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ASmartBetaforSustainable
Growth
Chris Brightman, CFA, Mark Clements, PhD, and Vitali Kalesnik, PhD
Investors have long used the “style box” to diversify their equity portfolios by
allocating to a mix of growth and value funds. As intended, diversifying by style
has reduced tracking error. Unfortunately, it hasn’t delivered the hoped-for
outperformance. While value funds have outperformed the market, growth
funds have underperformed.1
Value indices are built on strong theoretical foundations and have provided a
long history of positive excess returns. Traditional growth indices, constructed
as the inverse of value, lack a robust theoretical foundation and have provided
July 2017
May 2017
WhyFactorTiltsAreNot
Smart“SmartBeta”
Rob Arnott, Mark Clements, PhD,
and Vitali Kalesnik, PhD
January 2017
ASmootherPathto
Outperformancewith
Multi-FactorSmartBeta
Investing
ChrisBrightman,CFA,VitaliKalesnik,PhD,
Feifei Li, PhD, and Joseph Shim
Key Points
1.	 Traditional growth indices, designed as the inverse of value, have
delivered negative excess returns and failed to provide faster growth in
earnings per share (EPS). Active growth managers, who track growth
indices, have likewise underperformed the market.
2.	 Companies that invest aggressively to grow assets and sales despite a
low return on capital perform poorly, attributable to negative relative
growth in EPS. Companies with a high return on capital and more
disciplined growth strongly outperform, attributable to high relative
growth in EPS.
3.	 A smart beta growth strategy, by investing in profitable companies with
conservative investment practices, can diversify value strategies while
delivering a strong positive excess return from sustainably faster growth
in EPS.
FURTHER READING
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July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  2
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a long history of negative excess returns. Even worse for
growth investors, active growth managers have delivered
underperformance along with high fees.2
Can investors find a simple systematic growth strategy
to diversify their value funds that also provides a positive
excess return? Yes! We show in this article that a smart
beta growth strategy—investing in companies with sustain-
ably high earnings-per-share (EPS) growth, as identified by
high profitability and conservative investment—can diver-
sify value indices, while also delivering a positive excess
return.
The Failure of Growth Funds
In 1993, Fama and French synthesized previous academic
work on the sources of equity returns to create the famous
three-factor model: market, value, and size. Soon thereaf-
ter, “growth” came to be interpreted as the inverse of value.
The logical assumption was that investors, in an efficient
market, will set higher stock prices relative to book value
in recognition of stronger future growth in EPS.
Following this interpretation, growth indices were created
as the inverse of value indices; they were simply indices of
expensively priced stocks. We now know, however, that
more expensive stocks persistently underperform cheaper
stocks. Unsurprisingly, traditional growth indices, inspired
by this definition of growth, have duly underperformed.
Active managers endeavor to identify unrecognized
or underappreciated companies likely to deliver future
growth in EPS that more than compensates for any price
premium. Unfortunately for the investors in these funds,
active growth managers, much like growth indices, have
generally failed to deliver positive excess returns. Active
growth managers, on average, underperformed the market
by nearly 60 basis points a year from January 1991 to June
2013—and this is before fees! 3
Smart Beta
Smart beta seeks to deliver well-researched, systematic
sources of excess return through transparent, low-cost
investment vehicles. Informed by the Fama–French (2015)
five-factor model, we explain how to create a smart beta
growth strategy by combining the two new factors—prof-
itability and investment—Fama and French recently added
to their three-factor model.
Today, profitability and investment are well-known factors.
The excess returns associated with these factors have been
thoroughly documented in earlier papers.4
In this article,
we demonstrate that the fundamental source of the excess
returns delivered by profitability and conservative invest-
ment can be attributed to sustainably faster growth in EPS,
the very attribute that growth funds attempt to provide.
From this finding, we show these two new factors can be
combined to construct a smart beta strategy that delivers
persistent outperformance through high growth in EPS.
Smart vs. Dumb Growth
Stocks	
To illustrate the intuition supporting the empirical evidence,
we explore several examples of smart and dumb growth
stocks. The stock of a company with a low return on capital
and a management investing rapidly to increase its scale of
operations is a dumb growth stock. In contrast, the stock of
a company with a high return on capital with a management
that demonstrates discipline and skill in capital allocation
is a smart growth stock. Our examples look at three points
in time: the height of the dot-com bubble (July 1999), the
eve of the global financial crisis (July 2000), and more
recently, July 2016.
Let’s begin with the dumb growth stocks.
We examine three dot-com stars—Compaq, Yahoo, and
WorldCom—which, like many companies in the late 1990s,
were aggressively investing for growth in the new inter-
net-connected economy.
“Diversifying by style…
hasn’t delivered the hoped-
for outperformance.”
July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  3
www.researchaffiliates.com
Compaq was the largest manufacturer of personal comput-
ers in the 1990s.5
To build scale, Compaq, despite (or
because of) falling profits, invested heavily in a series
of aggressive acquisitions.6
These acquisitions failed
to produce the hoped-for economies of scale, while the
rapid expansion caused quality control problems. We were
not able, for example, to write this article on a Compaq
machine, because the company was acquired at a fraction
of its peak price by Hewlett-Packard in 2002.7
Yahoo, in the late 1990s, was expected by the stock market
to attain a leading (if not the dominant) place in the excit-
ing new field of web search. Despite little apparent profit-
ability at the time, Yahoo invested aggressively to capture
“eyeballs” and traffic. Although web search did become
extremely valuable, Yahoo did not. Simply put, Google
came along and did search much better.
WorldCom was the second-largest long-distance commu-
nication provider in 1999, a position achieved through
aggressive acquisitions of technologies and networks.
WorldCom financed its (loss-making) growth using rapid
stock issuance, large amounts of debt, and some account-
ing fraud. When investors discovered that the industry had
massively overinvested in fiber optic communication infra-
structure, the game was up. WorldCom filed for Chapter 11
protection in 2002.
Financials, in the lead-up to the global financial crisis of
2008, are another example of dumb growth. Politicians,
the media, and too many investors viewed securitization
of mortgage debt as modern financial alchemy. Many of
the banks that were among the most aggressive in stuffing
their balance sheets with mortgage-backed securities have
since failed or been acquired at fire-sale prices, leaving
investors high and dry.
Any use of the above content is subject to all important legal disclosures, disclaimers, and terms of use found at
www.researchaffiliates.com, which are fully incorporated by reference as if set out herein at length.
Source: Research Affiliates, LLC, using data from CRSP/Compustat.
