followed last month with the beta launch of AI Credits in song credits, similarly relying on labels and distributors to self-disclose AI use.

In late April, Spotify went further by introducing a new “Verified by Spotify” badge, with the streaming giant saying that profiles “that appear to primarily represent AI-generated or AI-persona artists” would not be eligible for verification.

“In the AI era, it’s more important than ever to be able to trust the authenticity of the music you listen to,” Spotify said in an accompanying blog post.

Deezer has gone further still – independently detecting and tagging AI music at the platform level, and now reporting that around 75,000 fully AI-generated tracks are uploaded to its service every day, making up roughly 44% of daily deliveries.

Earlier this month, music supervisor Frederic Schindler made the case in an MBW op-ed for an industry-wide “Music Facts” disclosure protocol modeled on FDA nutrition labels, with “AI Generated” listed as one of four mandatory origin categories.

The Wu and Holmes paper was based on two preregistered studies involving 399 US participants, who listened to instrumental music clips and reported whether they imagined a story while listening – a phenomenon the researchers describe as “narrative listening”.

In the first study, participants heard six human-composed pieces – including works by Beethoven, Mozart, Debussy and Ravel – without being told who or what had composed them.

The more strongly listeners believed a given piece was computer-generated, the less likely they were to imagine a story – and the less engaging the stories they did imagine were, according to Wu and Holmes.

“FALSELY FRAMING AI-GENERATED ART AS A HUMAN CREATION MAY ELICIT A GREATER SENSE OF MEANING – BUT AT A COST TO HUMAN CREATORS, DEPRIVING THEM OF CREDIT AND COMPENSATION FOR THE WORK FROM WHICH AI PRODUCTS ARE DERIVED.”

SARAH H. WU AND KEVIN J. HOLMES

In the second study, the researchers used eight pieces – four human-composed, four generated by AI software AIVA – and labeled each one either “Composer: Human” or “Composer: AI” while it played to the participant.

The “AI”-labeled pieces elicited fewer and less engaging imagined narratives than the “Human”-labeled pieces – regardless of who or what had actually composed the music, the Stanford and Reed researchers reported.

That suppression was nominally stronger when applied to actual AI compositions – suggesting listeners were also picking up on acoustic markers of AI on top of the labels themselves, according to Wu and Holmes.

“Attributing music to AI is associated with – and can engender – an impoverished listening experience, devoid of the mental narratives that unfold as the composer’s musical choices guide the listener’s imagination,” Wu and Holmes wrote.

The authors said the label effect appeared to be driven by listeners ascribing less communicative intention to pieces marked as AI-made. “Labeling music as AI composed, truthfully or otherwise, may lead listeners to infer that the music lacks meaning or intensity,” Wu and Holmes wrote.

“Attributing music to AI is associated with – and can engender – an impoverished listening experience, devoid of the mental narratives that unfold as the composer’s musical choices guide the listener’s imagination.”

SARAH H. WU AND KEVIN J. HOLMES

Those findings land alongside parallel research from Kiel and Hamburg economists Jana Friedrichsen, Julia Schwarz, and Michel Clement.

Their three-study working paper, not yet peer-reviewed, was summarized in ProMarket last Monday (May 4), and found that listeners’ willingness to pay for AI-generated music drops when its AI origin is disclosed – an effect mainly driven by pop listeners.

“Consumers can only make informed choices if artists and music platforms are transparent about the use of AI,” Friedrichsen, Schwarz and Clement wrote.

The Wu and Holmes paper opens with a reference to The Velvet Sundown, the “band” that surpassed 1 million monthly Spotify listeners in 2025 before its operators confirmed the music was AI-generated.

The authors describe one of The Velvet Sundown‘s songs as making “for an adequate road-trip soundtrack,” adding: “Much AI-generated music may go undetected because it is designed to blur the distinctive qualities of human-composed works, yielding a kind of algorithmically curated easy listening.”

For Wu and Holmes, that under-detection comes at a cost to human creators.

“Even though AI systems can produce works that look or sound impressive, audiences may engage with them in a rather shallow way, missing the human touch that makes art feel meaningful,” Wu and Holmes wrote.

Wu and Holmes added: “By the same token, falsely framing AI-generated art as a human creation may elicit a greater sense of meaning – but at a cost to human creators, depriving them of credit and compensation for the work from which AI products are derived.”

That risk to human creators was illustrated earlier this year by the case of Murphy Campbell, a North Carolina folk musician who discovered AI-cloned covers of her songs uploaded to her own Spotify profile, before a copyright troll claimed ownership of her legitimate YouTube recordings via gamma-owned distributor Vydia.

The scale of that harm extends far beyond Campbell‘s case. Sony Music Entertainment revealed at the launch of the IFPI‘s Global Music Report 2026 in March that it had asked streaming platforms to take down more than 135,000 songs created by fraudsters using generative AI to impersonate its artists.

Dennis Kooker, Sony Music‘s President of Global Digital Business and US Sales, said the deepfakes cause “direct commercial harm to legitimate recording artists.”

