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Trading in Facebook Shows Indexing Has Little to Do With Valuation-Based Dislocations

In Small Caps, Financials Rise Most From GDP Growth

A Primer on Country Classification in the Context of Saudi Arabia’s Upgrade to Emerging Market Status

Return Efficacy of Profitability Metrics in International Small-Cap Equity

Indexing With Large Caps at the Core

Trading in Facebook Shows Indexing Has Little to Do With Valuation-Based Dislocations

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Philip Murphy

Managing Director, Global Head of Index Governance

S&P Dow Jones Indices

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By the close of trading on Thursday, July 26, 2018, shares in Facebook (FB) traded down almost $99 billion, or 19% of their market value. Despite FB’s beginning weight of 2.16%, the S&P 500® was almost flat, losing 0.30% on the day. I suspect you will not hear much about this from those who attempt to create an association between indexing and bubble building. However, for those looking to understand the market, as well as potential changes brought on through the adoption of indexing as an investment strategy, yesterday’s trading in FB shares offered several things to think about.

At the close of July 25, 2018, the S&P 500 included 2,398,606,000 FB shares, substantially all of the company’s shares outstanding. Their value of $217.50 each gave FB a market value of $521.7 billion. At the close of July 26, 2018, the S&P 500 still included the same 2,398,606,000 FB shares. The index did not “sell”, or “drop” in index parlance, one share of FB stock. Nevertheless, by the close of trading, FB was valued at $176.26 per share, or about $422.8 billion for the whole company.

On July 26, 2018, index funds that track the S&P 500 would have no need to sell FB shares, unless they were managing cash flows out of their funds. However, if they were engaging in such trading, they would likely sell proportionate amounts of all stocks in the S&P 500, not only FB. Therefore, if index funds were predominantly responsible for the dislocation in FB shares, the overall market would have sold off to a similar extent.

After the fact, some may draw the conclusion that FB was overvalued. While possibly true, it would not be the most helpful lesson to draw. When the company warned about slowing revenue and contracting margins, it was new information for shareholders to digest. If investors had overvalued the shares on their way up, it was not because of cap-weighted index funds. Those who estimate company value had been overly optimistic and needed to correct their forward-looking assumptions. In other words, active investors set the share price. Investing in market cap-weighted index funds does not create valuation dislocations in individual stocks or bubbles in the market in general. The evidence lies in Facebook

The posts on this blog are opinions, not advice. Please read our Disclaimers.

In Small Caps, Financials Rise Most From GDP Growth

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Jodie Gunzberg

Managing Director, Head of U.S. Equities

S&P Dow Jones Indices

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On Friday morning the GDP (Gross Domestic Product) for Q2 2018 is set to be announced, and the consensus estimate from the Wall Street Journal survey of more than 60 economists is at 4.1%, the highest (actual) growth since Q3 2014.  Although forecasts greatly vary this quarter, the main factors likely influencing growth are tax policy, retail sales, international trade and manufacturing shipments.

Source: http://projects.wsj.com/econforecast/#ind=gdp&r=12

While U.S. GDP growth is beneficial for stocks in general, the growth has been better for small caps than for large- or mid-caps.  On average for every 1% of GDP growth, the S&P SmallCap 600 has risen 5.2%, while S&P MidCap 400 and S&P 500 have risen a respective 4.9% and 4.0%.  Within small caps, the financials, health care and energy sectors have risen most with growth, gaining on average 6.9%, 6.4% and 6.3%, respectively for every 1% of GDP growth.

Sources: S&P Dow Jones Indices and Bureau of Economic Analysis, U.S. department of Commerce. https://www.bea.gov/national/index.htm#gdp  Data is Gross Domestic Product percent change from preceding period, annual. S&P 600 and sector data is from 1995 – Dec 2017, except Real Estate is from 2002. All Data ending Dec. 29 ,2017. Index data is Total Return.

