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The stock market will crash 32% in 2025 as the Federal Reserve fails to prevent a recession, according to the most bearish strategist on Wall Street.
Peter Berezin, chief global strategist at BCA Research, said in a recent note that a recession will hit the US economy later this year or in early 2025, and the downturn will send the S&P 500 tumbling to 3,750.
"The consensus soft-landing narrative is wrong. The US will fall into a recession in late 2024 or early 2025. Growth in the rest of the world will also slow sharply," Berezin said.
Part of Berezin's bearish outlook is based on the idea that the Fed will "drag its feet" in cutting interest rates, and the central bank will only meaningfully loosen financial conditions until a recession is apparent.
By then, it will be too late.
Berezin highlighted that the labor market is weakening as job openings decline materially from their post-pandemic peak. An ongoing decline in the quits rate, hiring rate, and recent downward revisions to the April and May jobs report also point to a slowing labor market.
"Two years ago, workers who lost their jobs could simply walk across the street to find new work. That has become increasingly difficult," Berezin said.
The June jobs report showed the unemployment rate ticking higher to 4.1% from 4.0%, yet another sign of some mild weakness in the jobs market.
Rising unemployment could ultimately lead to consumers reducing their spending to build up their "precautionary savings," Berezin said, and that will happen as consumers' ability to borrow money narrows due to rising delinquency rates.
Ultimately, a negative feedback loop will develop in the broader economy, which will send the stock market reeling.
"With little accumulated savings to draw on and credit availability becoming more constrained, many households will have little choice but to curb spending. Decreased spending will lead to less hiring. Rising unemployment will curb income growth, leading to less spending and even higher unemployment," Berezin explained.
And perhaps most importantly, the Fed's plan to blunt any economic decline via interest rate cuts simply won't work.
"It is important to recognize that what matters for the economy is not the fed funds rate per se, but the interest rate that households and businesses actually pay," Berezin said.
For example, the average mortgage rate paid by consumers is around 4%, compared to current mortgage rates of around 7%.
That means even if the Fed cuts interest rates and mortgage rates decline, the average mortgage rate paid by consumers will continue to rise.
That principal also applies to businesses and the loans they hope to refinance in the coming years.
"These dynamics will trigger more defaults, causing pain for the banking systems. The problems that affected regional banks last year have not gone away," Berezin said.
According to the Realtor.com ® June housing data , the market stabilized as mortgage rates also stabilized in June due to better-than-expected CPI readings . While the median list price nationwide stayed the same as last year, homes continue to see a price increase on per square foot basis. The time a typical home spends on the market increased compared to last year, as the inventory of homes for sale continued to grow, but homes were still snapped up more quickly than pre-pandemic levels. Meanwhile, although sellers—who are often buyers themselves—may be a little more disgruntled this spring due to a slower market that is requiring more price-adjustment than sellers faced last spring, they are not delisting their homes at any higher rate than last year. Just 6.3% of listings were delisted in the middle of June and this rate has been relatively stable since February.
However, the total count of delistings has risen by 16.1% compared to the same time last year. How can the share of delistings remain relatively stable while the count grows so rapidly? The answer is that total inventory has also grown at about the same rate as delistings, so while a growing number of sellers have taken their homes off the market this spring, there has been a proportionally equal number of sellers who are keeping their homes on the market* .
There were 36.7% more homes actively for sale on a typical day in June compared with the same time in 2023, marking the eighth consecutive month of annual inventory growth. This is also an acceleration from May, which was up 35% year-over-year. In the eight consecutive months of increasing inventory, the rate of growth in each subsequent month has increased. While inventory this June is much improved compared with the previous three years, it is still down 32.4% compared with typical 2017 to 2019 levels. This is a slight improvement from last month’s 34.6% gap, as inventory continues to slowly grow toward normalcy.
In June, as in the previous four months , the growth in homes particularly priced in the $200,000 to $350,000 range outpaced all other price categories, as home inventory in this range grew by 50.0% compared with last year, surpassing even last month’s high 45.1% growth rate. This increase is again primarily fueled by a greater availability of smaller and more affordable homes in the South .
The total number of homes for sale, including homes that were under contract but not yet sold, increased by 22.4% compared with last year, growing on an annual basis for the seventh month in a row and eclipsing last month’s rate of 20.6%.