In a February MBW op-ed, IFPI CEO Victoria Oakley and RIAA CEO Mitch Glazier wrote that generative AI has “industrialized” streaming fraud.

Performance rights organization ASCAP, meanwhile, has been calling for transparency around AI use in musical works since 2023, when its board adopted six AI principles including a call to distinguish AI from human-generated works.

Concluding the paper, Wu and Holmes wrote: “For music to inspire our inner storyteller, it helps to know there’s a human mind behind it.”Music Business Worldwide

35% of Homeowners Won’t Sell at Any Price—And That’s Creating a Gold Mine for Small Landlords


Millions of homeowners are clinging to their pandemic-era mortgage rates like castaways clutching driftwood. That stubbornness is resetting the rulebook for investors.

A new survey of 1,000 mortgage holders by Best Interest Financial and Clever Real Estate found that 35% of homeowners with a mortgage rate under 6% would not give it up for any reason whatsoever. Among those with rates under 3%, the figure jumped to 52%.

Nearly half—47%—of those surveyed said that they simply couldn’t afford a mortgage at today’s rates if they had to start over. The result is a housing market that, according to Fortune, has been frozen for three years.

The Lock-In Effect Is Not Going Anywhere—Here’s What That Means

Since 2022, annual home sales have dropped to their lowest level—approximately 4.1 million—since the mid-90s, when the U.S. population was 22% smaller, according to the Wall Street Journal.

There is a desperate need for more housing. However, according to data from Intercontinental Exchange cited by the Journal, 54% of primary homeowners are sitting on rates of 4% or lower—and, as the Best Interest Financial and Clever Real Estate survey discovered, many of them do not intend to sell.

For landlords currently sitting on rentals, here’s what that means: Every family priced out of buying is another family looking for a quality rental.

The Trump administration put the housing shortage at 10 million units, while Realtor.com and Zillow had it at half that amount last year. 

It’s all about supply and demand. Demand far outweighs supply, which means landlords are sitting on one of this economy’s most prized assets: housing.

Affordability Continues to Keep Buyers Away

Said Dr. Jessica Lautz, NAR deputy chief economist, in a Realtor.com press release

“For many younger households, affordability challenges and limited inventory are still making homeownership difficult to achieve. Older millennial buyers are now entering middle age, and with that comes a shift. This cohort is now the highest-earning generation of homebuyers, buys the largest homes, and is most likely to have children living with them. Those traits were once more commonly associated with Gen X buyers, who are now increasingly looking toward empty-nesting and retirement.”

However, further complicating the housing supply chain is that baby boomers, those aged 61-79, are transacting most of the real estate—accounting for 42% of buyers and 55% of sellers—leveraging their considerable home equity to do deals, leaving younger buyers locked out.

Added Lautz: 

“Baby boomers are at a point in life when they have the flexibility to move, often with housing equity to help purchase their next home. In earlier years, baby boomers—like millennials today—may have moved because of a job change or the need for a larger home. Today, many baby boomers are embracing choice and moving to be closer to friends and family, to downsize, or to retire and enjoy a work-free lifestyle.”

Mortgage Interest Rates Are Keeping the Market Frozen

With interest rates still in the low-6% range with no end in sight, it seems likely prospective buyers will remain renting for a while yet.

“We forecast that mortgage rates will range between 6% and 6.5% this year, and our latest weekly data show it’s trending towards the upper end of that range,” Mike Fratantoni, chief economist for the Mortgage Bankers Association, told Bankrate.com in March.

While the Bankrate article alluded to a gradual crumbling of 3% interest rates as some owners were forced to sell due to growing families or job relocation requirements, it also quoted a report from insurance company First American that tied moving to a geographic location. Those in pricier states, such as California, were less likely to give up their low interest rates than those in less expensive locations.

The Rental Market Fundamentals Are Holding Strong

You’ve probably heard mixed reviews about the current rental market. ApartmentList.com‘s April 2026 report shows that rents are up month over month but down 1.7% year over year. This is due in part to the sharp increase in rents after the pandemic, economic complications, affordability issues, and the war with Iran.

However, it’s probably a temporary situation, given the overwhelming lack of housing, which is likely pushing rents up, as it has in the past few months.

The most recent BiggerPockets Pulse survey showed a slight downturn in optimism among landlords, as evidenced by slight rental decreases over the past year. However, long-term, with low inventory, high rates, and high prices, holding rental property remains almost inflation-proof because people will always need a place to live.

“Real estate is in a recovery mode,” Henry Chin, global head of research for commercial brokerage CBRE, told US News & World Report, but adds that the focus has shifted from price appreciation to steady income. “Investors should look at cyclical and structural points of view to pick the right assets and locations.”

Regarding the economic uncertainty posed by the Iran war, Chin said, “Developed countries are front and center of investors’ minds as occupier demand continues to recover,” adding that the “U.S. is more resilient than Europe,” which is more dependent on overseas oil than the U.S.

