Sentiment Versus Fundamentals: The Current Case for EM over U.S. Equity

Authored by

Ram Thirukkonda, CFA, CAIA

SVP, Senior Investment Strategist, Client Advisory

  • Over Q2 and much of Q3, the U.S. thematic sentiment-driven rally broadened from a handful of tech giants to include a large swath of unprofitable stocks.

  • In contrast, equity returns in EM have remained more closely tethered to fundamentals.

  • Better-grounded earnings expectations, and the potential for a pause in monetary tightening, favor equity allocations to EM over the U.S.

7 min

Markets, Ben Graham said, work like a voting machine in the short term but like a weighing machine in the long term. Over much of 2023, this aphorism well characterizes the divergent behavior of U.S. and EM equity markets. The U.S. has been caught up by thematic sentiment and thereby resembles a voting machine, while EM has been trading more soberly based on fundamentals, resembling a weighing machine. As a result, fundamentally oriented active investing approaches have performed well in EM but have been challenged in the U.S.

The U.S.: Speculative Sentiment Propels Growth Stocks (Again)

Global equity markets have delivered strong returns year-to-date, with the U.S. leading the way. Although a small group of stocks, often referred to as "the Magnificent Seven" has captured the lion’s share of investor attention, their influence on returns has not been as dominant since late Q2. 1 During the last four months, other high-beta stocks, including companies with negative earnings, have delivered strong returns. Figure 1 demonstrates this trend, showing that the historically large outperformance of high-beta stocks this year is substantial even when we remove the Magnificent Seven from that cohort.

Figure 1: A Historic Year for U.S. High-Beta Stocks

2023 data is year-to-date, as of end-September (not annualized)

Chart shows the top- and bottom-three calendar year returns since 2008 to hypothetical long-short, tercile-based portfolios formed on the basis of medium-term beta. Returns for 2023 are not annualized. Returns based on the MSCI ACWI IMI universe. Sources: Acadian Asset Management LLC based on data from MSCI. Copyright MSCI 2023, All Rights Reserved. Unpublished. PROPRIETARY TO MSCI. For illustrative purposes only. Hypothetical returns do not reflect implementation costs or advisory fees and are not indicative of future results. Every investment program has the opportunity for loss as well as profit.

In the past, such strong high-beta performance has coincided with recovery from significant global systemic shocks, such as the Global Financial Crisis (2009) and the onset of the pandemic (2020). However, in the absence of a post-recessionary driver, 2023’s returns to U.S. high-beta stocks are best viewed as a rapid reflation of earnings expectations for tech-oriented growth stocks catalyzed by AI-centric speculation. In a nutshell, among U.S. equities, investors have thrown their weight behind thematic sentiment.

This U.S. investing climate resembles the frothy environment that characterized 2020-21.2 Seen through a factor lens in the left panel of Figure 2, expensive, growth-oriented stocks have delivered strong returns and outperformed cheap stocks by a wide margin. Moreover, the figure also shows robust returns from unprofitable stocks—a group that, in the U.S., features many early-stage, tech-oriented companies.

Figure 2: U.S. – Returns to Fundamentally Oriented Factors

Year-to-date as of Aug 31, 2023

Left chart shows year-to-date total USD returns to unprofitable stocks (red) and terciles based on trailing earnings yield of profitable stocks over a U.S. equity universe. Source: Acadian based on data from Worldscope. Right chart shows year-to-date total USD returns to equally-weighted U.S. HML, CMA, and MOM factors from the Ken French data library. Copyright 2023 Kenneth R. French. All Rights Reserved. For illustrative purposes only. Hypothetical returns do not reflect implementation costs or advisory fees and are not indicative of future results. Every investment program has the opportunity for loss as well as profit.

The right panel of Figure 2 adds further detail. It shows that high-momentum stocks underperformed (dark blue). Although momentum delivered strong returns in 2022, it suffered from an abrupt reversal as last year’s losers in IT, consumer discretionary, and communication services have run-up. In addition, the underperformance of companies that invest conservatively (grey) is further evidence that investors pursued aggressive growth. In our view, valuations have become stretched as a consequence of the sentiment-driven rally, notwithstanding the market’s modest retracement in recent weeks (Figure 3). For profitable U.S. tech firms, earnings expectations quickly rebounded to highs from early 2022, prior to the start of monetary tightening. Moreover, pandemic-era tailwinds that helped to elevate those lofty expectations have been fading. Instead, these tech companies face a much higher cost of capital and a challenging operating environment as wage pressures remain strong. Though AI-oriented investments may pay off over the long run for these firms, their current focus is on boosting profitability through cost-cutting measures.3 For unprofitable tech firms, higher interest rates may imply shorter runways to positive earnings than they enjoyed during most of the post-GFC era.4

Figure 3: U.S. Technology Valuations Remain Stretched

Price to Forward Earnings Ratios, 2008 – Sep 2023

Chart shows the 12M forward P/E of the MSCI USA Information Technology Index, MSCI USA Index, and the MSCI EM Index. Source: Acadian based on data from Bloomberg, and MSCI. MSCI data copyright MSCI 2023. All Rights Reserved. Unpublished. PROPRIETARY TO MSCI. This is an educational exhibit. For illustrative purposes only.

EM: A Stronger Tether to Fundamentals

Emerging markets have behaved very differently than the U.S. this year. The left panel of Figure 4 shows that in EM, expensive stocks—both those with earnings and those that are unprofitable—have underperformed the benchmark. In other words, in EM, investors seem to be “weighing” current profits rather than channeling thematic sentiment.5 In fact, the right panel of the figure shows that EM performance drivers were nearly the mirror image of those in the U.S. and that there were positive payoffs from exposure to cheap, conservative companies and positive price momentum.

