In the Spotlight
The quality factor: Its impact, foundation, and evolution
Secular components have become an important part of quality investing.
Laurence Taylor, Equity Solutions Portfolio Manager
Adam Karp, Senior Equities Risk Manager
Key Insights
  • Quality has been a powerful driver of returns, in part, given its relationship to the consistency and compounding of shareholder returns.
  • An assessment of quality should center on financial analysis to help understand corporate health; financial productivity; and a company’s competitiveness, management execution, and shareholder returns.
  • Quality is increasingly being influenced by a company’s exposure to secular change. Companies aligned with long‑term, sustainable growth trends appear to be economically more resilient and fundamentally of higher quality.

The investment landscape of the last 18 months has been unusual in many respects. Looking back, much of the rally has been driven by risk aversion easing back as black swan events were either avoided or diluted in probability. But while headline equity market returns might imply a robust economic backdrop, index returns were achieved despite an economic deceleration—but also because of a heavy concentration in a handful of stocks, most notably, the “Magnificent Seven”1 (Figure 1). While these stocks might be loosely bonded by the emerging theme of artificial intelligence (AI) and its infrastructure and future applications, the extreme return concentration over that period merits deeper consideration.

"Quality is increasingly being influenced by a company’s exposure to secular change."
Laurence Taylor, Equity Solutions Portfolio Manager

The market capitalization of the Magnificent Seven stocks is one clear linkage, but a key thread when looking at equity returns over the past decade has been a collective improvement in the quality of these companies. This show of quality intertwined with the expectation of future growth and improvement, and stemming from the AI revolution, is at the heart of why these companies have dominated equity returns.

What is quality, and does it work?

Factor definitions—including size, momentum, volatility, growth, and value—have long been viewed with a high degree of consensus among practitioners and academic researchers. While there are variations in the precise metrics used for definition, many factor concepts are widely accepted and understood by investors.

"Quality, either as a factor or as an investing style, is a notion that lacks a universally agreed‑upon definition...."
Adam Karp, Equities Risk Manager
Magnificent Seven ride to the rescue

(Fig. 1) 2023 market returns were dominated by a handful of stocks

In Figure 1, titled “Magnificent Seven ride to the rescue,” we show how much these seven stocks contributed to 2023 index returns for each index. A bar graph reflects that for MSCI ACWI 38% of returns were attributed to the Magnificent Seven, 46% for the MSCI ACWI Quality, 44% for the S&P 500 Index, 45% for the S&P Quality Index, and 56% for the MSCI USA Quality Index.

As of December 31, 2023.
Past performance is not a reliable indicator of future performance.
Source: Financial data and analytics provider FactSet. Copyright 2024 FactSet. All Rights Reserved.

Quality stocks have outperformed for over 10 years

(Fig. 2) The last few years have seen a clear differentiator in performance of quality assets

Figure 2, titled “Quality stocks have outperformed for over 10 years,” a line chart reflects quality outperformance over that period, with the chart also showing how since 2009 that outperformance has increased.

As of December 31, 2023.
Past performance is not a reliable indicator of future performance.
Sources: Financial data and analytics provider FactSet. Copyright 2024 FactSet. All Rights Reserved. The findings here are universe‑specific to MSCI ACWI and MSCI ACWI Quality.

Quality, either as a factor or as an investing style, is a notion that lacks a universally agreed‑upon definition, however. This makes quality harder to identify and capture, despite strong consensus and evidence that it has strong linkages to financial returns within equity markets.

We examined quality from both a quantitative and qualitative perspective with a goal to understand its foundations, its impact on returns, and its redistribution in an ever‑increasing digital world. As a starting point to understand why quality is a much‑debated concept, we compared the MSCI ACWI2 with the MSCI ACWI Quality (Figure 2). While there are many definitions available, the MSCI ACWI Quality aims to capture the performance of quality‑growth stocks by identifying securities with high quality scores based on three main fundamental variables: high return on equity (ROE), earnings stability, and low financial leverage.3

Outperformance of the quality index is notable, even more so when considering the five‑year rolling relative return of the quality index, which exceeds its mainstream equivalent in 85% of observations since 1997 (Figure 3). At least through the lens of one index definition, quality has been a consistent outperformer, albeit with cyclicality and notable periods of drawdown.

“...the quality index often experienced underperformance during extreme risk‑on periods.”
Adam Karp, Equities Risk Manager

This cyclicality is better observed through an evaluation of shorter‑term data. In Figure 4, we show the same analysis over a rolling six‑month time frame, observing that the quality index often experienced underperformance during extreme risk‑on periods. These have often followed in the wake of crisis‑type events. This pattern is intuitive given that such recovery periods are often defined by broad‑based improvement and high‑risk tolerance. The exit from the financial crisis of 2008–2009 and the reopening of the global economy following the COVID‑19 pandemic are two such examples of quality underperformance.

Long‑term outperformance of quality assets

 (Fig. 3) Five‑year rolling relative returns of the quality index have exceeded its mainstream equivalent in 85% of observations since 1997

Figure 3, titled “Long-term outperformance of quality assets,” a line chart shows the outperformance over five-year rolling return periods from 1997 to the end of 2023. Since 1997, quality has outperformed 85% of the time.

As of December 31, 2023.
Past performance is not a reliable indicator of future performance.
Source: Bloomberg Finance L.P. Monthly returns.

Risk attitudes define quality asset cycles

(Fig. 4) Quality often experiences underperformance during extreme risk‑on periods

Figure 4, titled “Risk attitudes define quality asset cycles,” a line chart shows how quality often experiences underperformance during extreme risk-on periods.

As of December 31, 2023.
Past performance is not a reliable indicator of future performance.
Source: Bloomberg Finance L.P.

Robust reasons for outperformance of the Magnificent Seven

(Fig. 5) Since the pandemic, earnings growth has been markedly better than for other styles

Figure 5, titled “Robust reasons for outperformance of the Magnificent Seven,” a bar graph shows how since the pandemic, earnings growth has been markedly better for the Magnificent 7 collectively.

As of December 31, 2023.
1 2023 consensus estimates. Actual outcomes may differ materially from estimates. Estimates are subject to change.
Sources: Financial data and analytics provider FactSet. Copyright 2024 FactSet. All Rights Reserved. T. Rowe Price

With each observation representing six‑month periods rolled one month forward, we found that in 65% of observations, the MSCI ACWI Quality produced positive excess return relative to the MSCI ACWI. Midcycle and/or less directional markets are where quality tends to deliver a return advantage, especially where a scarcity component emerges. This growth scarcity was evident in 2023, and also in the period preceding the pandemic, where economic and earnings growth were muted. As with any scarce commodity, as growth becomes harder to come by, investors are more willing to pay a premium.

The more recent outperformance of quality has been driven by the absence of broad economic and earnings growth, in tandem with a concentration of earnings growth centered on the Magnificent Seven (Figure 5), a group of stocks that has risen in significance for quality investors.

The foundations of quality

We believe there is no static definition to fully isolate “quality” given the constant evolution of economic, secular, and competitive factors that drive change within sectors and across equity cycles. While quality (alongside value and growth) is evolutionary, it is nevertheless critical to evaluate where stock fundamentals imply dimensions of quality and how this may have strong efficacy for future returns.

To demonstrate this point, we focused on the history of U.S. equity markets by evaluating the long‑term compounded returns of the S&P 1500 Index4 (sector neutral) since 1985. Our approach aimed to give a perspective on the importance of capturing the correct definition of quality and how investors reward differing capital allocation decisions, including reinvestment for future growth, versus the return of capital via dividends.

We grouped potential characteristics into the following two broad groups using sector neutral quintile analysis.

Companies with higher ROE, ROIC, and ROA tended to shine

(Fig. 6) Companies with high free cash flow performed best

Figure 6, titled “Companies with higher ROE, ROIC, and ROA tended to shine,” we have a line chart that reflects how companies with high free cash flow performed best.

As of December 31, 2023.
Past performance is not a reliable indicator of future performance.
Calculations are based on trailing 12‑months. This chart reflects the profitability and financial productivity measurements for the S&P 1500 Index.Where the term “high” appears in the legend of Figures 6 and 7, we imply (Quintile 1–Quintile 5), conversely, where the term “low” precedes the factor name we imply (Quintile 5–Quintile 1). In terms of factor performance of (Q1–Q5) – High minus Low and or (Q5–Q1) – Low minus High . The process involves analyzing the performance of stock baskets based on factors (Q1–Q5) or (Q5–Q1), which are created by grouping stocks within sectors and adjusting for sector bias/ i.e. sector neutral. Stocks within each sector are ranked based on factor values and divided into quintile baskets. These baskets are then aggregated across sectors to form the final baskets for the entire universe. This approach aims to ensure a balanced distribution across sectors within each factor basket, mirroring the sector. Quintiles are reconstituted monthly. Further information on factor definition can be provided on request. Sources: T. Rowe Price, Piper Sandler.

 

Profitability measures and economic efficacy

One of the pillars of quality focuses on profitability metrics and measures of economic productivity, including return on equity and return on invested capital (ROIC). Considering the S&P 1500 on a sector neutral basis since 1985, we found that companies with high cash flow yield had been the dominant driver of returns within measures of profitability and financial productivity.

High ROE, ROIC, and return on assets (ROA) also appeared to perform well, albeit profit margin indicators do not appear to have strong efficacy on a standalone basis (Figure 6). This provides insight into how investors prefer the singular measure of corporate economic success that cannot be materially influenced by accounting practices—free cash flow.

Quality companies with high debt coverage can be good predictors of returns

(Fig. 7) Companies with high debt and interest coverage outperformed companies with low absolute measures of leverage

Figure 7, titled “Quality companies with high debt coverage can be good predictors of returns,” has six lines showing the cumulative returns from 1985 to to the end of 2023 and how companies with high debt and interest coverage outperformed those with low absolute measures of leverage.

As of December 31, 2023.
Past performance is not a reliable indicator of future performance. Calculations are based on trailing 12‑months. Where the term “high” appears in the legend of Figures 6 and 7, we imply (Quintile 1–Quintile 5), conversely, where the term ”low” precedes the factor name we imply (Quintile 5–Quintile 1). Quintiles are reconstituted monthly. S&P 1500 is the universe of companies.
Sources: T. Rowe Price, Piper Sandler.

Leverage and debt service

Another component of quality often cited in quantitative and fundamental literature centers on low or sustainable corporate leverage. While leverage and balance sheet sustainability influence the assessment of quality characteristics and corporate outcomes, including free cash flow generation, leverage alone is not sufficient to capture a full perspective on quality.

High debt coverage and interest coverage are far better predictors of prospective returns over the long term versus low or absolute measures of leverage (Figure 7). This perspective links closely to the performance of companies that are defined by debt sustainability, especially through crises—financial or otherwise— and the preparedness of balance sheets for changes in financing conditions, as we saw in 2023.

While robust fundamental analysis would always incorporate an assessment of a company’s balance sheet and profitability, one clear observation is the potential tailwind that exists when focusing a portfolio on companies with high quality markers. Another way to look at the data is to consider the hit rate of individual factors by analyzing the frequency of outperformance. While affirming the benefits of high free cash flow and debt sustainability, Figure 8 demonstrates that negative earnings, sales volatility, and high levels of debt to equity were headwinds to return generation. This is intuitive given the drawdown that such stocks experienced during times of economic or industry‑specific downturn or stress.

The Magnificent Seven and evolution of quality

The investment landscape of the last year and a half has been unusual in many respects. Despite strong headline equity returns, a complex macroeconomic backdrop persisted throughout the year encompassing:

  • Extreme and unpredictable inflation
  • Heightened geopolitical tensions
  • Bank failures, albeit without any meaningful credit or unemployment cycle
  • Anemic global economic and earnings growth—excluding the Magnificent Seven
Free cash flow yield is key

(Fig. 8) Stocks with negative earnings and lower debt to equity have underperformed

Figure 8, titled “Free cash flow yield is key,” there is a bar graph that demonstrates how higher-quintile performance measures helped stocks outperform.

As of December 31, 2023.
Past performance is not a reliable indicator of future performance.
Negative Earnings are companies which have negative earnings. i.e. <0, they are running a net loss. Sales Variance using a 4‑Year Variance in Year‑over‑Year for trailing 12 months sales growth.
Performance spread hit rate is measured by quintiles (Quintile 1 outperforms Quintile 5) for “High” and Quintile 5 outperforms Quintile 1 for “Low.” These are measured on rolling 3month periods – i.e. each period represents a 3 month window which is rolled forward 1 month for every observation. Beta, debt to equity, sales variance and negative earnings are all “low” (Quintile 5–Quintile 1) factors; all other factors in the chart are “high” (Quintile 1–Quintile 5). The quintiles are reconstituted monthly. S&P 1500 is the universe of companies.
Sources: T. Rowe Price, Piper Sandler.

 

The evolution of the Magnificent Seven

 (Fig. 9) Investment quality, earnings, and profitability have all improved for this select group of companies

Figure 9, titled “The evolution of the Magnificent Seven,” this line chart reflects the improvement in investment quality, earnings, and profitability for the Magnificent Seven.

As of December 31, 2023.
Calculated using Barra Risk Model (GEMLTL—The Global Equity Model).
The exposure scores represent z‑scores/standardized exposure values. This is done in order for comparability and is standard practice in risk models. A score of “0” implies an exposure equal to that of a the regression‑cap weighted universe. A positive score indicates a score larger and a negative score indicates a score smaller.
Source: MSCI Barra (see Additional Disclosure).

While uncertainty abounded, the Magnificent Seven emerged as an economic force that helped equity markets push through these meaningful economic challenges. One of the clear reasons for the strong performance was the evolution of their individual and collective quality fundamentals. While each company has been through significant evolution and profitability cycles in the age of digitization, more recently, we have witnessed a marked decrease in earnings variability coupled with significant enhancements in profitability and investment quality (Figure 9).

Robust reasons why growth has outperformed value

(Fig. 10) Clear difference in earnings‑per‑share and free cash flow helped drive growth outperformance

Figure 10, titled “Robust reasons why growth has outperformed value,” has a bar graph that demonstrates how earnings per share, free cash flow, and total return have all been markedly higher for growth stocks compared with value stocks from the period June 1, 2007, to December 31, 2023.

As of December 31, 2023. Trailing 12‑months figures.
Past performance is not a reliable indicator of future performance.
Source: Financial data and analytics provider FactSet. Copyright 2024 FactSet. All Rights Reserved.

 

In addition, the earnings quality5 of these firms has witnessed improvement to the upper end of the range in recent quarters as disruptive concepts have evolved into established and more profitable businesses. This evolution has adjusted interest in these types of companies to a broader range of investors, including those seeking qualitative or quantitative quality exposure.

“The changing nature of the global economy has been a driving force in the emergence and evolution of digital champions, not as concept, but as dominant in their industries and historically profitable cash flow generators..”
Laurence Taylor, Equity Solutions Portfolio Manager

The changing nature of the global economy has been a driving force in the emergence and evolution of digital champions, not as concept, but as dominant in their industries and historically profitable cash flow generators. In many respects, this has reshaped the fundamental characteristics of growth investing, broadening out the opportunity set and economic maturity/profitability of the growth index (Figure 10).

While the trend of digitization redistributing profits and free cash flow to growth champions has been playing out for many years, an upswing in profitability, coalescing with the beginning of the AI infrastructure cycle, has seen the dimensions of quality evolve. We expect the addition of secular components to become an important part of quality investing going forward, and investors should factor this in to their portfolio construction.

1 Apple, Microsoft, NVIDIA, Amazon, Alphabet, Meta Platforms, and Tesla are seven tech companies that have come to be known as the Magnificent Seven.

2 The MSCI ACWI captures large‑ and mid‑cap representation across 23 developed market (DM) and 24 emerging market (EM) countries. With 2,841 constituents, the index covers approximately 85% of the global investable equity opportunity set.

3 A quality score for each security is calculated by combining Z scores of three winsorized fundamental variables—return on equity, debt to equity, and earnings variability. MSCI then averages the Z scores of each of the three fundamental variables to calculate a composite quality Z score for each security and then ranks all constituents of the parent index based on their quality scores.

4 The S&P 1500, or S&P Composite 1500 Index, is a stock market index of U.S. stocks made by Standard & Poor’s. It includes all stocks in the S&P 500, S&P 400, and S&P 600. This index covers approximately 90% of the market capitalization of U.S. stocks and is a broad measure of the U.S. equity market.

5 As defined by Barra.

Additional Disclosure

Barra and its affiliates and third party sources and providers (collectively, “Barra”) makes no express or implied warranties or representations and shall have no liability whatsoever with respect to any Barra data contained herein. The Barra data may not be further redistributed or used as a basis for other indices or any securities or financial products. This report is not approved, reviewed, or produced by Barra. Historical Barra data and analysis should not be taken as an indication or guarantee of any future performance analysis, forecast or prediction. None of the Barra data is intended to constitute investment advice or a recommendation to make (or refrain from making) any kind of investment decision and may not be relied on as such.

Important Information

This material is provided for informational purposes only and is not intended to be investment advice or a recommendation to take any particular investment action.

The views contained herein are those of the authors as of September 2024 and are subject to change without notice; these views may differ from those of other T. Rowe Price associates.

This information is not intended to reflect a current or past recommendation concerning investments, investment strategies, or account types, advice of any kind, or a solicitation of an offer to buy or sell any securities or investment services. The opinions and commentary provided do not take into account the investment objectives or financial situation of any particular investor or class of investor. Please consider your own circumstances before making an investment decision.

Information contained herein is based upon sources we consider to be reliable; we do not, however, guarantee its accuracy.

Past performance is not a reliable indicator of future performance. All investments are subject to market risk, including the possible loss of principal. All charts and tables are shown for illustrative purposes only.

T. Rowe Price Investment Services, Inc. For Institutional Investors Only.

© 2024 T. Rowe Price. All rights reserved. T. Rowe Price, INVEST WITH CONFIDENCE, and the bighorn sheep design are, collectively and/or apart, trademarks or registered trademarks of T. Rowe Price Group, Inc.

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Important Information

This material is provided for informational purposes only and is not intended to be investment advice or a recommendation to take any particular investment action.

The views contained herein are those of the authors as of September 2024 and are subject to change without notice; these views may differ from those of other T. Rowe Price associates.

This information is not intended to reflect a current or past recommendation concerning investments, investment strategies, or account types, advice of any kind, or a solicitation of an offer to buy or sell any securities or investment services. The opinions and commentary provided do not take into account the investment objectives or financial situation of any particular investor or class of investor. Please consider your own circumstances before making an investment decision.

Information contained herein is based upon sources we consider to be reliable; we do not, however, guarantee its accuracy.

Past performance is not a reliable indicator of future performance. All investments are subject to market risk, including the possible loss of principal. All charts and tables are shown for illustrative purposes only.

T. Rowe Price Investment Services, Inc. For Institutional Investors Only.

© 2024 T. Rowe Price. All rights reserved. T. Rowe Price, INVEST WITH CONFIDENCE, and the bighorn sheep design are, collectively and/or apart, trademarks or registered trademarks of T. Rowe Price Group, Inc.

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