Connect with us

Finance

Experts push back on Goldman Sachs' forecast for low returns

Published

on

Experts push back on Goldman Sachs' forecast for low returns

A version of this post first appeared on TKer.co

Goldman Sachs’ that the S&P 500 will deliver 3% annualized nominal total returns over the next 10 years has gotten a lot of attention. (Read TKer’s view and .)

I think Ben Carlson of Ritholtz Wealth Management it best: “It’s rare to see such low returns over a 10 year stretch but it can happen. Roughly 9% of all rolling 10 year annual returns have been 3% or less… So it’s improbable but possible.”

Investors would probably love to hear a more decisive view. But , and these kinds of imprecise assessments are the best we can do as we manage our expectations.

That said, last week came with a lot of Wall Streeters pushing back on Goldman’s forecast.

Advertisement

JPMorgan Asset Management (JPMAM) expects large-cap U.S. stocks to “return an annualized 6.7% over the next 10-15 years,” .

“I feel more confident in our numbers than theirs over the next decade,” JPMAM’s David Kelly . “But overall, we think that American corporations are extreme — they’ve got sharp elbows and they are very good at growing margins.“

.

Expectations for , , and have been hot topics lately. They’re trends that Ed Yardeni of Yardeni Research also expects to drive stock prices higher for years to come.

“In our opinion, even Goldman’s might not be optimistic enough,” Yardeni . “If the productivity growth boom continues through the end of the decade and into the 2030s, as we expect, the S&P 500’s average annual return should at least match the 6%-7% achieved since the early 1990s. It should be more like 11% including reinvested dividends.”

Advertisement

“In our view, a looming lost decade for U.S. stocks is unlikely if earnings and dividends continue to grow at solid paces boosted by higher profit margins thanks to better technology-led productivity growth,” Yardeni said.

Datatrek Research co-founder Nicholas Colas is encouraged by where the stock market stands today and where it could be headed.

“The S&P 500 starts its next decade stacked with world class, profitable companies and there are more in the pipeline,” Colas wrote on Monday. “Valuations reflect that, but they cannot know what the future will bring.“

He believes “the next decade will see S&P returns at least as strong as the long run average of 10.6%, and possibly better.“

Colas noted that historical cases of

Advertisement

“History shows that 3% returns or worse only come when something very, very bad has occurred,” Colas said. “While we are relying on press accounts of Goldman’s research, we have read nothing that outlines what crisis their researchers are envisioning. Without one, it is very difficult to square their conclusion with almost a century of historical data.“

Because of the way Wall Street research is distributed and controlled, not everyone is able to access every report, including experts who may be asked to respond to them.

Goldman shared the report with TKer. Regarding the issue Colas flagged, Goldman does discuss those catalysts but actually highlights them as .

That said, very bad things have happened in the past, and they could happen again in the future. And those events could cause stock market returns to be poor.

Advertisement

“Forecasting one form of economic disaster or another over the next 10 years is not much of a reach; you will be hard-pressed to think of any decade where some economic calamity or another didn’t befall the global economy,” Barry Ritholtz of Ritholtz Wealth Management . “But that’s a very different discussion than 3% annually for 10 years.”

This leads me to my conclusion: It is very difficult to predict with any accuracy what will happen in the next 10 years. in their report. There are good cases to be made for weak returns as well as strong returns as argued by Yardeni and Colas.

Who will be right? We’ll only know in hindsight.

Generally speaking, I’m of the mind that the because we have a , and earnings are the . And there’s never been a challenge the economy and stock market couldn’t overcome. After all, .

“I have no idea what the next decade will bring in terms of S&P 500 returns, but neither does anyone else,” Ritholtz . “I do believe that the economic gains we are going to see in technology justify higher market prices. I just don’t know how much higher; my sneaking suspicion is one percent real returns over the next 10 years is way too conservative.”