Company Investment Return on Equity Earnings Yield
Subsequent 5-Year
Total Return
Subsequent 10-Year
Total Return
July
1999
Market 31.6% 6.3% 4.0% 29.75% 20.79%
Compaq 57.5% -24.2% -6.8% — —
MCI WorldCom 285.9% -5.7% -1.6% — —
Yahoo 338.3% 4.8% 0.1% -15.5% -63.6%
Coca-Cola 6.1% 94.2% 4.4% 14.7% 20.8%
Exxon -3.6% 14.7% 3.4% 29.6% 124.8%
Kellogg's 3.6% 56.5% 3.8% 48.8% 87.5%
July
2007
Market 21.0% 10.8% 4.9% 5.5% -
Wachovia 35.8% 11.1% 7.9% — —
Merrill Lynch 23.5% 20.9% 10.1% — —
Lehman Brothers 22.8% 21.9% 9.9% — —
Coca-Cola 1.8% 30.0% 4.2% 72.8% —
Exxon 5.1% 34.7% 8.4% 14.2% —
Kellogg's 1.3% 48.5% 4.9% 10.4% —
July
2016
Market 11.5% 4.4% 4.6% — —
Tesla 38.4% -78.6% -2.8% — —
Facebook 23.0% 8.3% 1.4% — —
Netflix 44.6% 5.5% 0.3% — —
Coca-Cola -2.1% 28.8% 3.8% — —
Exxon -3.6% 9.5% 4.2% — —
Kellogg's 0.7% 28.9% 2.1% — —
Characteristics of Example High- and Low-Investment Companies
July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  4
www.researchaffiliates.com
Now, let’s look at a few examples of smart growth stocks,
in particular, Coca-Cola, Exxon, and Kellogg’s.
Over the three periods we examine, these companies have
consistently ranked at the top of large companies sorted
by high profitability and conservative investment. Each has
cultivated its competitive advantage to dig a moat around
its profitability. The managements of these companies
have been careful stewards of their investors’ capital. All
three slowly and steadily grew to global dominance in their
industry.
Yes, of course, we cherry-picked these examples. None-
theless, these vivid descriptions of dumb-versus-smart
growth stocks illustrate empirical facts: companies with
high investment, despite low profitability, fail to provide
strong returns to shareholders, and in contrast, companies
with high profitability, paired with low investment, deliver
sustainably high returns.
More recently, Tesla, Facebook, and Netflix are exam-
ples of companies with an aggressive level of investment
combined with a low return on capital. Are these compa-
nies poised to be the next Apple and Google, or will they
go the way of Compaq, Lehman, and WorldCom? We have
no specific information about the future prospects of these
high-flying market darlings, but history teaches that, on
average, companies with a low return on capital, paired
with aggressive investment, have provided poor returns
to investors.8
Growth of What?
An effective growth strategy should, presumably, provide
higher-than-average growth in EPS, so a logical question
is, which factor strategies are most likely to deliver high
EPS growth? We explore this question using a simple total
real-return decomposition:
Total Real Return = Dividend Yield + Change in Valuation
+ Growth in Real EPS
Given that this relationship holds as an identity from the
definition of total return, we can apply it to any factor
strategy in order to decompose its fundamental drivers of
return.9
We apply the return decomposition to the follow-
ing factors:
1.	 Value vs. Growth (both traditionally and academically
defined)
2.	 High Profitability vs. Low Profitability
3.	 Low Investment vs. High Investment
4.	 High Profitability and Low Investment vs. Low Profit-
ability and High Investment
To construct each of the strategies, we select the 30% of
stocks scoring high and low on these four characteristics,
then capitalization-weight the stocks to form portfolios.
Following the academic literature, we construct portfolios
that are an equally weighted blend of portfolios formed
in the large-cap and small-cap stock universes.10
We also
include results for “traditional” value and growth index
strategies by simulating strategies using the Russell Value
and Growth Index methodologies.
All the strategies we examine represent known sources of
excess returns from published and replicated factors. No
surprise, therefore, that the top-line strategies outperform
those at the bottom. Our new and interesting information
comes from examining the drivers of these returns.
Both the traditional growth factor strategy (expensive
stocks) and the growth index underperform the market
by an economically significant amount, and the amount of
the former is also statistically significant. Growth, as tradi-
tionally defined, provides a lower dividend yield, negative
“High-profitability and
low-investment strategies
deliver higher-than-market
growth in EPS.”
July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  5
www.researchaffiliates.com
Any use of the above content is subject to all important legal disclosures, disclaimers, and terms of use found at
www.researchaffiliates.com, which are fully incorporated by reference as if set out herein at length.
Source: Source: Research Affiliates, LLC, using data from CRSP/Compustat.
* These strategies are based on the Russell 1000 Value Index and Russell 1000 Growth Index methodologies and select stocks from the top 1,000 by
market capitalization according to a composite value/growth score calculated using book-to-price ratio, five-year sales per share growth, and two-year
EPS growth. Stocks are weighted by the product of this score and market capitalization, and rebalanced annually.
Note: Each strategy’s total real return is decomposed into return from dividends, growth in valuation, and growth in real EPS. Nominal earnings are
deflated using the seasonally adjusted Consumer Price Index for All Urban Consumers from the Federal Reserve Bank of St. Louis. Real EPS are
measured as the trailing five-year average real earnings divided by current shares outstanding. The price-to-earnings valuation ratio used in the
valuation growth component uses the same real EPS measure with nominal prices deflated. We compute log returns so that the components of each
strategy’s return sums to the strategy’s total return. In the table, we report these log returns in excess of the log return from a market-capitalization-
weighted benchmark portfolio.
Portfolio Strategy
Log Excess
Real Return
Return from
Dividends
Growth in
Valuation
Growth in
Real EPS
Traditional Value Index* 1.28% 0.88% 0.30% 0.10%
Traditional Growth Index* -0.83% -0.70% -0.06% -0.06%
Difference 2.11% 1.58% 0.36% 0.17%
Value (P/B) 2.04% 0.89% 0.29% 0.86%
Growth (P/B) -1.72% -0.91% -0.41% -0.40%
Difference 3.76% 1.79% 0.70% 1.26%
High Profitability 0.64% -0.26% -0.61% 1.51%
Low Profitability -1.68% -0.29% 2.13% -3.51%
Difference 2.32% 0.04% -2.74% 5.02%
Low Investment 2.01% 0.37% 0.49% 1.15%
High Investment -2.03% -0.63% -0.47% -0.93%
Difference 4.05% 1.01% 0.96% 2.08%
High Profitability/Low Investment 2.29% 0.39% 0.36% 1.53%
Low Profitability/High Investment -2.54% -0.68% -0.22% -1.64%
Difference 4.83% 1.07% 0.58% 3.17%
Panel A. Decomposition of Factor Portfolio Log Real Returns in Excess of the
Market-Capitalization-Weighted Benchmark
Panel B. Correlations Between Value-Add of Strategies and Factor Portfolios
Traditional
Value
Traditional
Growth
Value Growth
High
Profitability
Low
Investment
High Prof.,
Low Inv.