The number of homes under contract but not yet sold (pending listings) increased by 2.4% which is unchanged from last month’s rate of 2.4%. After reports of consumer price growth flattening in May , mortgage rates fell sharply in June on expectations that the Federal Reserve will cut rates at the end of the year. Back in April we predicted that the growth in pending listings would slow , and this materialized in both May but idled in June. However, with rates falling and inventory growing, it is possible that sales could accelerate slightly in June’s reported numbers, after they declined by 0.7% in May .
However, sellers continued to list their homes in higher numbers this June as newly listed homes were 6.3% above last year’s levels and higher than May’s figure of 5.9%. This marks the eighth month of increasing listing activity after a 17-month streak of decline. Two factors have made listings activity more sensitive to changes in mortgage rates. First, many sellers are themselves also homebuyers. Second, many potential sellers with a current mortgage have a rate well-below today’s market rate, with 87% of outstanding mortgage loans at a sub-6% rate . The decrease in mortgage rates seen in June likely contributed to an increased pace of growth in listing activity. We expect selling activity to continue to normalize as rates inch their way down over the next year.
The South and West Are Closest to Bridging the Inventory Gap
In June, all four regions saw active inventory grow over the previous year. The South saw listings grow by 48.9%, while inventory grew by 35.8% in the West, 21.5% in the Midwest, and only 12.5% in the Northeast. Compared with the typical June from 2017 to 2019 before the COVID-19 Pandemic, the South saw the smallest gap in inventory, down 17.2% compared with pre-pandemic levels, while the gap was 22.8% in the West, and much larger in the Midwest and Northeast, at 48.6% and 57.1%, respectively.
The inventory of homes for sale increased in all of the largest 50 metros compared with last year. Metros that saw the most inventory growth included Tampa (+93.1%), Orlando (+81.5%), and Denver (+77.9%).
Despite higher inventory growth compared with last year, most metros still had a lower level of inventory when compared with pre-pandemic years. Among the 50 largest metro areas, eight metros saw higher levels of inventory in June compared with typical 2017 to 2019 levels. This is down from 11 metros last month. The top metros that saw inventory surpass pre-pandemic levels were predominantly in the South and West and included Austin (+41.2%), Memphis (24.9%), and San Antonio (+24.0%).
The South saw newly listed homes increase the most compared with last year
Compared with June 2023, newly listed home inventory increased the most in the West, by 9.8%, whereas new inventory grew by 7.6% in the South, 2.1% in the Northeast, and 0.7% in the Midwest. The gap in newly listed homes compared with pre-pandemic 2017 to 2019 levels was also the lowest in the South, where newly listed homes were 14.9% below pre-pandemic levels. In comparison, they were down 30.2% in the West, 29.5% in the Midwest, and 32.7% in the Northeast.
In June, 41 of the 50 largest metros saw new listings increase over the previous year, up from 38 last month. However, two large metros saw more newly listed homes this June compared with the typical pace of new listings from June 2017 to 2019 before the pandemic: San Antonio (+8.9%) and Jacksonville (+11.2%). The metros that saw the largest growth in newly listed homes compared with last year included Seattle (+30.5%), San Jose (+26.5%), and San Antonio (+21.8%).
The typical home spent 45 days on the market this June, which is two days more than the same time last year and one more day than last month. June marks the third month in a row where homes spent more time on the market compared with the previous year as inventory continues to grow and home sales remain sluggish. However, the time a typical home spends on the market is more than a week (8 days) less than the average June from 2017 to 2019.
In the South, where the growth in home inventory has been the largest, the typical home spent five more days on the market in June compared with last year, while out West homes are staying on the market three days longer. However, in the Midwest (-1 day) and Northeast (-4 days), homes are still spending less time on the market than last year.
While all regions are still seeing time on the market below pre-pandemic levels, in the West, homes are spending only one day less on the market compared with the typical June from 2017 to 2019. Time on the market was eight days less than pre-pandemic levels in the South, 10 days less in the Midwest, and 15 days less in the Northeast.
Meanwhile, time on the market decreased compared with last year in 26 of the 50 largest metro areas this June, down from 30 markets last month. It decreased the most in San Jose, Chicago, and Providence (-9 days). Time on the market increased compared with last year in 22 of the 50 largest metros, including Phoenix (+14 days), Tampa (+8 days), and Jacksonville (+7 days). Four predominantly Western markets saw homes spend more time on the market than typical 2017 to 2019 pre-pandemic timing: Austin (+6 days), Portland (+4 days), and Oklahoma City (+1 day).
The national median list price continued to increase seasonally, to $445,000 in June compared with $440,000 in May, and the median list price remained stable compared with the same time last year, when it was also $445,000. However, when a change in the mix of inventory toward smaller homes is accounted for, the typical home listed this year has increased in asking price compared with last year. The median listing price per square foot increased by 3.4% in June compared with the same time last year. Moreover, the typical listed home price has grown by 39.1% compared with June 2019, while the price per square foot grew by 52.6%.
While the percentage of homes with price reductions increased from 14.1% in June of last year to 18.3% this year, the overall share of inventory is a little higher (+1.3pp) with the shares seen between June 2017 to June 2019.
In June, listing prices fell on a year-over-year basis in the South (-1.8%), where competitive home inventory has grown the most, but prices continued to increase in the Northeast (+5.6%), Midwest (3%), and West (+1.4%) compared with the same time last year. Controlling for the mix of homes on the market by looking at price-per-square-foot, prices in all regions showed greater growth rates of 2.6% to 7.2%. Among large metros, the median list price in Cleveland (+14.7%), Philadelphia (+11.3%), and Rochester (+9.3%) saw the biggest increases.
Meanwhile, all 50 large metropolitan areas have seen sizable price growth compared with homes listed before the pandemic. Compared with June 2019, the price per square foot growth rate in the largest 50 metros ranged from 24.4% to 81.9%. The markets where sellers saw the greatest increase in price per square foot included the New York metro area (+81.9% vs June 2019), Boston (+67.7%), and Tampa (+67.7%). Markets which saw the lowest return included San Jose (+24.4%), Baltimore (+24.6%), and New Orleans (+25.5%).
The share of price reductions was up compared with last year in the South (+5.1 percentage points), West (+4.5 percentage points), Midwest (+2.6 percentage points), and Northeast (+2.1 percentage points). Forty-seven of the 50 largest metros saw the share of price reductions increase compared with last June, up from 46 in May. Tampa saw the greatest increase (+10.9 percentage points), followed by Jacksonville (+9.7 percentage points), and Denver (+9.7 percentage points).
Midwest | 21.5% | 0.7% | 3.0% | 4.3% | -1 | 2.6 pp |
Northeast | 12.5% | 2.1% | 5.6% | 7.2% | -4 | 2.1 pp |
South | 48.9% | 7.6% | -1.8% | 2.6% | 5 | 5.1 pp |
West | 35.8% | 9.8% | 1.4% | 4.8% | 3 | 4.5 pp |
Midwest | -48.6% | -29.5% | 41.6% | 45.9% | -10 | -2.2 pp |
Northeast | -57.1% | -32.7% | 54.1% | 65.0% | -15 | -5.9 pp |
South | -17.2% | -14.9% | 35.1% | 53.2% | -8 | 4.2 pp |
West | -22.8% | -29.5% | 38.7% | 48.9% | -1 | 2.4 pp |
$425,000 | -2.9% | 1.7% | 30.8% | 52.6% | |
$550,000 | -5.2% | -2.1% | 49.1% | 62.4% | |
$369,900 | 1.3% | 0.8% | 8.8% | 24.6% | |
$301,900 | 0.7% | 1.3% | 13.1% | 26.5% | |
$879,000 | 1.4% | 5.9% | 46.5% | 67.7% | |
$299,900 | 8.0% | 7.2% | 34.9% | 46.6% | |
$441,170 | 0.0% | 3.5% | 23.1% | 56.5% | |
$399,900 | 4.5% | 5.8% | 19.4% | 32.4% | |