Advertisement

There were a few notable data points and macroeconomic developments from last week to consider:

Card spending data is holding up. From JPMorgan: “As of 15 Oct 2024, our Chase Consumer Card spending data (unadjusted) was 1.5% above the same day last year. Based on the Chase Consumer Card data through 15 Oct 2024, our estimate of the U.S. Census October control measure of retail sales m/m is 0.69%.“

From BofA: “Total card spending per HH was up 1.9% y/y in the week ending Oct 19, according to BAC aggregated credit & debit card data. Spending growth has recovered in the sectors that were most impacted by Hurricane Milton, e.g. clothing, furniture & transit. Even beyond these sectors, we saw broad-based increases in spending growth in the week ending Oct 19.“

Unemployment claims tick lower. declined to 227,000 during the week ending October 19, down from 242,000 the week prior. This metric continues to be at levels historically associated with economic growth.

Consumer vibes improve. From the University of Michigan’s : “Consumer sentiment lifted for the third consecutive month, inching up to its highest reading since April 2024. Sentiment is now more than 40% above the June 2022 trough. This month’s increase was primarily due to modest improvements in buying conditions for durables, in part due to easing interest rates.”

Advertisement

Home sales fall. decreased by 1% in September to an annualized rate of 3.84 million units. From NAR chief economist Lawrence Yun: “There are more inventory choices for consumers, lower mortgage rates than a year ago and continued job additions to the economy. Perhaps, some consumers are hesitating about moving forward with a major expenditure like purchasing a home before the upcoming election.”

Home prices cooled. Prices for previously owned homes declined from last month’s levels, but they remain elevated. From the : “The median existing-home price for all housing types in September was $404,500, up 3.0% from one year ago ($392,700). All four U.S. regions registered price increases.”

New home sales rise. jumped 4.1% in September to an annualized rate of 738,000 units.

Mortgage rates tick higher. According to , the average 30-year fixed-rate mortgage rose to 6.54%, up from 6.44% last week. From Freddie Mac: “The continued strength in the economy drove mortgage rates higher once again this week. Over the last few years, there has been a tension between downbeat economic narrative and incoming economic data stronger than that narrative. This has led to higher-than-normal volatility in mortgage rates, despite a strengthening economy.”

There are in the U.S., of which 86 million are and of which are . Of those carrying mortgage debt, almost all have , and most of those mortgages before rates surged from 2021 lows. All of this is to say: Most homeowners are not particularly sensitive to movements in home prices or mortgage rates.

Advertisement

Offices remain relatively empty. From : “Peak day office occupancy on Tuesday fell seven tenths of a point last week to 60.7%. Most of the 10 tracked cities experienced lower peak day occupancy than the previous week, likely due to the federal holiday on Monday. Los Angeles had its highest single day of occupancy since the pandemic, up 1.9 points from the previous Tuesday to 56.3%. The average low across all 10 cities was on Friday at 31.9%, down eight tenths of a point from the previous week.“

CEOs are less optimistic. The Conference Board’s in Q4 2024 signaled cooling optimism. From The Conference Board’s Dana Peterson: “CEO optimism continued to fade in Q4, as leaders of large firms expressed lower confidence in the outlook for their own industries. Views about the economy overall—both now and six months hence — were little changed from Q3. However, CEOs’ assessments of current conditions in their own industries declined.

Moreover, the balance of expectations regarding conditions in their own industries six months from now deteriorated substantially in Q4 compared to last quarter. Most CEOs indicated no revisions to their capital spending plans over the next 12 months, but there was a notable increase in the share of those expecting to roll back investment plans by more than 10%.“

Survey signals growth. From S&P Global’s : “October saw business activity continue to grow at an encouragingly solid pace, sustaining the economic upturn that has been recorded in the year to date into the fourth quarter.

The October flash PMI is consistent with GDP growing at an annualized rate of around 2.5%. Demand has also strengthened, as signalled by new order inflows hitting the highest for nearly one-and-a-half years, albeit with both output and sales growth limited to the services economy.”

Advertisement

Keep in mind that during times of perceived stress, soft data tends to be more exaggerated than actual hard data.

Business investment activity ticks higher. for nondefense capital goods excluding aircraft — a.k.a. — increased 0.5% to a record $74.05 billion in September.

Core capex orders are a , meaning they foretell economic activity down the road. While the growth rate has , they continue to signal economic strength in the months to come.

Most U.S. states are still growing. From the Philly Fed’s September report: “Over the past three months, the indexes increased in 34 states, decreased in 10 states, and remained stable in six, for a three-month diffusion index of 48. Additionally, in the past month, the indexes increased in 36 states, decreased in seven states, and remained stable in seven, for a one-month diffusion index of 58.”

Near-term GDP growth estimates remain positive. The sees real GDP growth climbing at a 3.3% rate in Q3.

Advertisement

The outlook for the stock market remains favorable, bolstered by . And earnings are the .

Demand for goods and services as the economy continues to grow. At the same time, economic growth has from much hotter levels earlier in the cycle. The economy is these days as .

To be clear: The economy remains very healthy, supported by very . Job creation . And the Federal Reserve – having – has .

Though we’re in an odd period in that the hard economic data has . Consumer and business sentiment has been relatively poor, even as tangible consumer and business activity continue to grow and trend at record levels. From an investor’s perspective, is that the hard economic data continues to hold up.

That said, analysts expect the U.S. stock market could , thanks largely due to . Since the pandemic, companies have adjusted their cost structures aggressively. This has come with and , including hardware powered by AI. These moves are resulting in positive operating leverage, which means a modest amount of sales growth — in the cooling economy — is .

Advertisement

Of course, this does not mean we should get complacent. There will — such as , , , , etc. There are also the dreaded . Any of these risks can flare up and spark short-term volatility in the markets.

There’s also the harsh reality that and are developments that all long-term investors to experience as they build wealth in the markets. .

For now, there’s no reason to believe there’ll be a challenge that the economy and the markets won’t be able to overcome over time. , and it’s a streak long-term investors can expect to continue.

A version of this post first appeared on TKer.co

Advertisement

Finance

4 Smart Ways to Use Your Tax Return for Financial Planning

Published

on

4 Smart Ways to Use Your Tax Return for Financial Planning

(Image credit: Getty Images)

In my work helping people think through retirement planning decisions, I often see people focus heavily on preparing their tax return but spend very little time reviewing it afterward.

By the time tax season ends, most people treat the document like a receipt: They file it, save a copy somewhere and move on.

Advertisement
Continue Reading

Finance

The CFO who turned Adobe’s finance department into an AI lab | Fortune

Published

on

The CFO who turned Adobe’s finance department into an AI lab | Fortune

Finance chief Dan Durn is turning Adobe’s finance organization into an early proving ground for agentic AI—using autonomous software agents to forecast results, scan contracts, and even answer hundreds of thousands of emails.

The push mirrors Adobe’s broader strategy around agentic AI. For customers, the company lets them choose models, combine them with their own data and Adobe’s, and point agents at specific business outcomes.

Internally, Durn, who is also in charge of technology, security and operations, has taken a similar approach to finance: pairing a rules-based, data-heavy function with AI, within a structure where finance, IT, and security report to one leader so pilots can move to production quickly. “Accuracy is non-negotiable,” he adds; that’s why Adobe is investing in structured data and governance so it can move fast without sacrificing precision, he says. 

The rise of AI is rapidly reshaping corporate leadership, accelerating turnover and elevating executives who can deliver fast, tangible results. Even long-tenured leaders face increasing pressure from investors to move aggressively on AI. Recent leadership changes, including the announced retirement of Adobe CEO Shantanu Narayen, highlight how little patience markets now have for perceived hesitation. At the same time, Adobe reported that annualized revenue from its AI-first products more than tripled year over year in its first quarter of fiscal 2026, which ended Feb. 27. Across Fortune 500 companies, this dynamic is creating a new internal proving ground where executives are judged by how effectively, and how quickly, they deploy AI to drive growth, efficiency, and innovation.

Using AI in finance

Inside finance, Durn groups AI use into three buckets: forecasting, anomaly detection, and general productivity.

Advertisement

For forecasting, AI uncovers patterns and signals in data that would be difficult for humans to detect quickly, he explains. Anomaly-detection agents flag performance that’s unexpectedly strong or weak—“things that can get lost in the sea of data”—so finance can intervene faster, he says.

However, Durn says the best examples now sit in productivity, citing three use cases:

1. Extracting information from PDFs

One of the most developed use cases involves “containers” of information—collections of PDFs such as investor transcripts, quarterly reports, and analyst research. Finance teams use Adobe’s PDF Spaces to load documents into a shared digital workspace and use an agentic AI assistant to surface themes, insights, and messaging cues in minutes rather than hours.

A recent Forrester TEI study found Acrobat’s agentic AI Assistant increases efficiencies in document summarization and analysis by 45%. Durn says that matters because “the world’s information lives in PDF,” and AI that turns static content into insights that can be used.

Advertisement

2. Cutting contract review time in half

Adobe is also using agentic AI to overhaul contract reviews across finance and procurement functions including revenue assurance, contract operations, product fulfillment, and vendor management. Instead of finance professionals combing through every clause, an AI assistant scans thousands of contracts, highlights provisions relevant to each function, and flags non-standard terms.

The system has cut review time roughly in half, speeding individual reviews and allowing teams to query the entire contract repository—for example, identifying which contracts include auto-cancellation features or foreign-exchange adjustment windows, Durn says. Adobe built its first prototype by April 2024 and began onboarding teams in January 2025.

3. Automating “common” inboxes

A third area is the “common inboxes” that handle high-volume internal and external email—shared addresses for sales, treasury, finance, and supplier questions. Adobe deployed an agentic AI assistant that auto-tags, prioritizes, routes, and, when criteria are met, auto-responds to emails. Typical queries include supplier billing issues or standard credit-quality questions coming into the treasury from Salesforce.

Advertisement

“In 2025 alone, the system auto-responded to about 300,000 emails across 19 inboxes, saving more than 5,000 hours of manual work and freeing teams to focus on more complex issues,” he says. The tool took about six months to build; beta teams began using it around August 2024, with full rollout in January 2025.

The payoff, he stresses, isn’t headcount cuts but the ability to scale more efficiently as Adobe grows.

Grassroots ideas, decade-long build

Durn traces these finance use cases to Adobe’s long AI journey and a bottom-up idea pipeline. The company has invested in machine learning and AI for more than a decade, initially to understand customer usage patterns and embed intelligence into products—work that laid the groundwork for generative and agentic AI.

Many of the best applications come from “reaching down into the organization” and asking employees where AI could remove friction or make their jobs easier, he says. There are more ideas than capacity, so the team prioritizes those with the greatest impact.

When deciding whether to green-light AI investments, Durn focuses on organizational velocity—the ability of back-office functions to keep pace with faster product innovation. If finance doesn’t adopt AI, he argues, it risks becoming a “rate limiter of growth.”

Advertisement

The actual spend is modest, he adds; much of the work involves change management and process redesign layered onto Adobe’s technology.

Durn’s perspective on change management coincides with new research from McKinsey. To capture the full value of AI, organizations need to go beyond “a piecemeal approach and push for a double transformation—both technical and organizational—that includes reimagining how work gets done across functions and workflows,” according to the report. While 88% of organizations surveyed are now experimenting with AI, fewer than 20% report tangible bottom-line results,, the research finds.