Traditional Value Index 1.00
Traditional Growth Index -0.82 1.00
Value 0.78 -0.72 1.00
Growth -0.91 0.83 -0.81 1.00
High Profitability -0.17 0.45 -0.24 0.19 1.00
Low Investment 0.48 -0.62 0.46 -0.46 -0.51 1.00
High Profitability/Low Investment 0.52 -0.54 0.36 -0.48 -0.16 0.75 1.00
Performance Characteristics of Strategies and Factor Portfolios, Jan 1968–Mar 2017
July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  6
www.researchaffiliates.com
valuation change, and negative relative growth in EPS.11
A
possible explanation is over-extrapolation by investors of
past earnings growth.
Active growth managers do not aim to deliver such a dumb
growth strategy to their investors, yet the average growth
manager’s positive correlation with this growth factor may
explain their average underperformance.12
Unlike the dumb growth provided by expensive stocks, prof-
itability actually delivers higher growth in EPS. Like expen-
sive stocks, profitability also provides negative correlation
of excess returns with value. Unfortunately, high profit-
ability, like expensive stocks, experiences negative excess
returns from lower dividend yields and depreciation of
valuations.
Companies with low investment deliver faster growth in
EPS. The low-investment portfolio also benefits from higher
dividend yields and from appreciation of valuations. With
each component of return contributing to excess return,
the low-investment strategy convincingly outperforms the
market.
Finding that low investment produces high growth in EPS
seems counterintuitive. Doesn’t high investment create
subsequent growth? Here we should ask, growth of what?
Aggressive investment often delivers rapid growth in sales
and assets, but slow or negative growth in EPS.
How does a company grow its scale faster than the compe-
tition? What investment approach builds the marginal
plant, delivers the newest product, expands into new
markets, and/or acquires the competitor? The answer can
be a lower profitability hurdle for investment. Rapid growth
in the scale of a business often comes at the cost of dilution
in EPS and a lower return to shareholders.
Who Benefits?
We have shown that the stocks of companies that engage
in aggressive investment have slower growth in EPS and
produce a poorer return for shareholders. Why would a
company’s management aggressively expand its low-prof-
itability businesses to the detriment of shareholders? One
answer is empire building.
To explore whether empire building may explain overin-
vestment, we regress CEO compensation on the company’s
total assets, controlling for profitability and starting valu-
ation. Our results from this regression illustrate the incen-
tive faced by CEOs to grow the scale of their companies.13
In the most recent fiscal year, for the median level of CEO
compensation, a $1 billion increase in total assets is asso-
ciated with an additional $500,000 in annual compensa-
Any use of the above content is subject to all important legal disclosures, disclaimers, and terms of use found at
www.researchaffiliates.com, which are fully incorporated by reference as if set out herein at length.
CEO Compensation of Russell 3000 Firms on Total Assets, Return on
Equity, and Price-to-Book Ratio, Most Recent Fiscal Year
Dependent Variable: Log of CEO Compensation Firms: 2,206 Adjusted R2: 33%
Coefficient t-stat Median (level)
Log of CEO Compensation $4,136,915
Log of Total Assets 0.33 32.28 $2,363 (mil.)
Return on Equity 0.00 1.14 8.9%
Price-to-Book Ratio 0.01 4.07 2.4
Source: Research Affiliates, LLC, using data from Bloomberg.
“This smart beta growth
strategy displays
relatively low correlation
with value.”
July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  7
www.researchaffiliates.com
tion. A doubling of assets is associated with an additional
$1 million in annual compensation. Clearly, CEOs have an
incentive to increase the scale of their companies.
Sustainable Smart Growth
We observe that both high-profitability and low-invest-
ment strategies deliver higher-than-market growth in EPS.
What happens if we combine the two? Such a smart growth
strategy combines the best features of the high-profitability
and low-investment portfolios, investing in companies with
high EPS growth and high dividend yield to deliver sizable
excess returns.
This smart beta growth strategy also displays relatively low
correlation with value. While not negatively correlated—as
in the case of a growth strategy constructed as the inverse
of value— the low correlation implies ample opportunity to
diversify value strategies. Investors are buying more than
just exposure to value companies whose earnings tend to
rebound after periods of low earnings growth.
Companies that place growth in the scale of their business
above the interests of their shareholders would seem to be
failing a basic test of corporate governance, the “G” in ESG
(environmental/social/governance). Rapid and unprofit-
able growth in the scale of a business may fail the test of
environmental sustainability as well. How much environ-
mental damage might we avoid if we reduced corporate
empire building by investing more carefully? This subject
suggests opportunity for additional research.
Conclusion
Growth managers strive to pick the next Google or Micro-
soft and to be rewarded with outsized profits as these new
star companies rise to become tomorrow’s behemoths. The
poor average performance of growth funds demonstrates
that consistently identifying such stocks ex ante isn’t easy.
Companies with rapidly expanding EPS too often trade at
expensive valuations. For every Google, there are many
also-rans.
We demonstrate a systematic method of growth investing
that avoids the slower growth in EPS and negative excess
returns of traditional growth strategies. By investing for
sustainable growth, as indicated by profitable companies
with disciplined investment, investors can diversify their
value strategies, while achieving faster growth in EPS and
positive excess returns. Our research points to a smart beta
strategy that aims for sustainable growth.
July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  8
www.researchaffiliates.com
Endnotes
1. For instance, see Exhibit 2 in Hsu, Myers, and Whitby (2016).
2. See Jones and Wermers (2011) and Barras, Scaillett, and Wermers
(2010).
3. According to Hsu, Myers, and Whitby (2016), growth managers as
a group have generated an average annualized return of 8.4%
over the period January 1991–June 2013, whereas the S&P 500
Index has generated a 9.0% average return over the same period.