$379,900 | -2.6% | 3.9% | 33.3% | 51.3% | |
$285,000 | 14.7% | 14.4% | 35.8% | 32.4% | |
$400,000 | 0.1% | 5.0% | 23.3% | 53.5% | |
$459,000 | -3.0% | 0.5% | 27.8% | 45.1% | |
$639,000 | -6.0% | 1.4% | 24.1% | 46.7% | |
$275,000 | 1.9% | 2.3% | 5.0% | 26.0% | |
$449,900 | 3.6% | 12.5% | 47.6% | 64.5% | |
$372,900 | -1.4% | -0.1% | 15.5% | 38.3% | |
$352,495 | 0.7% | 3.9% | 25.9% | 56.4% | |
$424,000 | -3.4% | -0.4% | 36.2% | 54.1% | |
$429,000 | -5.2% | -2.2% | 32.0% | 47.9% | |
$484,988 | 6.6% | 7.6% | 49.3% | 56.2% | |
$1,249,000 | 6.8% | 6.5% | 51.4% | 55.1% | |
$342,952 | 5.5% | 2.1% | 19.5% | 41.4% | |
$349,000 | 6.7% | 2.0% | 51.7% | 63.8% | |
$535,000 | -11.5% | -8.4% | 33.8% | 47.9% | |
$400,000 | 5.3% | 5.3% | 42.9% | 43.0% | |
$460,000 | 0.0% | 2.2% | 28.6% | 36.0% | |
$575,000 | -2.7% | 3.9% | 52.1% | 66.7% | |
$335,000 | -2.9% | -2.5% | 15.5% | 25.5% | |
$789,000 | 5.3% | 8.6% | 34.9% | 81.9% | |
$335,000 | -4.3% | 0.3% | 30.9% | 44.7% | |
$445,000 | -3.1% | -0.1% | 39.1% | 55.1% | |
$395,000 | 11.3% | 9.0% | 36.3% | 54.8% | |
$539,900 | 0.0% | -0.2% | 42.1% | 55.3% | |
$259,900 | 8.3% | 10.8% | 30.0% | 31.1% | |
$625,000 | -2.3% | 2.0% | 30.5% | 41.5% | |
$599,000 | 8.9% | 8.8% | 55.6% | 47.7% | |
$470,000 | -1.9% | 3.3% | 25.0% | 52.7% | |
$475,000 | 7.4% | 5.9% | 41.8% | 58.1% | |
$615,000 | 6.0% | 5.3% | 46.5% | 61.9% | |
$299,900 | 9.3% | 10.4% | 30.4% | 39.7% | |
$679,000 | 0.0% | 4.2% | 35.5% | 40.3% | |
$349,000 | -5.0% | -2.2% | 18.3% | 39.3% | |
$1,048,944 | -4.0% | 5.5% | 45.7% | 64.2% | |
$998,000 | -13.2% | -6.3% | 4.0% | 28.5% | |
$1,441,979 | -3.7% | -1.3% | 22.7% | 24.4% | |
$795,000 | -3.6% | 0.3% | 29.3% | 48.5% | |
$314,900 | 8.8% | 5.7% | 34.1% | 32.8% | |
$425,000 | -4.5% | -0.7% | 49.1% | 67.7% | |
$399,000 | 1.0% | 5.1% | 35.3% | 45.2% | |
$632,004 | -1.9% | 6.5% | 30.3% | 59.8% |
58.6% | 13.5% | 38 | -1 | 22.5% | 9.0 pp | |
31.8% | 1.5% | 50 | 6 | 31.0% | -2.6 pp | |
29.4% | 2.1% | 31 | -5 | 15.0% | 4.2 pp | |
40.2% | 2.1% | 45 | 3 | 16.9% | 4.6 pp | |
23.1% | 6.9% | 25 | 1 | 15.1% | 3.0 pp | |
10.0% | 8.7% | 22 | -8 | 8.7% | 1.7 pp | |
49.3% | 13.9% | 36 | -2 | 21.0% | 8.4 pp | |
5.8% | 0.3% | 25 | -9 | 11.4% | 1.6 pp | |
30.4% | 9.5% | 29 | -1 | 14.5% | 4.2 pp | |
5.6% | 1.3% | 31 | -6 | 12.9% | 2.4 pp | |
32.3% | 3.9% | 25 | 3 | 20.1% | 5.6 pp | |
52.3% | 10.4% | 40 | 4 | 28.1% | 7.4 pp | |
77.9% | 7.6% | 30 | 2 | 29.8% | 9.7 pp | |
10.3% | -2.7% | 31 | 1 | 11.8% | -2.4 pp | |
6.4% | -1.7% | 17 | -1 | 6.4% | 0.5 pp | |
39.7% | 17.4% | 40 | 0 | 19.9% | 3.6 pp | |
28.8% | -6.2% | 35 | -1 | 22.9% | 5.8 pp | |
69.6% | 21.8% | 52 | 7 | 28.4% | 9.7 pp | |
23.9% | 5.1% | 44 | -6 | 15.9% | 3.9 pp | |
-29.5% | 15.5% | 38 | -6 | 18.4% | 4.8 pp | |
36.9% | 11.2% | 37 | -2 | 12.1% | 3.3 pp | |
28.7% | 6.3% | 31 | 2 | 16.7% | 3.6 pp | |
53.3% | 8.7% | 49 | 6 | 22.7% | 6.5 pp | |
67.7% | 12.7% | 67 | 5 | 18.2% | 5.5 pp | |
20.6% | -3.5% | 30 | 1 | 9.6% | 0.9 pp | |
21.8% | -6.3% | 28 | -4 | 13.7% | 2.4 pp | |
20.0% | 6.0% | 31 | -3 | 25.3% | 4.8 pp | |
28.6% | -0.4% | 61 | 3 | 21.8% | 1.5 pp | |
3.1% | -1.5% | 45 | -5 | 8.6% | 0.4 pp | |
38.7% | 11.4% | 45 | 0 | 22.1% | 6.8 pp | |
81.5% | 14.7% | 52 | 6 | 23.0% | 8.0 pp | |