Figure 4: EM – Returns to Fundamentally Oriented Factors

Year-to-date as of Aug 31, 2023

Left chart shows year-to-date total USD returns to unprofitable stocks (red) and terciles based on trailing earnings yield of profitable stocks (teal) over an EM equity universe. Source: Acadian based on data from Worldscope. Right chart shows year-to-date total USD equally weighted returns to the Fama-French factors HML, CMA, and WML factors from the Ken French data library. Copyright 2023 Kenneth R. French. All rights reserved. For illustrative purposes only. Hypothetical returns do not reflect implementation costs or advisory fees and are not indicative of future results. Every investment program has the opportunity for loss as well as profit.

Explaining the Divergence

Differences in industrial structure have contributed to regional variation in the expression of thematic sentiment. The U.S., as the engine of technological innovation backed by the Silicon Valley ecosystem, provides greater access to stocks in generative AI and related technologies. Furthermore, prominent examples of unprofitable companies transforming into industry leaders, such as Tesla in 2020-21, have left investors, and perhaps even analysts, vulnerable to behavioral biases that can inflame speculation. For example, they may be anchoring current valuations to the frothy price levels and earnings expectations of 2020-21 or overestimating the likelihood that a given unprofitable company will become the next Tesla or Nvidia.6 As a result, we expect AI-driven sentiment to remain overly pervasive in the near-term as investors struggle to differentiate signal from noise around AI, with companies continuing to vie for their attention. 

In EM, in contrast, growth-oriented sentiment has been tempered by the flare-up in U.S.-China geopolitical tensions and a slower-than-expected recovery in China. This has shifted the focus among investors to current profits. Moreover, unlike in 2018-20 when EM tech stocks enjoyed multiple expansion in an environment of perceived regulatory permissiveness, more recently the market has become sensitive to potential regulatory pressures, which has helped to keep a lid on multiples.

Growth Equities: Sentiment Not Rates

An alternative explanation that has been offered for the U.S. growth stock-led rebound is that anticipation of an end to monetary tightening may be decreasing the discount rate that investors are applying to cash flows. As the argument goes, tech-oriented growthy stocks, and especially currently unprofitable ones, are “longer duration” assets than other equities because their earnings are further in the future. As a result, they might benefit more on a relative basis from falling rate expectations.

As we noted in prior research, however, the empirical relationship between value-growth and interest rates may be an artifact of the 2010s rather than a dependable market feature. 7 In fact, during 2023, rate expectations were rising as growth equities outperformed, contrary to the prediction of DCF-based priors. As a result, growth equities’ measured sensitivity to bonds has sharply fallen. (Figure 5) Based on these observations, we think the case is all the stronger that growth-value dynamics have been influenced by sentiment more than (mechanically) by interest rates.

Figure 5: Growth/Value Sensitivity to 10-year Bond Returns

Bond Betas through Aug 31, 2023

From an allocation perspective, we would view the end of tightening, accompanied by lower inflation, as of particular benefit to emerging economies, through the easing of financial conditions.8 As such, we find the contrast between optimism regarding the U.S. and diffidence towards EM particularly striking.


In the U.S., unprofitable and high-beta tech stocks have, in recent months, joined what was originally a narrower rally led by the Magnificent Seven. In EM, by contrast, investors have been more cautious, and stocks have been tethered more closely to fundamentals. As a result, we view EM equities as appealing relative to the U.S., where valuations remain stretched, and the market seems relatively vulnerable, once again, to a potential shift in sentiment.  


  1. The Magnificent Seven refers to Microsoft, Apple, Netflix, Alphabet, Meta, Amazon, and Nvidia. References to these and any other specific companies in this write-up should not be construed as recommendations to buy or sell any securities
  2. For detailed analysis of this period, see Growth vs Value: End of an Era, Acadian, 2021 and Managed Volatility in the Pandemic: The One-Year Anniversary, Acadian, March 2021.
  3. See, for example, A comprehensive list of 2023 tech layoffs, TechCrunch, September 29, 2023.
  4. Rate Hikes Curb Innovation and Economic Output, Jackson Hole Paper Finds, Bloomberg, August 25, 2023.
  5. Returns in EM ex-China present a broadly similar picture as to the rest of EM. Contact us for details.
  6.  The latter is a manifestation of the representativeness heuristic.
  7. Please see Value vs Rates: Don’t Believe (All) the Hype, Acadian, 2021 for further discussion.
  8. E.g., see Are Rising U.S. Interest Rates Destabilizing for Emerging Market Economies?, Federal Reserve Economic Research, June 23, 2021.

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About the Authors

Ram T

Ram Thirukkonda, CFA, CAIA

SVP, Senior Investment Strategist, Client Advisory
Ram joined Acadian in 2018 and is a senior investment strategist on the Client Advisory Team, aligned closely with Acadian's Global Client Group and Investment Teams. Prior to joining Acadian, Ram was a quantitative research analyst on the Asset Allocation team at GMO LLC, focused on portfolio construction, risk models, and signals. Ram also previously worked as a quantitative analyst at Batterymarch Financial Management, where he conducted research on quantitative equity portfolios. Ram holds an M.S. in financial engineering from MIT; an M.S. in transportation engineering/operations research from MIT; and a B.Tech. in civil engineering from Indian Institute of Technology, India. He is a CFA charterholder and a member of CFA Society Boston.