4. Two main explanations are offered for why these new factors deliver
superior performance. The first is a risk-based explanation
that argues if companies continue to be highly profitable while
engaging in relatively minimal investment, it must be because
they face a high cost of capital; otherwise, why wouldn’t they
invest? A high cost of capital implies that these companies are
somewhat riskier, so investors must be compensated for the risk
in the form of higher expected returns. The second explanation
is behavioral, and argues that profitability is persistent, but
investors do not fully realize this; therefore, the persistence of
profitability is not fully reflected in current prices. The behavioral
explanation for the investment factor is that investors tend to
extrapolate high growth in assets into high growth in earnings
and, thus, tend to overpay for the earnings growth.
5. See Rivkin and Porter (1999).
6. The largest of these, Digital Equipment Corporation, was acquired at
a then-record price of just over $9 billion.
7. Compaq was acquired by Hewlett-Packard (HP) in 2002. Gurrib (2015)
shows that Compaq’s shareholders benefited more than HP
shareholders from higher EPS from the merger. We find it unlikely,
however, that this one-time increase in EPS from the merger
adequatelycompensatedCompaqshareholderswhoexperienced
negative returns in 1999 and 2000 as well as forgone earnings
yield as a result of imprudent acquisitions. WorldCom filed for
Chapter 11 bankruptcy in 2002; unambiguously, shareholders
were worse off as a result. In either case, shareholders paid a
multiple for future growth and returns that were not realized.
8. We are fans of Elon Musk and his vision for self-driving electrical cars,
colonizing Mars, the Hyperloop, and so forth, but in July 2017, as
we are completing this article, the capitalization of Tesla is almost
45% larger than the valuation of Ford, with much lower output
and much lower profits. Are we certain that Tesla will grow to
dominate the very competitive automobile market as the stock
is currently priced? Or is everyone such a fan of Elon Musk that
they are willing to pay top dollar for participating in his projects
and underestimating the risk?
9. Further information is provided in the appendix.
10. In the appendix, we provide results for the large-cap and small-cap
portfolios, along with the details of our portfolio construction.
11. This may seem counterintuitive, however, considering the return
decompositions of the large-cap and small-cap universes,
which we provide in the appendix. We find that within the large-
cap universe, the earnings growth contribution is as expected:
positive for growth and negative (or at least negligible) for value.
Within the small-cap universe these relationships are reversed,
and the small-cap effect dominates the blended portfolios in
the table “Decomposition of Log Real Returns of Large-Cap
and Small-Cap Factor Portfolios in Excess of Benchmark.” One
possible explanation for the negative contribution from earnings
growth among small growth companies is that these small
companies tend to have more uncertain and volatile earnings.
If investors over-extrapolate future earnings growth of these
small firms, their stock price will be bid up relative to their book
value and realized earnings growth will subsequently create
a negative drag on returns as earnings mean revert from an
unsustainable level. For small-cap value companies, depressed
earnings rebound from a smaller base over the holding period, so
that earnings growth contributes positively to returns.
12. Using data from Hsu, Myers, and Whitby (2016), we regress the
AUM-weighted average one-month mutual fund returns for
growth managers in excess of the risk-free rate on a Fama–
French three-factor model plus momentum. We find that the
growth managers have a large negative (−0.26) and statistically
significant (t-stat of −12.91) loading on the Fama–French value
factor.
13. This regression is by no means meant to be conclusive; in particular,
because it is based on just one cross-section of data and does not
account for how these relationships may have changed over time.
The regression is only meant to illustrate the incentive to grow
assets that is faced by CEOs and that may create unintended
consequences for investors.
References
Barras, Laurent, Olivier Scaillet, and Russ Wermers. 2010. “False
Discoveries in Mutual Fund Performance: Measuring
Luck in Estimated Alphas.” Journal of Finance, vol. 65, no. 1
(February):179–216.
Fama, Eugene, and Kenneth French. 1992. “The Cross-Section of Expected
Stock Returns.” Journal of Finance, vol. 47, no. 2 (June):427–465.
Fama, Eugene, and Kenneth French. 2015. “A Five-Factor Asset Pricing
Model.” Journal of Financial Economics, vol. 116, no. 1 (April):1–22.
Gurrib, Ikhlaas. 2015. “Do Shareholders Benefit from a Merger? The
Case of Compaq and HP Merger.” International Journal of Trade,
Economics, and Finance, vol. 6, no. 1 (February):53–57.
Hsu, Jason, Brett Myers, and Ryan Whitby. 2016. “Timing Poorly: A
Guide to Generating Poor Returns While Investing in Successful
Strategies.” Journal of Portfolio Management, vol. 42, no. 2.
(Winter):90–98.
Jones, Robert, and Russ Wermers. 2011. “Active Management in Mostly
Efficient Markets.” Financial Analysts Journal, vol. 67, no. 6
(November/December):29–45.
Rivkin, Jan, and Michael Porter. 1999. “Matching Dell.” Harvard Business
School Case 799-158 (June).
The appendix is available on our website at www.researchaffiliates.com.
July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  9
www.researchaffiliates.com
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intended as an offer or a solicitation for the
purchase and/or sale of any security, deriva-
tive, commodity, or financial instrument, nor
is it advice or a recommendation to enter into
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(i.e., a simulation) and not to an asset manage-
ment product. No allowance has been made
for trading costs or management fees, which
would reduce investment performance. Actual
results may differ. Index returns represent
back-tested performance based on rules used
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FundamentalIndex™methodology,includingan
accounting data-based non-capitalization data
processing system and method for creating and
weighting an index of securities, are protected
by various patents, and patent-pending intel-
lectual property of Research Affiliates, LLC.
(See all applicable US Patents, Patent Publica-
tions, Patent Pending intellectual property and
protected trademarks located at https://www.
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html#d, which are fully incorporated herein.)
