The hottest debate in asset allocation: Value vs. growth stocks

On the Asset Allocation Committee, we like value stocks as a tactical trade for the next six to 12 months. Macro, fundamental, and sentiment catalysts support the valuation case.

An easy way to distinguish between value and growth stocks is to rank them by their book‑to-market (B/M) ratio.

I like to think of the B/M ratio as a yardstick for the level of disagreement between accountants and money managers about a company’s value.

Book value (B) is what accountants think the company is worth—the difference between the company’s assets and liabilities.

Market value (M) is the market capitalization (shares outstanding multiplied by price). It’s what investors think the company is worth based on its future earnings prospects.

Theoretically, companies with a high B/M ratio are “cheap,” and those with a low B/M are “expensive.”

Of course, it’s not that simple.

Valuing a company is difficult. It requires forecasting future earnings and putting a price on risk.

On the one side, accountants use rules. They try to avoid making messy judgment calls. These rules are necessary to make financial statements comparable across companies, but they often fail to capture future earnings growth. Despite efforts to measure “intangibles,” accountants don’t have the tools to value a fast- growing company’s ability to gain market share. There’s too much judgment involved.

On the other side, it’s an investor’s job to make judgment calls. We don’t care whether our forecasts are comparable with other investors. You don’t want two accountants to disagree on a company’s earnings or book value, but it’s expected that money managers will disagree on a company’s market value. A stock’s price reflects a collection of independent judgments.

Over time, who’s been right more often? Accountants or money managers?

There’s evidence that money managers should pay more attention to book values. Between 1926 and 2023, stocks with high B/M ratios have outperformed those with low B/M ratios by an average of 4.2%.¹ We call this the value premium. Academic careers have been built on discovering and explaining it, and money management careers have been built on harvesting it.

Academics explain this premium as compensation for risk. Value stocks are more cyclical; hence, investors should require a premium to invest in them.² Some money managers prefer to explain it as an anomaly caused by irrational investor behavior. They posit that value stocks have historically outperformed over time because they’re boring. I’m paraphrasing, but the idea is that investors tend to overpay for “glamour,” high-growth, and high-momentum stocks.³

Unfortunately for the value zealots, the value premium has weakened. Over the last 20 years, the average value premium was -1.4%.⁴ Yep, it was negative. Growth stocks outperformed despite their low B/M ratio.

Two decades seems like a long enough time to question the effectiveness of B/M as a measure of “value.” And before you ask, another measure of value, earnings yield (E/P), hasn’t performed better.⁵

Since the 2008 great financial crisis, the Russell 1000 Growth Index has outperformed its value counterpart by over 114%, as shown in the chart below.

However, unlike during the internet bubble, earnings have supported growth stocks’ outperformance. It’s not just a valuation sugar high—fundamental proteins have also fueled this rally. The chart below zooms out to 1995 and shows that when we adjust for earnings, growth stocks are expensive relative to value stocks, but the earnings yield (E/P) spread is nowhere near the cumulative price appreciation spread.

Still, the valuation signal favors value. Historically, when value was as cheap as it is currently relative to growth, it outperformed growth over the following 12 months by 5.8% to 7.0% on average, as shown below. This signal was in the same ZIP code, and the value trade was very profitable around the internet bubble and in 2021, when stimulus money was juicing the rally that preceded the interest rate shock of 2022.

Valuation signals often fail when there’s no catalyst for the rotation. Now, there are three potential catalysts for value to outperform. They speak to our broader framework for tactical asset allocation, which, in addition to relative valuations, also focuses on fundamentals, macro, and sentiment:

(1) Fundamentals: With rising commodity prices, signs of a cyclical upswing the (manufacturing Purchasing Managers’ Index inflected above 50 in March 2024), increased optimism from industrials CEOs, and easy year-over-year comparisons, value stocks could see an acceleration in earnings. Figure 4 indicates that analysts expect a textbook rotation in fundamentals with value taking the baton from growth.

(2) Macro: On the margin, macro factors favor value. Recently, I asked 26 analysts and portfolio managers from our Multi-Asset Strategy team to vote on macro scenarios—on growth, inflation, fed funds, oil prices, and the tech valuation premium—and their potential impact on the value versus growth trade over the next 12 months. We asked them to express their views relative to market expectations.

The team believes the strongest macro factor favoring value could be rising oil prices (energy stocks have a higher representation in the value universe), followed by higher‑than-expected fed funds and inflation.

When asked whether oil prices were headed higher, lower, or staying the “same” relative to current market expectations (based on forward prices), 65% responded higher, 35% responded same, and 0% responded lower.

Consistent with this view, outside of the Multi-Asset Division, several stock analysts and portfolio managers on our platforms are overweight energy stocks.

(3) Sentiment: Value has been unloved. Flows into growth relative to value products are in their 92nd percentiles over the last year—in other words, investors have been more enthusiastic about growth only 8% of the time. The growth trade feels crowded. This could favor value if one or more of the other factors (valuation, fundamentals, macro) kick in, motivating investors to rotate.

Also, there are signs that value has gathered momentum, at least over the short term. The Russell 1000 Value Index outperformed its growth counterpart by 3.2% in March. As the chart below suggests, short-term momentum is often a sign that catalysts are beginning to emerge.

A study titled “Value and Momentum Everywhere” (2013) by Cliff Asness, Toby Moskowitz, and Lasse Heje Pedersen supports this idea of combining value and momentum. The authors applied these signals across markets (individual U.S., UK, Europe, and Japan stocks; equity country indexes; currencies; global government bonds; and commodity futures). They obtained a stratospheric—hardly ever seen in practice—Sharpe (return‑to‑risk) ratio of 1.59.

We’re buying value in two ways: by rebalancing to target as growth rallies and by moving the target higher. But we’re doing this incrementally. Why aren’t we moving faster?

The main caveats are the following:

We believe that artificial intelligence will continue to motivate capital spending on technology and create efficiency gains.

Active security selection helps mitigate these risks. Across our value and growth strategies, our stock pickers, on average, favor the tech sector. This illustrates one of the advantages of active investing over using index funds: We can overweight value without taking a large bet against the tech sector at the total portfolio level.

Thank you to Cesare Buiatti for running the numbers on most of the exhibits in this note and to Charles Shriver, Dave Eiswert, Rob Panariello, Grace Zheng, Sean Jones, Megumi Chen, Tim Murray, Josh Yocum, and Viraj Vora for their valuable contributions.

A note on methodologies: The premiums of 4.2% and -1.4% are from Ken French’s data library. The figure 4.2% is the arithmetic average of annual (calendar) “HML” (High Minus Low B/M) factor returns between 1927 and 2023, and -1.4% is the average for the last 20 years (2004–2023).

The rest of the analysis is based on the Russell 1000 Growth and Value indexes. Russell uses three factors to rank stocks along the value-growth spectrum, using the following weightings: