How to Understand The Small-Stock Rally
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How to Understand The Small-Stock Rally

Small-caps are drubbing large ones this year. What does it mean for what’s ahead?

By Mark Hulbert
Wed, Mar 10, 2021 5:05amGrey Clock 4 min

Small stocks so far this year have beaten their large-capitalisation brethren by a wider margin than they have in more than two decades, raising questions about what is driving the outperformance and what it means for the overall market ahead.

The year-to-date return for small-caps through the end of February was a remarkable 25 percentage points greater than that of large-caps (as measured by the 20% of stocks with the smallest market caps vs. the comparative quintile of the largest). While it isn’t unexpected for small-cap portfolios to beat large-caps over time—a long-term tendency that Wall Street analysts refer to as the “size effect”—what is unusual is the magnitude of the outperformance. It has averaged just 0.9 percentage point over all two-month periods since 1926, according to data from Dartmouth professor Ken French.

You have to go back to January and February of 2000, at the top of the internet-stock bubble on Wall Street, to find a two-month stretch in which the small-caps beat the large-caps by more. Their margin of outperformance over those two months was 41 percentage points.

Any parallel to the top of the internet-stock bubble is ominous, to be sure. But there are several idiosyncrasies to small-caps’ recent performance that stand in the way of drawing any straightforward analogies to the frenzy in small stocks that heralded the 2000 tech-stock crash.

Indeed, according to several researchers, small-caps’ recent strength may actually be something else in disguise—that is, it may have to do with factors other than just size, such as the battle between growth and value stocks.

That doesn’t mean there is nothing to worry about in this bull market, where valuations are stretched thin for many stocks. But it does mean that investors who are focused solely on the small-cap/large-cap divergence could be missing the bigger picture.

Here’s why.

1. Value versus growth

One distinction that is crucial for understanding the relative strength of small-caps this year has to do with where small- and large-cap stocks lie on the growth-versus-value spectrum. Small-cap stocks currently are far closer to the value end of the spectrum than large-caps, meaning they are trading for lower prices relative to their net worth.

A stock’s place on this spectrum is defined by its ratio of price to per-share book value, with the highest ratios at the growth extreme and the lowest at the value extreme. Consider the Russell Microcap Index, which contains the smallest 1,000 stocks in the broad-market Russell 3000 index. Its average price-to-book ratio was 2.5 as of the end of February, according to Russell Indexes. That compares with a 4.2 ratio for the Russell 1000 Index (which contains the largest 1,000 stocks) and a 5.7 ratio for the Russell Top 50 Mega-Cap Index (which contains the largest 50 stocks).

These are significant differences, according to Kent Daniel, a finance professor at Columbia University and a former co-chief investment officer at Goldman Sachs. He says that, on average, small-cap growth stocks tend to underperform the market, while small-cap value stocks tend to outperform. Since 1926, he says, the smallest-cap stocks closest to the growth end of the spectrum have lost 3.3% annualized, while the smallest most value-oriented stocks have gained 13.3% annualized.

This pattern has been especially strong in recent months, making it difficult to determine what accounts for small-caps’ relative strength this year. But Prof. Daniel says there is the distinct possibility that it is really a “value effect masquerading as a size effect.” If so, a bet on small-cap relative strength continuing is really a bet that value will outperform growth.

That bet may pay off in coming months, he says, and value could continue to outperform growth for many years. But he also says that value stocks have lagged behind growth stocks for at least a decade now, and while there have been numerous predictions of a value resurgence over that time, it hasn’t happened—at least not yet.

2. Sector bets

The benchmark indexes for small-caps and large-caps have different sector weightings, which also makes it difficult to gauge whether the recent relative strength of small-caps is actually due to company size.

Consider the information-technology sector. The ETF benchmarked to the largest 50 stocks currently has a 38.6% weighting to this sector, more than three times the 12.7% weighting of the Russell Microcap Index.

Conversely, the microcap index has more than 10 times the weighting of the largest-50-stock ETF to the industrials sector (11.7% versus 0.8%) and more than double the allocation to the financials sector (17.6% to 7.1%).

These differences are a big part of small-caps’ year-to-date performance, since industrials and financials have each outperformed the information-technology sector. It was just the opposite for calendar 2020, and sure enough, the smallest stocks lagged behind the largest last year.

Until there are small-cap and large-cap benchmarks with the same sector weightings—Prof. Daniel says he is unaware of any currently—it will be difficult to determine what is driving small stocks’ relative strength. If it is being caused by differences in sector weightings, however, it is likely to persist only if the sectors in which the small-caps are overweight continue outperforming.

3. Is the small-cap effect real?

This discussion also points to a more fundamental question that many researchers have been asking in recent years: Does the small-cap effect even exist, in and of itself? That is, do smaller firms really have higher returns than larger firms, on average, over long periods?

Andrea Frazzini, a principal at AQR Capital Management and an adjunct professor of finance at New York University, has concluded that it exists only among a very narrow group of stocks. He says that some of the relative strength of small-caps in recent months traces to speculative fervour for stocks outside that narrow group, making it risky to bet that it will continue.

According to his research, small-caps are a good bet to outperform the large-caps only if you limit your focus to companies with high financial quality. By financial quality he means firms that are profitable, have robust profit growth and a stable earnings stream and a high dividend-payout policy, among other characteristics. Many of the small companies that have performed the best so far this year don’t qualify.

Companies that have been bid higher in recent weeks through social-media investor campaigns—such as GameStop and AMC Entertainment—are two obvious examples, but they are hardly alone in not qualifying for Prof. Frazzini’s high-quality category. Nearly half of the 2,000 companies in the Russell 2000 small-stock index, for example, lost money in 2020.

Prof. Frazzini’s research therefore suggests that, if you want to bet on a continuation of recent small-cap relative strength, you should focus on small stocks that score high on various measures of financial strength, safety and quality. And don’t sweat the comparisons to that internet-stock frenzy of 20 years ago.



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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.

By David Uberti and Krystal Hur
Mon, Aug 24, 2026 3 min

Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.

When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.

The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.

But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.

Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.

After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.

“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”

The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.

Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.

In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.

Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.

“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”

Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.

“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.

The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.

The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.

In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.

Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.