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2017 08-04 rafi

  • 1. ASmartBetaforSustainable Growth Chris Brightman, CFA, Mark Clements, PhD, and Vitali Kalesnik, PhD Investors have long used the “style box” to diversify their equity portfolios by allocating to a mix of growth and value funds. As intended, diversifying by style has reduced tracking error. Unfortunately, it hasn’t delivered the hoped-for outperformance. While value funds have outperformed the market, growth funds have underperformed.1 Value indices are built on strong theoretical foundations and have provided a long history of positive excess returns. Traditional growth indices, constructed as the inverse of value, lack a robust theoretical foundation and have provided July 2017 May 2017 WhyFactorTiltsAreNot Smart“SmartBeta” Rob Arnott, Mark Clements, PhD, and Vitali Kalesnik, PhD January 2017 ASmootherPathto Outperformancewith Multi-FactorSmartBeta Investing ChrisBrightman,CFA,VitaliKalesnik,PhD, Feifei Li, PhD, and Joseph Shim Key Points 1. Traditional growth indices, designed as the inverse of value, have delivered negative excess returns and failed to provide faster growth in earnings per share (EPS). Active growth managers, who track growth indices, have likewise underperformed the market. 2. Companies that invest aggressively to grow assets and sales despite a low return on capital perform poorly, attributable to negative relative growth in EPS. Companies with a high return on capital and more disciplined growth strongly outperform, attributable to high relative growth in EPS. 3. A smart beta growth strategy, by investing in profitable companies with conservative investment practices, can diversify value strategies while delivering a strong positive excess return from sustainably faster growth in EPS. FURTHER READING CONTACT US Web: www.researchaffiliates.com Americas Phone: +1.949.325.8700 Email: info@researchaffiliates.com Media: hewesteam@hewescomm.com EMEA Phone: +44.2036.401.770 Email: uk@researchaffiliates.com Media: ra@jpespartners.com
  • 2. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  2 www.researchaffiliates.com a long history of negative excess returns. Even worse for growth investors, active growth managers have delivered underperformance along with high fees.2 Can investors find a simple systematic growth strategy to diversify their value funds that also provides a positive excess return? Yes! We show in this article that a smart beta growth strategy—investing in companies with sustain- ably high earnings-per-share (EPS) growth, as identified by high profitability and conservative investment—can diver- sify value indices, while also delivering a positive excess return. The Failure of Growth Funds In 1993, Fama and French synthesized previous academic work on the sources of equity returns to create the famous three-factor model: market, value, and size. Soon thereaf- ter, “growth” came to be interpreted as the inverse of value. The logical assumption was that investors, in an efficient market, will set higher stock prices relative to book value in recognition of stronger future growth in EPS. Following this interpretation, growth indices were created as the inverse of value indices; they were simply indices of expensively priced stocks. We now know, however, that more expensive stocks persistently underperform cheaper stocks. Unsurprisingly, traditional growth indices, inspired by this definition of growth, have duly underperformed. Active managers endeavor to identify unrecognized or underappreciated companies likely to deliver future growth in EPS that more than compensates for any price premium. Unfortunately for the investors in these funds, active growth managers, much like growth indices, have generally failed to deliver positive excess returns. Active growth managers, on average, underperformed the market by nearly 60 basis points a year from January 1991 to June 2013—and this is before fees! 3 Smart Beta Smart beta seeks to deliver well-researched, systematic sources of excess return through transparent, low-cost investment vehicles. Informed by the Fama–French (2015) five-factor model, we explain how to create a smart beta growth strategy by combining the two new factors—prof- itability and investment—Fama and French recently added to their three-factor model. Today, profitability and investment are well-known factors. The excess returns associated with these factors have been thoroughly documented in earlier papers.4 In this article, we demonstrate that the fundamental source of the excess returns delivered by profitability and conservative invest- ment can be attributed to sustainably faster growth in EPS, the very attribute that growth funds attempt to provide. From this finding, we show these two new factors can be combined to construct a smart beta strategy that delivers persistent outperformance through high growth in EPS. Smart vs. Dumb Growth Stocks To illustrate the intuition supporting the empirical evidence, we explore several examples of smart and dumb growth stocks. The stock of a company with a low return on capital and a management investing rapidly to increase its scale of operations is a dumb growth stock. In contrast, the stock of a company with a high return on capital with a management that demonstrates discipline and skill in capital allocation is a smart growth stock. Our examples look at three points in time: the height of the dot-com bubble (July 1999), the eve of the global financial crisis (July 2000), and more recently, July 2016. Let’s begin with the dumb growth stocks. We examine three dot-com stars—Compaq, Yahoo, and WorldCom—which, like many companies in the late 1990s, were aggressively investing for growth in the new inter- net-connected economy. “Diversifying by style… hasn’t delivered the hoped- for outperformance.”
  • 3. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  3 www.researchaffiliates.com Compaq was the largest manufacturer of personal comput- ers in the 1990s.5 To build scale, Compaq, despite (or because of) falling profits, invested heavily in a series of aggressive acquisitions.6 These acquisitions failed to produce the hoped-for economies of scale, while the rapid expansion caused quality control problems. We were not able, for example, to write this article on a Compaq machine, because the company was acquired at a fraction of its peak price by Hewlett-Packard in 2002.7 Yahoo, in the late 1990s, was expected by the stock market to attain a leading (if not the dominant) place in the excit- ing new field of web search. Despite little apparent profit- ability at the time, Yahoo invested aggressively to capture “eyeballs” and traffic. Although web search did become extremely valuable, Yahoo did not. Simply put, Google came along and did search much better. WorldCom was the second-largest long-distance commu- nication provider in 1999, a position achieved through aggressive acquisitions of technologies and networks. WorldCom financed its (loss-making) growth using rapid stock issuance, large amounts of debt, and some account- ing fraud. When investors discovered that the industry had massively overinvested in fiber optic communication infra- structure, the game was up. WorldCom filed for Chapter 11 protection in 2002. Financials, in the lead-up to the global financial crisis of 2008, are another example of dumb growth. Politicians, the media, and too many investors viewed securitization of mortgage debt as modern financial alchemy. Many of the banks that were among the most aggressive in stuffing their balance sheets with mortgage-backed securities have since failed or been acquired at fire-sale prices, leaving investors high and dry. Any use of the above content is subject to all important legal disclosures, disclaimers, and terms of use found at www.researchaffiliates.com, which are fully incorporated by reference as if set out herein at length. Source: Research Affiliates, LLC, using data from CRSP/Compustat. Company Investment Return on Equity Earnings Yield Subsequent 5-Year Total Return Subsequent 10-Year Total Return July 1999 Market 31.6% 6.3% 4.0% 29.75% 20.79% Compaq 57.5% -24.2% -6.8% — — MCI WorldCom 285.9% -5.7% -1.6% — — Yahoo 338.3% 4.8% 0.1% -15.5% -63.6% Coca-Cola 6.1% 94.2% 4.4% 14.7% 20.8% Exxon -3.6% 14.7% 3.4% 29.6% 124.8% Kellogg's 3.6% 56.5% 3.8% 48.8% 87.5% July 2007 Market 21.0% 10.8% 4.9% 5.5% - Wachovia 35.8% 11.1% 7.9% — — Merrill Lynch 23.5% 20.9% 10.1% — — Lehman Brothers 22.8% 21.9% 9.9% — — Coca-Cola 1.8% 30.0% 4.2% 72.8% — Exxon 5.1% 34.7% 8.4% 14.2% — Kellogg's 1.3% 48.5% 4.9% 10.4% — July 2016 Market 11.5% 4.4% 4.6% — — Tesla 38.4% -78.6% -2.8% — — Facebook 23.0% 8.3% 1.4% — — Netflix 44.6% 5.5% 0.3% — — Coca-Cola -2.1% 28.8% 3.8% — — Exxon -3.6% 9.5% 4.2% — — Kellogg's 0.7% 28.9% 2.1% — — Characteristics of Example High- and Low-Investment Companies
  • 4. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  4 www.researchaffiliates.com Now, let’s look at a few examples of smart growth stocks, in particular, Coca-Cola, Exxon, and Kellogg’s. Over the three periods we examine, these companies have consistently ranked at the top of large companies sorted by high profitability and conservative investment. Each has cultivated its competitive advantage to dig a moat around its profitability. The managements of these companies have been careful stewards of their investors’ capital. All three slowly and steadily grew to global dominance in their industry. Yes, of course, we cherry-picked these examples. None- theless, these vivid descriptions of dumb-versus-smart growth stocks illustrate empirical facts: companies with high investment, despite low profitability, fail to provide strong returns to shareholders, and in contrast, companies with high profitability, paired with low investment, deliver sustainably high returns. More recently, Tesla, Facebook, and Netflix are exam- ples of companies with an aggressive level of investment combined with a low return on capital. Are these compa- nies poised to be the next Apple and Google, or will they go the way of Compaq, Lehman, and WorldCom? We have no specific information about the future prospects of these high-flying market darlings, but history teaches that, on average, companies with a low return on capital, paired with aggressive investment, have provided poor returns to investors.8 Growth of What? An effective growth strategy should, presumably, provide higher-than-average growth in EPS, so a logical question is, which factor strategies are most likely to deliver high EPS growth? We explore this question using a simple total real-return decomposition: Total Real Return = Dividend Yield + Change in Valuation + Growth in Real EPS Given that this relationship holds as an identity from the definition of total return, we can apply it to any factor strategy in order to decompose its fundamental drivers of return.9 We apply the return decomposition to the follow- ing factors: 1. Value vs. Growth (both traditionally and academically defined) 2. High Profitability vs. Low Profitability 3. Low Investment vs. High Investment 4. High Profitability and Low Investment vs. Low Profit- ability and High Investment To construct each of the strategies, we select the 30% of stocks scoring high and low on these four characteristics, then capitalization-weight the stocks to form portfolios. Following the academic literature, we construct portfolios that are an equally weighted blend of portfolios formed in the large-cap and small-cap stock universes.10 We also include results for “traditional” value and growth index strategies by simulating strategies using the Russell Value and Growth Index methodologies. All the strategies we examine represent known sources of excess returns from published and replicated factors. No surprise, therefore, that the top-line strategies outperform those at the bottom. Our new and interesting information comes from examining the drivers of these returns. Both the traditional growth factor strategy (expensive stocks) and the growth index underperform the market by an economically significant amount, and the amount of the former is also statistically significant. Growth, as tradi- tionally defined, provides a lower dividend yield, negative “High-profitability and low-investment strategies deliver higher-than-market growth in EPS.”
  • 5. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  5 www.researchaffiliates.com Any use of the above content is subject to all important legal disclosures, disclaimers, and terms of use found at www.researchaffiliates.com, which are fully incorporated by reference as if set out herein at length. Source: Source: Research Affiliates, LLC, using data from CRSP/Compustat. * These strategies are based on the Russell 1000 Value Index and Russell 1000 Growth Index methodologies and select stocks from the top 1,000 by market capitalization according to a composite value/growth score calculated using book-to-price ratio, five-year sales per share growth, and two-year EPS growth. Stocks are weighted by the product of this score and market capitalization, and rebalanced annually. Note: Each strategy’s total real return is decomposed into return from dividends, growth in valuation, and growth in real EPS. Nominal earnings are deflated using the seasonally adjusted Consumer Price Index for All Urban Consumers from the Federal Reserve Bank of St. Louis. Real EPS are measured as the trailing five-year average real earnings divided by current shares outstanding. The price-to-earnings valuation ratio used in the valuation growth component uses the same real EPS measure with nominal prices deflated. We compute log returns so that the components of each strategy’s return sums to the strategy’s total return. In the table, we report these log returns in excess of the log return from a market-capitalization- weighted benchmark portfolio. Portfolio Strategy Log Excess Real Return Return from Dividends Growth in Valuation Growth in Real EPS