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We recently compiled a list of the Goldman Sachs’ Best Hedge Fund Stock Picks: Top 20 Stocks. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against Goldman Sachs’ other hedge fund stock picks.
The close of August has marked a highly awaited paradigm shift on Wall Street that investors have been wishing for months. This shift comes after Federal Reserve Chairman Jerome Powell finally admitted that the time for interest rate cuts had come. Investors rejoiced and the flagship S&P index gained 1.15% while the Dow’s blue chip stock index added 1.14% to its value.
Before the Fed chair’s remarks, investment bank Goldman Sachs had already taken a detailed look at the implications of interest rate cuts on the stock market. In a podcast, the bank’s trading strategy head Josh Schiffrin started by explaining that the prospect of the Fed reducing rates was linked “very closely to the performance of short-term bonds.” He however added that it’s “really been bonds that have been responsive, where the story has been quite clear,” pointing out that “the stock market has been range bound and choppy with a fair amount of rotation between different sectors” which leads to index level moves being “muted.” This makes sense when we consider the Dow and S&P’s movements following Powell’s latest comments, as the one percentage point gain for each indicated that investors were well prepared for rate cuts even before the Fed Chair took the stand.
Speaking of the flagship S&P index, GS’ head of American Equity Sales Trading John Flood shared some insights at the June close. Starting off by highlighting the drives of the index’s performance during the first half of the year, Flood outlined that when it came to hedge funds, artificial intelligence and GLP-1 were the two key trends that had driven index returns. He described it as “a long momentum trade” with “both cohorts” of the hedge fund side, namely the “systemic and fundamental long-short” fully involved in trading.
The Goldman equity head also added that retail investors were finally back as well, and they were focused on “focused on the ten biggest stocks in the world.” You can see which companies these might be by reading 20 Largest Companies in the World by Market Cap in 2024. One key concern among investors and analysts alike this year has been a bifurcation in market returns that has seen only the best performers yield most of the rewards. This was also on the mind of analysts from another well known Wall Street bank, who added that it created an opportunity for further profits. Flood shared that while five stocks accounted for “60% of S&P 500’s return year to date,” this sharp divide did not make him uncomfortable.
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The investor flood of optimism surrounding AI, which has pushed the shares of the top AI GPU designer in the world to post an unbelievable 321,150% in all time returns, has also led to worries that the market might be witnessing another period akin to the ill fated dotcom era of the 1990s. When asked whether this period reminded him of that time, Flood replied that his firm felt “a little bit more like 1995 than 1999. And 1995 clearly was a very positive year for the stock market and a positive run,” particularly since “valuations and earnings from market leaders are way friendlier today than they were in 1999.” Concluding by sharing that he felt “very bullish” the analyst also forecast his estimate for the flagship S&P. His estimate? Well, Flood believes that “you could see S&P 500 trade well north of 6,000 this year as the biggest get bigger and we continue to just see a little bit of a news vacuum into the elections right now.”
The bit about market bifurcation between big and small companies was also on the mind of GS’ senior US portfolio strategist Ben Snider. He commented on the jump in small cap stocks in July when they gained as much as 2% while other indexes lost up to 1.98% due to investors positioning themselves for potential interest rate cuts. Snider explained that small cap stocks tend to take on more debt, and lower rates coupled with their lower market values lead to big gains. According to him “if just 1% of assets comes out of the S&P 500 and flows into, for example, the Russell 2000 Small Cap Index, that 1% of S&P 500 market cap would represent more than 15% of Russell 2000 market cap.” Coming back to AI, the Goldman strategist has a tip for those who might be worried that the hype surrounding AI might be more than the technology’s ability to generate money for the firms that plan to plow a trillion dollars into it. He shared that as opposed to the market cap weighted benchmark S&P, it might be prudent to invest in the equal weight variant “if you are concerned about the degree of concentration or AI investment.”
Speaking of AI, GS was also out with a detailed report in July which analyzed the year to date returns of different AI sectors. The AI stack, broadly speaking, is made up of four categories of firms. Starting from the bottom of the pyramid and moving upwards, these are chip manufacturers and designers, those that provide AI capacity like server farms, firms that sell AI products, and finally, companies that will see the largest gains from the ubiquitous or near ubiquitous adaptation of AI. As per GS, the year to date returns of these four sectors as of late July were 139% (represented only by the top AI GPU stock), 22%, -2%, and 2% respectively. One of the strongest performers within the AI infrastructure segment is utilities, and there’s further room ahead as analyst Ryan Hammond believes that “after adjusting valuations for the improvement in long- term EPS growth expectations that the sector has experienced, Utilities’ PEG (P/E to long term growth (LTG)) ratio is 2x, well below the historical average of 3x.”