How AI is changing his own job

For his own workflow, Durn relies on AI primarily for insight generation. Ahead of earnings, his team loads pre-earnings research reports, Adobe filings, and peer transcripts into an AI-powered workspace to surface themes and likely investor questions.

Scripts and Q&A preparation are then run through models with guardrails to test whether messaging addresses those themes and to ask, “If I were an investor, what are my key takeaways?”

He sees it as a useful check on clarity and consistency—using AI to validate instincts and sharpen how Adobe communicates with the market.

Advertisement
Continue Reading

Finance

UST Finance Students Compete on Global Stage in CFA Research Challenge

Published

on

UST Finance Students Compete on Global Stage in CFA Research Challenge

A select team of students from the University of St. Thomas’ Cameron School of Business has officially launched its bid for the FY 2025–2026 Texas Region CFA (Certified Financial Analyst) Institute Research Challenge, a prestigious competition often referred to as the “Investment Olympics” for university students. 

The CFA Institute Research Challenge is an annual competition that provides university students with hands-on mentoring and intensive training in financial analysis. The competition tests students’ analytical, valuation, report writing and presentation skills, challenging them to take on the role of real-world research analysts. The 2025–2026 cycle involves more than 6,000 students from more than1,000 universities worldwide. 

Representing UST, the team is comprised of Team Captain Chih Jung Ting, MSF; Vice-Captain Daria Kostyukova, BBA/MSF; Reginald Paolo Laudato, BBA/MSF; Simon Wong, BBA in Finance; and Anjali Sebastian, BBA in Finance. 

Anjali Sebastian

The team of five students has been selected to conduct an exhaustive equity analysis of a target company, competing against top-tier universities from around the Texas area. 

“Taking part in the CFA Research Challenge has been the most intense and rewarding experience of my academic career,” said Chih Jung Ting, team captain. “We aren’t just reading case studies anymore—we are digging into real balance sheets, forecasting real economic shifts, and learning how to defend our ideas under pressure. It’s given us a true taste of what it means to be an analyst.” 

The team is supported by Department Chair of Economics and Finance Dr. Joe Ueng, CFA, and faculty advisor Dr. Dan Hu. Assisting the team was industry mentor Matt Caire, CFA, CFP®, CMT from Vaughan Nelson, a seasoned professional who provides guidance on the intricacies of equity research. 

Advertisement

“Our participation in the CFA Research Challenge is a testament to the caliber of our students and the strength of our curriculum,” said Dr. Ueng. “By applying advanced financial theory to a live market scenario, our students demonstrate that they are not just learners, but emerging professionals ready to contribute to the global financial community. We are incredibly proud of their dedication to academic excellence.” 

Dr. Sidika Gülfem Bayram, the Cullen Foundation Endowed Chair of Finance and UST associate professor of Finance said participating in the CFA Research Challenge this year creates a pivotal moment for UST students.  

“I’m impressed to see our students apply their curriculum knowledge to meet the depth and vast nature of the analysis required in such a fierce competition,” Dr. Bayram said. “I’m so proud of the effort the students put into the challenge.” 

This year, the team has been tasked with analyzing Green Brick Partners, a publicly traded company in the consumer cyclical sector. During the past several months, the students have dedicated more than 150 hours to conducting a deep-dive analysis of the company’s business model and industry position, interviewing company management and financial experts, building complex financial models to determine the stock’s intrinsic value, and compiling an “Initiation of Coverage” report with a buy, sell or hold recommendation. 

“Participating in the CFA Research Challenge allows our students to bridge the gap between classroom theory and the fast-paced world of investment management,” said Dr. Hu. “It demands a level of rigor and professional ethics that prepares them for the highest levels of the finance industry.” 

Advertisement

The team will presented its findings and defended its recommendation before a panel of judges from leading investment firms at the CFA Society local final in late February. Winners of the local competition will advance to the subregional and regional rounds, with the goal of reaching the global finals in May 2026. 

';

Continue Reading

Trending