Traditional Value Index* 1.28% 0.88% 0.30% 0.10% Traditional Growth Index* -0.83% -0.70% -0.06% -0.06% Difference 2.11% 1.58% 0.36% 0.17% Value (P/B) 2.04% 0.89% 0.29% 0.86% Growth (P/B) -1.72% -0.91% -0.41% -0.40% Difference 3.76% 1.79% 0.70% 1.26% High Profitability 0.64% -0.26% -0.61% 1.51% Low Profitability -1.68% -0.29% 2.13% -3.51% Difference 2.32% 0.04% -2.74% 5.02% Low Investment 2.01% 0.37% 0.49% 1.15% High Investment -2.03% -0.63% -0.47% -0.93% Difference 4.05% 1.01% 0.96% 2.08% High Profitability/Low Investment 2.29% 0.39% 0.36% 1.53% Low Profitability/High Investment -2.54% -0.68% -0.22% -1.64% Difference 4.83% 1.07% 0.58% 3.17% Panel A. Decomposition of Factor Portfolio Log Real Returns in Excess of the Market-Capitalization-Weighted Benchmark Panel B. Correlations Between Value-Add of Strategies and Factor Portfolios Traditional Value Traditional Growth Value Growth High Profitability Low Investment High Prof., Low Inv. Traditional Value Index 1.00 Traditional Growth Index -0.82 1.00 Value 0.78 -0.72 1.00 Growth -0.91 0.83 -0.81 1.00 High Profitability -0.17 0.45 -0.24 0.19 1.00 Low Investment 0.48 -0.62 0.46 -0.46 -0.51 1.00 High Profitability/Low Investment 0.52 -0.54 0.36 -0.48 -0.16 0.75 1.00 Performance Characteristics of Strategies and Factor Portfolios, Jan 1968–Mar 2017
  • 6. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  6 www.researchaffiliates.com valuation change, and negative relative growth in EPS.11 A possible explanation is over-extrapolation by investors of past earnings growth. Active growth managers do not aim to deliver such a dumb growth strategy to their investors, yet the average growth manager’s positive correlation with this growth factor may explain their average underperformance.12 Unlike the dumb growth provided by expensive stocks, prof- itability actually delivers higher growth in EPS. Like expen- sive stocks, profitability also provides negative correlation of excess returns with value. Unfortunately, high profit- ability, like expensive stocks, experiences negative excess returns from lower dividend yields and depreciation of valuations. Companies with low investment deliver faster growth in EPS. The low-investment portfolio also benefits from higher dividend yields and from appreciation of valuations. With each component of return contributing to excess return, the low-investment strategy convincingly outperforms the market. Finding that low investment produces high growth in EPS seems counterintuitive. Doesn’t high investment create subsequent growth? Here we should ask, growth of what? Aggressive investment often delivers rapid growth in sales and assets, but slow or negative growth in EPS. How does a company grow its scale faster than the compe- tition? What investment approach builds the marginal plant, delivers the newest product, expands into new markets, and/or acquires the competitor? The answer can be a lower profitability hurdle for investment. Rapid growth in the scale of a business often comes at the cost of dilution in EPS and a lower return to shareholders. Who Benefits? We have shown that the stocks of companies that engage in aggressive investment have slower growth in EPS and produce a poorer return for shareholders. Why would a company’s management aggressively expand its low-prof- itability businesses to the detriment of shareholders? One answer is empire building. To explore whether empire building may explain overin- vestment, we regress CEO compensation on the company’s total assets, controlling for profitability and starting valu- ation. Our results from this regression illustrate the incen- tive faced by CEOs to grow the scale of their companies.13 In the most recent fiscal year, for the median level of CEO compensation, a $1 billion increase in total assets is asso- ciated with an additional $500,000 in annual compensa- Any use of the above content is subject to all important legal disclosures, disclaimers, and terms of use found at www.researchaffiliates.com, which are fully incorporated by reference as if set out herein at length. CEO Compensation of Russell 3000 Firms on Total Assets, Return on Equity, and Price-to-Book Ratio, Most Recent Fiscal Year Dependent Variable: Log of CEO Compensation Firms: 2,206 Adjusted R2: 33% Coefficient t-stat Median (level) Log of CEO Compensation $4,136,915 Log of Total Assets 0.33 32.28 $2,363 (mil.) Return on Equity 0.00 1.14 8.9% Price-to-Book Ratio 0.01 4.07 2.4 Source: Research Affiliates, LLC, using data from Bloomberg. “This smart beta growth strategy displays relatively low correlation with value.”
  • 7. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  7 www.researchaffiliates.com tion. A doubling of assets is associated with an additional $1 million in annual compensation. Clearly, CEOs have an incentive to increase the scale of their companies. Sustainable Smart Growth We observe that both high-profitability and low-invest- ment strategies deliver higher-than-market growth in EPS. What happens if we combine the two? Such a smart growth strategy combines the best features of the high-profitability and low-investment portfolios, investing in companies with high EPS growth and high dividend yield to deliver sizable excess returns. This smart beta growth strategy also displays relatively low correlation with value. While not negatively correlated—as in the case of a growth strategy constructed as the inverse of value— the low correlation implies ample opportunity to diversify value strategies. Investors are buying more than just exposure to value companies whose earnings tend to rebound after periods of low earnings growth. Companies that place growth in the scale of their business above the interests of their shareholders would seem to be failing a basic test of corporate governance, the “G” in ESG (environmental/social/governance). Rapid and unprofit- able growth in the scale of a business may fail the test of environmental sustainability as well. How much environ- mental damage might we avoid if we reduced corporate empire building by investing more carefully? This subject suggests opportunity for additional research. Conclusion Growth managers strive to pick the next Google or Micro- soft and to be rewarded with outsized profits as these new star companies rise to become tomorrow’s behemoths. The poor average performance of growth funds demonstrates that consistently identifying such stocks ex ante isn’t easy. Companies with rapidly expanding EPS too often trade at expensive valuations. For every Google, there are many also-rans. We demonstrate a systematic method of growth investing that avoids the slower growth in EPS and negative excess returns of traditional growth strategies. By investing for sustainable growth, as indicated by profitable companies with disciplined investment, investors can diversify their value strategies, while achieving faster growth in EPS and positive excess returns. Our research points to a smart beta strategy that aims for sustainable growth.