So, with GS taking a broad view of the market, we decided to see which hedge fund stocks the bank is a fan of.
To make our list of Goldman Sachs’ top hedge fund stocks, we ranked the bank’s list of stocks with the number of hedge funds that, according to its data, had the stock as a top ten holding.
We also mentioned the total number of hedge funds that had bought these stocks as per Insider Monkey’s data. Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).
A close-up of a colorful high-end graphics card being plugged in to a gaming computer.
NVIDIA Corporation (NASDAQ:NVDA)
Number of Hedge Fund Investors in Q2 2024: 179
GS’ Number Of Funds: 41
NVIDIA Corporation (NASDAQ:NVDA) is the world’s leading GPU designer. It provides the chips for enterprise computing (including AI), consumer gaming, assisted driving, and other use cases. NVIDIA Corporation (NASDAQ:NVDA)’s GPU performance boosted by its design strengths has pushed it right to the top of the AI hardware supply chain. The firm’s GPUs are the most highly sought products in the market, and they provide NVIDIA Corporation (NASDAQ:NVDA) with significant pricing power. At the same time, all eyes remain on the firm for consistent upgrades, and it might struggle if it fails to launch new products. This has been evident in 2024, with multiple reports having claimed that NVIDIA Corporation (NASDAQ:NVDA)’s leading edge Blackwell chips are facing delays. Its CUDA software is another advantage since it enables users to fully control their GPUs. However, high GPU prices could incentivize NVIDIA Corporation (NASDAQ:NVDA)’s big ticket customers to design their own products and reduce the demand for its chips. Furthermore, if Wall Street decides that AI monetization is not worth the billions of dollars being spent, then the stock could see headwinds.
Baron Funds mentioned NVIDIA Corporation (NASDAQ:NVDA) in its Q2 2024 investor letter. Here is what the firm said:
“More recently, however, we’ve entered the period of doubts and questioning, some of which is real and normal in the first stages of a new paradigm, and some of which is prompted by short sellers. Given the explosive returns of NVIDIA and other AI leaders, AI bears and fear mongers have been comparing the current AI market winners with the internet bubble of the late 1990s/early 2000s, and NVIDIA’s stock move today with Cisco’s back then. First, while many stocks were trading at nosebleed valuations and on made up metrics (such as price per eyeballs) before the bursting of the internet bubble, as we’ve said many times, the internet proved to transform our world and create the digital age we are now living in. Second, while NVIDIA’s stock price inflection has been nothing short of unprecedented for a company of its size, it was fueled almost entirely by explosive growth in revenues, earnings, and cash flows– not multiple expansion. Over the last 12 months, NVIDIA’s stock has eectively tripled, but its forward P/E multiple has remained essentially flat, because NVIDIA blew away Wall Street expectations despite being covered by over 60 sell-side analysts, who have increased their forward projections every single quarter. In my career, the only comparative analogue is when Apple first introduced the iPhone and stunned Wall Street with its growth. In contrast, most of Cisco’s move in the late 1990s was due to multiple expansion. At its peak, Cisco traded at a P/E ratio over 130 times, more than quadruple its five-year average of 37 times. At the end of the second quarter, NVIDIA traded at a P/E ratio of 40 times, equal to its five-year average, and at a P/E to growth (or PEG) ratio for 2025 of 0.8 times, as consensus expectations are for NVIDIA to grow earnings per share 40% next year.
Moreover, investor concerns have arisen about the financial impact AI is having and whether surging capital expenditures (capex) across the technology landscape, particularly the large cloud players (Microso, Google, Amazon, and Meta), known as the hyperscalers, will be justified and earn reasonable returns on invested capital (ROIC). First, the adoption and penetration of new technology typically traces a classic S-curve–or more precisely, in our view, a series of S-curves or phases. For at least the past year and a half, we’ve been in what might be called the AI infrastructure- build phase – building the AI factories, as NVIDIA CEO Jensen Huang has articulated it, and this phase has been dominated by the infrastructure- layer players – the accelerated computing chips suppliers like NVIDIA and Broadcom, as well as data center, cloud infrastructure and energy companies. The hyperscalers, other enterprises, and sovereign entities investing ahead understand that if you want to be in the AI game, you must invest now – build the infrastructure, build the factories – or else you’ll find yourselves disrupted on the sidelines or playing catch up in the biggest game, the most important race in a technology generation. Only those who invest today even have the chance to be the winners of the future.”
Overall NVDA ranks 6th on our list of Goldman Sachs’ hedge fund stock picks. While we acknowledge the potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than NVDA but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
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