10.8% | 1.6% | 38 | -7 | 13.1% | 1.5 pp | |
56.4% | 5.6% | 50 | 14 | 28.2% | 8.3 pp | |
14.1% | 4.8% | 44 | -3 | 16.2% | 1.9 pp | |
34.6% | -0.9% | 40 | 7 | 19.7% | 3.3 pp | |
22.9% | 9.3% | 23 | -9 | 9.5% | 3.1 pp | |
40.4% | 16.6% | 36 | -7 | 18.7% | 6.4 pp | |
39.5% | 5.7% | 36 | -2 | 11.3% | 4.2 pp | |
43.9% | 10.4% | 45 | 1 | 16.2% | 4.3 pp | |
3.1% | -2.1% | 17 | 5 | 3.9% | -3.5 pp | |
45.9% | 8.7% | 33 | 1 | 18.9% | 6.6 pp | |
48.6% | 21.8% | 50 | 4 | 26.3% | 3.2 pp | |
72.5% | 20.6% | 30 | -2 | 16.4% | 5.7 pp | |
39.5% | 11.3% | 29 | -3 | 13.3% | 3.2 pp | |
53.5% | 26.5% | 20 | -9 | 9.4% | 1.4 pp | |
61.9% | 30.5% | 24 | -5 | 15.6% | 3.1 pp | |
20.6% | 0.7% | 37 | -2 | 13.6% | 3.5 pp | |
93.1% | 18.1% | 53 | 8 | 29.8% | 10.9 pp | |
27.9% | 1.3% | 31 | 2 | 18.1% | 6.4 pp | |
27.2% | 8.3% | 29 | -3 | 12.9% | 3.8 pp |
* Note: Some metrics for the Las Vegas, Phoenix, and Rochester metro areas are under review and unavailable.
Realtor.com housing data as of June 2024. Listings include the active inventory of existing single-family homes and condos/townhomes/row homes/co-ops for the given level of geography on Realtor.com; new construction is excluded unless listed with an MLS that provides listing data to Realtor.com. Realtor.com data history goes back to July 2016. The 50 largest U.S. metropolitan areas as defined by the Office of Management and Budget (OMB-202003).
* Note that not all listing sources report sales of a home to Realtor.com, so in order to calculate an accurate estimate of delisted homes, we use a subset of counties where consistent sales of listings is reported. As such, our estimates of total inventory when calculating delistings will be different from our overall estimates of inventory. While different, the national trend in delisting activity should be more accurate than estimates based on a sample that includes sources that lack, or are inconsistent in, reporting sold listings.
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Leaders note lack of understanding, business strategy, sufficient data and regulation preparedness as concerns; data privacy, security and governance are primary challenges.
Generative AI is here to stay. Organizations around the world are enthusiastically using and investing in the technology. But what regions and countries are leading in the use of GenAI? China is in the lead according to a recent global study SAS commissioned with Coleman Parkes Research Ltd. China business decision makers report that 83% of their organizations are using the technology. That’s more than in the United Kingdom (70%), the United States (65%) and Australia (63%). But organizations in the United States are ahead in terms of maturity and having fully implemented GenAI technologies at 24% compared to China’s 19%, and the United Kingdom’s 11%.
What does this mean in terms of the global economic impact of AI and GenAI? In a 2023 report, McKinsey estimated GenAI could add the equivalent of $2.6 trillion to $4.4 trillion annually across a variety of use cases. That’s comparable to the entire GDP of the United Kingdom in 2021. This impact would increase the overall influence of artificial intelligence by 15% to 40%.