  • 8. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  8 www.researchaffiliates.com Endnotes 1. For instance, see Exhibit 2 in Hsu, Myers, and Whitby (2016). 2. See Jones and Wermers (2011) and Barras, Scaillett, and Wermers (2010). 3. According to Hsu, Myers, and Whitby (2016), growth managers as a group have generated an average annualized return of 8.4% over the period January 1991–June 2013, whereas the S&P 500 Index has generated a 9.0% average return over the same period. 4. Two main explanations are offered for why these new factors deliver superior performance. The first is a risk-based explanation that argues if companies continue to be highly profitable while engaging in relatively minimal investment, it must be because they face a high cost of capital; otherwise, why wouldn’t they invest? A high cost of capital implies that these companies are somewhat riskier, so investors must be compensated for the risk in the form of higher expected returns. The second explanation is behavioral, and argues that profitability is persistent, but investors do not fully realize this; therefore, the persistence of profitability is not fully reflected in current prices. The behavioral explanation for the investment factor is that investors tend to extrapolate high growth in assets into high growth in earnings and, thus, tend to overpay for the earnings growth. 5. See Rivkin and Porter (1999). 6. The largest of these, Digital Equipment Corporation, was acquired at a then-record price of just over $9 billion. 7. Compaq was acquired by Hewlett-Packard (HP) in 2002. Gurrib (2015) shows that Compaq’s shareholders benefited more than HP shareholders from higher EPS from the merger. We find it unlikely, however, that this one-time increase in EPS from the merger adequatelycompensatedCompaqshareholderswhoexperienced negative returns in 1999 and 2000 as well as forgone earnings yield as a result of imprudent acquisitions. WorldCom filed for Chapter 11 bankruptcy in 2002; unambiguously, shareholders were worse off as a result. In either case, shareholders paid a multiple for future growth and returns that were not realized. 8. We are fans of Elon Musk and his vision for self-driving electrical cars, colonizing Mars, the Hyperloop, and so forth, but in July 2017, as we are completing this article, the capitalization of Tesla is almost 45% larger than the valuation of Ford, with much lower output and much lower profits. Are we certain that Tesla will grow to dominate the very competitive automobile market as the stock is currently priced? Or is everyone such a fan of Elon Musk that they are willing to pay top dollar for participating in his projects and underestimating the risk? 9. Further information is provided in the appendix. 10. In the appendix, we provide results for the large-cap and small-cap portfolios, along with the details of our portfolio construction. 11. This may seem counterintuitive, however, considering the return decompositions of the large-cap and small-cap universes, which we provide in the appendix. We find that within the large- cap universe, the earnings growth contribution is as expected: positive for growth and negative (or at least negligible) for value. Within the small-cap universe these relationships are reversed, and the small-cap effect dominates the blended portfolios in the table “Decomposition of Log Real Returns of Large-Cap and Small-Cap Factor Portfolios in Excess of Benchmark.” One possible explanation for the negative contribution from earnings growth among small growth companies is that these small companies tend to have more uncertain and volatile earnings. If investors over-extrapolate future earnings growth of these small firms, their stock price will be bid up relative to their book value and realized earnings growth will subsequently create a negative drag on returns as earnings mean revert from an unsustainable level. For small-cap value companies, depressed earnings rebound from a smaller base over the holding period, so that earnings growth contributes positively to returns. 12. Using data from Hsu, Myers, and Whitby (2016), we regress the AUM-weighted average one-month mutual fund returns for growth managers in excess of the risk-free rate on a Fama– French three-factor model plus momentum. We find that the growth managers have a large negative (−0.26) and statistically significant (t-stat of −12.91) loading on the Fama–French value factor. 13. This regression is by no means meant to be conclusive; in particular, because it is based on just one cross-section of data and does not account for how these relationships may have changed over time. The regression is only meant to illustrate the incentive to grow assets that is faced by CEOs and that may create unintended consequences for investors. References Barras, Laurent, Olivier Scaillet, and Russ Wermers. 2010. “False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas.” Journal of Finance, vol. 65, no. 1 (February):179–216. Fama, Eugene, and Kenneth French. 1992. “The Cross-Section of Expected Stock Returns.” Journal of Finance, vol. 47, no. 2 (June):427–465. Fama, Eugene, and Kenneth French. 2015. “A Five-Factor Asset Pricing Model.” Journal of Financial Economics, vol. 116, no. 1 (April):1–22. Gurrib, Ikhlaas. 2015. “Do Shareholders Benefit from a Merger? The Case of Compaq and HP Merger.” International Journal of Trade, Economics, and Finance, vol. 6, no. 1 (February):53–57. Hsu, Jason, Brett Myers, and Ryan Whitby. 2016. “Timing Poorly: A Guide to Generating Poor Returns While Investing in Successful Strategies.” Journal of Portfolio Management, vol. 42, no. 2. (Winter):90–98. Jones, Robert, and Russ Wermers. 2011. “Active Management in Mostly Efficient Markets.” Financial Analysts Journal, vol. 67, no. 6 (November/December):29–45. Rivkin, Jan, and Michael Porter. 1999. “Matching Dell.” Harvard Business School Case 799-158 (June). The appendix is available on our website at www.researchaffiliates.com.
  • 9. July 2017 . Brightman, Clements, and Kalesnik . A Smart Beta for Sustainable Growth  9 www.researchaffiliates.com The material contained in this document is for general information purposes only. It is not intended as an offer or a solicitation for the purchase and/or sale of any security, deriva- tive, commodity, or financial instrument, nor is it advice or a recommendation to enter into any transaction. Research results relate only to a hypothetical model of past performance (i.e., a simulation) and not to an asset manage- ment product. No allowance has been made for trading costs or management fees, which would reduce investment performance. Actual results may differ. Index returns represent back-tested performance based on rules used in the creation of the index, are not a guaran- tee of future performance, and are not indica- tive of any specific investment. Indexes are not managed investment products and cannot be invested in directly. This material is based on information that is considered to be reliable, but Research Affiliates™ and its related enti- ties(collectively“ResearchAffiliates”)makethis informationavailableonan“asis”basiswithout a duty to update, make warranties, express or implied, regarding the accuracy of the informa- tion contained herein. Research Affiliates is not responsible for any errors or omissions or for resultsobtainedfromtheuseofthisinformation. Nothing contained in this material is intended to constitute legal, tax, securities, financial or investmentadvice,noranopinionregardingthe appropriateness of any investment. The infor- mation contained in this material should not be acted upon without obtaining advice from a licensed professional. Research Affiliates, LLC, is an investment adviser registered under the Investment Advisors Act of 1940 with the U.S. SecuritiesandExchangeCommission(SEC).Our registration as an investment adviser does not imply a certain level of skill or training. Investorsshouldbeawareoftherisksassociated with data sources and quantitative processes used in our investment management process. Errorsmayexistindataacquiredfromthirdparty vendors, the construction of model portfolios, and in coding related to the index and portfolio constructionprocess.WhileResearchAffiliates takes steps to identify data and process errors so as to minimize the potential impact of such errors on index and portfolio performance, we cannotguaranteethatsucherrorswillnotoccur. The trademarks Fundamental Index™, RAFI™, Research Affiliates Equity™, RAE™, and the Research Affiliates™ trademark and corporate nameandallrelatedlogosaretheexclusiveintel- lectual property of Research Affiliates, LLC and in some cases are registered trademarks in the U.S.andothercountries.Variousfeaturesofthe FundamentalIndex™methodology,includingan accounting data-based non-capitalization data processing system and method for creating and weighting an index of securities, are protected by various patents, and patent-pending intel- lectual property of Research Affiliates, LLC. (See all applicable US Patents, Patent Publica- tions, Patent Pending intellectual property and protected trademarks located at https://www. researchaffiliates.com/en_us/about-us/legal. html#d, which are fully incorporated herein.) Any use of these trademarks, logos, patented or patent pending methodologies without the prior written permission of Research Affiliates, LLC,isexpresslyprohibited.ResearchAffiliates, LLC,reservestherighttotakeanyandallneces- sary action to preserve all of its rights, title, and interest in and to these marks, patents or pend- ing patents. The views and opinions expressed are those of theauthorandnotnecessarilythoseofResearch Affiliates, LLC. The opinions are subject to change without notice. ©2017 Research Affiliates, LLC. All rights reserved Disclosures