Other experts interviewed in the same article concurred. “Interest rates are just one piece of the puzzle, not the defining factor,” says Edward F. Pierzak, senior vice president of research at Nareit (the National Association of Real Estate Investment Trusts). “What matters most is the broader economic backdrop.” 

The sentiment was echoed by Roland Chow, financial planner and portfolio manager at Optura Advisors in Burlingame, California, who said, “Investors should think of real estate as a diversifier to the portfolio and, in the current higher-interest rate environment, as an income source and inflation hedge.”

Final Thoughts

With a continual housing bottleneck and homeowners reluctant to part with low rates, now is a great time to buy if you can. However, it’s not a case of blindly throwing a dart at a map of the country and picking a spot.

The U.S. housing market is not monolithic. While there are always fluctuating cities, by far the best places to invest today are generally in the Midwest and Sunbelt, according to a recent Zillow analysis—with a smattering in the Northeast—assuming you want to keep away from pricier metros such as San Jose, San Francisco, and the New York tristate area.

In the current economic climate, lower price points are a key driver. “A huge component of buyer friendliness is affordability,” Kara Ng, a senior economist at Zillow, told CNBC. ”[The Midwest] was affordable before the pandemic, and it is affordable after the pandemic.”

Did you know that a BiggerPockets Pro membership comes with over $5,000 in potential annual savings through Pro Perks, including discounts on property management, banking, renovation supplies, and investor loans and insurance. Become a Pro today!

Most Home Sellers Are Also Home Buyers: Why That’s a Problem Today


They say most home sellers are also home buyers.

In other words, they aren’t just selling their property and disappearing into thin air.

Nor are they typically renting either. Often, they are selling one home and purchasing a replacement.

As such, there’s no inventory gain. There is no benefit to the housing market other than churn, which benefits those who get paid for the transaction.

Such as real estate agents, mortgage loan originators, title and escrow companies and so on.

Sellers Don’t Want to Be Buyers Right Now

Here’s the problem.

Given the lack of affordability and dearth of supply at the moment, sellers today don’t want to be buyers (and who can blame them).

Nobody wants to be a buyer right now. It’s tough out there. This is no secret.

As such, existing homeowners, who very likely hold cheap debt, a low loan balance, a low tax basis, and all the other benefits of having bought years ago, are very much “would-be sellers.”

I’ve spoken about this before. Sure, they will sell, but only at the right price.

And chances are that price doesn’t work for many buyers today because affordability is so poor.

To add insult to injury, the existing homeowner’s price must factor in the very real cost of the seller giving up their ultra-low mortgage rate and taking on a much higher rate on an even higher purchase price.

That tricky dynamic puts even more strain on already limited for-sale supply.

We underbuilt for many years post-early 2000s housing crisis, and this simply makes it worse.

It’s why home prices continue to stay stubbornly high despite affordability telling you they should fall.

Today’s Home Sellers Demand Top Dollar to Offset Replacement Property Math

If you’re a home buyer today, you need to look at things from the home seller’s perspective.

Many current homeowners are sitting on 3% 30-year fixed mortgages. Or even sub-3% mortgage rates.

Their monthly payment feels like a steal (and is) compared to what a new buyer would face at today’s rates.

If they sell today and buy again (which as I said most plan to do), they’re not only losing that low-rate mortgage, but also taking on a new loan at rates that are double (or more) than what they currently pay.

In addition, they’re paying a much higher price for their replacement home in a still-competitive market.

The math simply doesn’t pencil for a lot of sellers unless they get top dollar on their current property.

So they list for some exorbitant price and everyone tells them they’re listing way too high.

But they don’t really care. They are happy to stay put if they don’t get their price. They are “would-be sellers” with time on their side.

This allows them to list at an aspirational price and simply bide their time.

Even in normal times, homeowners are emotionally attached to their homes. And due to mortgage rate lock-in, they’re financially anchored as well.

This Is Why Supply Stays Tight and Home Prices Stay Elevated

The end result is pretty straightforward here.

A vicious cycle of limited for-sale inventory, high home prices, and a reluctance for more existing homeowners to sell.

If fewer homes hit the market because owners don’t want to trade in their 3% mortgage and its tiny low balance for a new, much more expensive one, inventory stays tight.

Meanwhile, the few properties that do come to market are priced to compensate the seller for giving up that low rate, low balance, low tax basis, etc.

They need motivation somehow and listing for a fire-sale price ain’t it.

As such, prospective buyers who are already stretched by high interest rates and prices either can’t afford it or choose to wait it out.

Sure, new construction helps to some degree, but it can’t fully offset this strange dynamic, nor are most new builds in areas where folks want to buy (think the outskirts).

Builders face their own challenges today with high costs and tight margins, and they haven’t forgotten the early 2000s housing bust.

So they’re rather smartly not flooding the market with for-sale inventory either.

The end result is sustained high home prices on a national level, even if some markets experience weakness, namely those with a higher concentration of more recent home buyers (those with less to lose by selling or foreclosing).

The irony is that the “right price” for sellers, which is most often a “high price,” keeps the housing market from cracking in a meaningful way.

Colin Robertson
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