Considering these economic implications, SAS and Coleman Parkes targeted 1,600 decision makers across key global markets. Respondents work in a range of industries including banking, insurance, the public sector, life sciences, health care, telecommunications, manufacturing, retail, energy and utilities, and professional services. The smallest organizations surveyed employed a workforce of 500 - 999 people, and the largest employed more than 10,000.
Learn more in the full research report and an interactive data dashboard .
“While China may lead in GenAI adoption rates, higher adoption doesn't necessarily equate to effective implementation or better returns,” said Stephen Saw, Managing Director at Coleman Parkes. “In fact, the US nudges ahead in the race with 24% of organizations having fully implemented GenAI compared to 19% in China.”
Highlights from the global survey results include indicators that signal different regions are on board and starting to adopt GenAI in meaningful ways but at different rates.
“With any new technology, organizations must navigate a discovery phase, separating hype from reality, to understand the complexity of real-world implementations in the enterprise. We have reached this moment with generative AI,” said Bryan Harris, Executive Vice President and CTO at SAS. “As we exit the hype cycle, it is now about purposefully implementing and delivering repeatable and trusted business results from GenAI.”
Where do regions rank in fully using and implementing generative AI into their organization’s processes?
Which regions have implemented GenAI use policies?
To what extent do those planning to invest in GenAI in the next financial year have a dedicated budget?
Note: North America comprise the United States and Canada; LATAM includes Brazil and Mexico; Northern Europe includes United Kingdom/Ireland, Sweden, Norway, Finland, Denmark; South West and Eastern Europe is France, Germany, Italy, Benelux, Spain and Poland; and APAC encompasses Australia, China, Japan and the United Arab Emirates/Saudi Arabia.
Sabine VanderLinden, CEO and Venture Partner, Alchemy Crew, sees much potential for industries investing in GenAI. “The future of business is being reshaped by generative AI,” she said. “Indeed, the integration of GenAI into business processes – from dynamic profiling in marketing to precision claims insurance – offers unparalleled opportunities for efficiency, personalization, and strategic foresight. Embracing this technology is essential for staying ahead in a highly uncertain and unpredictable competitive market.”
When split into industry segments, the data shows banking and insurance leading other industries in terms of incorporating GenAI into daily business operations across a variety of metrics. Highlights from those findings are below.
How do specific industries rank in terms of fully implementing GenAI and fully implementing it into regular business processes?
Which industries indicate they already use GenAI daily to some extent?
Which departments inside organizations are using or planning to use GenAI?
No. 1 on the list of challenges organizations face in putting GenAI to routine use is the lack of a clear GenAI strategy.
Only 9% of leaders responding to the survey indicate they are extremely familiar with their organization’s adoption of GenAI. Of respondents whose organizations that have fully implemented GenAI, only 25% say they are extremely familiar with their organization’s GenAI adoption strategy. Even those decision makers responsible for technology investment decisions aren’t familiar with AI – including those at organizations that are ahead of the adoption curve.
Nine out of 10 senior technology decision makers overall admit they don’t fully understand GenAI and its potential to affect business processes. At 45%, CIOs lead the way with executives who understand their organization’s AI adoption strategy. But only 36% of Chief Technology Officers (CTOs) say they’re fully in the know.
Yet despite this understanding gap, most organizations (75%) say they have set aside budgets to invest in GenAI in the next financial year.
Other challenges organizations face include:
Although there are obstacles, some early adopters have experienced meaningful benefits already: 89% report improved employee experience and satisfaction; 82% say they’re saving operational costs; and 82% state customer retention is higher.
Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW ® .
Nate Anderson, the chief mind behind activist short-seller Hindenburg Research, has had an eventful past 18 months.
In January 2023, he accused the Indian conglomerate owned by Gautam Adani — one of the world's richest people — of fraud, subsequently wiping out $153 billion in market value from its associated companies. This led Indian regulators to his doorstep and forced him into defensive mode. A war of words has persisted ever since.
A year and a half later, the battle continues. And based on new information released by Hindenburg, one might wonder whether it was all worth it.
The firm — which describes itself as specializing in " forensic financial research " — recently disclosed that it's made just $4 million from its considerable efforts. Compared to the nine figures of market value it helped erase, and the $80 billion wiped from Adani's personal fortune, that's a drop in the bucket.
Detailed below is the considerable back-and-forth that's taken place since Hindenburg's initial shot across the bow of Adani Group. The tale that follows highlights the lengths a global conglomerate — and the regulatory body with a vested interest in keeping it afloat — will go to defend itself. It also shows the resolute nature of Anderson as he continues fighting back.
Hindenburg accused Indian business magnate Gautam Adani in 2023 of pulling off the "largest con in corporate history." It was the result of a two-year-long investigation, which found a number of financial and accounting irregularities in Adani's empire, the firm said in its 106-page report.
"Indian conglomerate Adani Group has engaged in a brazen stock manipulation and accounting fraud scheme over the course of decades," the report said. "We believe the Adani Group has been able to operate a large, flagrant fraud in broad daylight in large part because investors, journalists, citizens and even politicians have been afraid to speak out for fear of reprisal," it later added.
Hindenburg identified at least 38 shell companies closely related to Adani Group, which it said appeared to engage in stock manipulation and money laundering. It cited "numerous examples"of those companies funneling money through private companies owned by Adani, before cash was set to Adani's listed public companies.
The short-seller's investigation also found Adani's private and public companies to have "numerous" undisclosed transactions with other parties, the researchers found, which violates regulatory laws in India.
The "labyrinthian network of shells appears to serve several functions, including shuffling losses into private entities to boost reported earnings, and surreptitiously moving money to prop up entities in the group," Hindenburg said.
Adani Group was also affiliated with a number of funds that displayed "flagrant irregularities," the research firm said, such as being offshore entities, having concealed ownership information, and having portfolios being "almost exclusively" invested in Adani's firms.
One such fund, Elara, controlled another fund that was around 99% concentrated in Adani shares. That suggested to the researchers it was "obvious Adani controls the shares," the report said.
Hindenburg attached a list of 88 questions for Adani to answer, which included inquiries into the billionaire's close contacts, Adani Group executives, and investigations into the company by regulators.
"If Gautam Adani embraces transparency, as he claims, they should be easy questions to answer," the report said.
Nursing deep stock losses, Adani Group hit back with its own 413-page response , calling Hindenburg's original report "nothing but a lie."
"We are shocked and deeply disturbed to read the report published by the 'Madoffs of Manhattan,'" the reply said, referring to Hindenburg.
"The document is a malicious combination of selective misinformation and concealed facts relating to baseless and discredited allegations to drive an ulterior motive," it added.
The firm disclosed information on its accounting practices and professional relationships, while disputing many of the claims in the Hindenburg report.
Transactions that were identified as suspicious by Hindenburg's team were in compliance with local laws and accounting standards, it said. Offshore companies and funds mentioned in Hindenburg's report were merely public shareholders in Adani-listed companies, the retort added.
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"A listed entity does not have control over who buys/sells/owns the publicly traded shares or how much volume is traded, or the source of funds for such public shareholders nor it is required to have such information for its public shareholders under the laws of India. Hence we cannot comment on trading pattern or behavior of public shareholders," Adani's report said.
The firm also criticized Hindenburg for its financial stake in releasing the report, calling the firm an "unethical short seller" and guilty of a "flagrant breach of applicable securities and foreign exchange laws."
"This is rife with conflict of interest and intended only to create a false market in securities to enable Hindenburg, an admitted short seller, to book massive financial gain through wrongful means at the cost of countless investors," it said.
Hindenburg issued a reply to Adani on the same day, denying any wrongdoing from its original report. They argued that Adani Group's reply failed to answer most of their questions. The conglomerate also didn't dispute the existence of certain "suspect" transactions, nor did it explain "their obvious irregularities," researchers added.
"We also believe that fraud is fraud, even when it's perpetrated by one of the wealthiest individuals in the world," Hindenburg Research said in its reply.
Adani Group eventually lawyered up and readied for a fight, though the damage had already been done. In less than a week, Adani, known as the world's third richest man, saw his personal wealth plummet by $52 billion.
Indian regulators have raised specific questions about the structure of Hindenburg's short bet on Adani Group. The Securities and Exchange Board of India — the country's version of the SEC — sent a notice to Hindenberg in June 2024, raising questions about the nature of the report and the firm's relationship with Kingdon Capital Management, a New York hedge-fund involved in building a short position against Adani Group.
Hindenburg's initial report was described to be "misleading" and have contained "inaccurate statements."
"These misrepresentations built a convenient narrative through selective disclosures, reckless statements, and catchy headlines, in order to mislead readers of the report and cause panic in Adani Group stocks, thereby deflating prices to the maximum extent possible and profit from the same," the notice read.
Regulators also revealed that Hindenburg had shared its research with Kingdon prior to publication. The two companies had a profit-sharing agreement, the notice says, with Hindenburg set to get 25% of Kingdon's profits for the short bet.
Kingdon ended up making $22.3 million on the bet, $5.5 million of which is owed Hindenburg. $4.1 million of that had been paid as of the start of June, the document shows.
Hindenburg shrugged off the letter as "nonsense," and an attempt to ward off whistleblowers who expose corruption among the country's most powerful people and companies.
"One might think that a securities regulator would be interested in meaningfully pursuing the parties that ran a secret offshore shell empire engaging in billions of dollars of undisclosed related party transactions through public companies while propping up its stocks through undisclosed share ownership via a network of sham investment entities," Hindenburg said in its reply.
It added: "Instead, SEBI seems more interested in pursuing those who expose such practices."
Backlash is nothing new to Anderson, who's targeted other high-profile financiers and began sniffing out wrongdoers on Wall Street long before he launched Hindenburg Research in 2017.
This decade alone he's been instrumental in weeding out companies in the electric-vehicle industry. His work on Nikola led to fraud charges against its founder, and he also called out now-defunct Lordstown Motors for hyping up commercial interest in its product.
More recently he took aim at activist investor Carl Icahn and his famed operation, Icahn Enterprises.
"Find[ing] scams" has been a life-long passion, he told the New York Times in a 2021 interview , adding that he had spent hours off-the-clock looking into potential schemes, to the chagrin of some of his former bosses.
"I didn't plan it this way," he told the Times. "It was a side hobby that my employers were sometimes annoyed by."
Fraud-finding is one of his top goals of 2024, he wrote in a post on X in January.
"My 2023 New Years professional resolution is to work with our @HindenburgRes team to expose some of the biggest frauds and financial charlatans in the world," Anderson wrote. "I am very confident we will achieve this goal."
Discretionary spending levels to remain under pressure.
As in other areas of offline retailing, the highly inflationary climate over the past 18 months (2022-2023), along with rising interest rates implemented by the Reserve Bank of New Zealand, which increased mortgage and rent costs, hampered the demand for goods through direct selling in 2023. Many consumers were forced to prioritise essentials or immediate need products as household budgets and disposable income levels came under stronger pressure.
Consumer shopping preferences are expected to continue to evolve over the forecast period, with online shopping set to be a key channel for shoppers. Retail e-commerce is making products increasingly accessible to local consumers, allowing them to shop whenever and wherever they want.
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Understand the latest market trends and future growth opportunities for the Direct Selling industry in New Zealand with research from Euromonitor International's team of in-country analysts – experts by industry and geographic specialisation.
Key trends are clearly and succinctly summarised alongside the most current research data available. Understand and assess competitive threats and plan corporate strategy with our qualitative analysis, insight and confident growth projections.
If you're in the Direct Selling industry in New Zealand, our research will help you to make informed, intelligent decisions; to recognise and profit from opportunity, or to offer resilience amidst market uncertainty.
Key data findings, direct selling’s performance is dampened as cost-of-living pressures bite and shopping behaviours change, online shopping cannibalises direct selling, retail in new zealand - industry overview, retail in 2023: the big picture, retail crime a major talking point in the run-up to the 2023 general election, retail e-commerce slows as expected, what next for retail, informal retail, opening hours for physical retail, seasonality, end of financial year sale, the following categories and subcategories are included:, direct selling.
Direct selling is the marketing of consumer goods directly to consumers, generally in their homes or the homes of others, at their workplace, and other places away from permanent retail locations. Direct selling occurs in two primary ways: On a one-to-one basis (usually by prior arrangement a demonstration is given by a direct seller to a customer) or on a party-plan basis (selling through explanation and demonstration of products to a group of prospective customers by a direct seller usually in the home of a host(ess) who invites other persons for this purpose). Avon stands as a prime example of a direct seller using one-to-one selling, whereas Tupperware is famous for its party-plan method. Direct selling of services - such as insurance, telecoms, other utilities, and financial services - are excluded.
This report originates from Passport, our Direct Selling research and analysis database.
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