Although in small caps, financials have delivered 50 basis points more of return than health care from each 1% of GDP growth on average, the financial small cap premium is by far the most sensitive to GDP growth.  For every 1% of GDP growth on average, small cap financials have returned 2.4% more than large cap financials.

Sources: S&P Dow Jones Indices and Bureau of Economic Analysis, U.S. department of Commerce. https://www.bea.gov/national/index.htm#gdp  Data is Gross Domestic Product percent change from preceding period, annual. S&P 600 and sector data is from 1995 – Dec 2017, except Real Estate is from 2002. All Data ending Dec. 29 ,2017. Index data is Total Return.

One contributing factor for the relatively large financials small cap premium is the percentage of revenues that are generated domestically from the small caps versus large caps.  The small cap financials generate about 95% of revenues from the U.S., 17% more than the large cap financials.  The result is the small cap premium in financials is 10.6% year-to-date through July 26, 2018.  While all 3 industry groups of the small cap financials outperformed their large cap counterparts, the small diversified financials outperformed most by 13.5%, just ahead of the small cap outperformance by insurance of 12.8%, and more than the 8.4% premium of small banks.

Source: S&P Dow Jones Indices. Small cap premiums are measured by price return of S&P 600 minus S&P 500 year-to-date through July 26, 2018. The sector is in darkest blue, industry groups are medium blue, industries are light blue and sub-industries are light gray with a blue outline. Only groups with stocks in both large cap and small cap are displayed.

Within the diversified financials, the small cap premium was greatest from the consumer finance industry that may be attributed to strong consumer spending that accounts for more than two-thirds of U.S. economic activity, and is likely being driven by lower taxes and a robust labor market.  Similarly, small consumer staples have been more greatly benefiting than their large cap counterparts, outperforming by 16.6% YTD.  Also contributing to the small cap premium in financials is the life and health insurance sub-industry and the insurance broker sub-industry, with respective small over large performance of 28.3% and 24.3%.  This goes along with the small health care companies have been outperforming their large counterparts significantly this year by an impressive 31.3%.

As U.S. GDP growth accelerates, small cap stocks may continue to outperform large caps, but only if there is quality as in the S&P 600.

The posts on this blog are opinions, not advice. Please read our Disclaimers.

A Primer on Country Classification in the Context of Saudi Arabia’s Upgrade to Emerging Market Status

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Michael Orzano

Senior Director, Global Equity Indices

S&P Dow Jones Indices

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Given our recent announcement upgrading Saudi Arabia to emerging market status, it seemed like an apt time to delve a little deeper into the index country classification process and the criteria used to evaluate the status of markets here at S&P Dow Jones Indices (S&P DJI). At the risk of stating the obvious, country classification is perhaps the most fundamental aspect of global benchmark construction, given that country (and related currency) exposures have historically been the most important drivers of risk and return in global equity portfolios. In other words, the countries that are included in your benchmark matter a lot, so it’s critical to understand how country classification decisions are made, as well as any differences that exist between indices published by different providers.

An Overview of S&P DJI’s Country Classification Process and Evaluation Criteria
On an annual basis, S&P DJI conducts a complete review of all countries included in its global equity benchmarks. As described in detail in our country classification methodology, we initially review a series of criteria for each market that covers such areas as macroeconomic conditions, political stability, market size and liquidity, trading and settlement procedures, and the presence of foreign ownership restrictions. Countries must meet certain minimum criteria to be eligible for frontier market status, must pass higher standards for emerging market status, and must pass the most stringent criteria to be considered for developed market status.

In cases where this review indicates a possible change in classification, S&P DJI conducts an in-depth, public consultation requesting feedback from a wide range of market participants. This consultation process is an integral component of the overall country classification decision since core issues under review, such as market accessibility and the efficiency of transacting in local markets, are highly nuanced and may even vary among different types of market participants. S&P DJI typically publishes this annual consultation during the second quarter and it remains open for comment for about three months, with the results announced in the fourth quarter. In order to provide market participants with sufficient time to prepare for country changes, implementation of any changes typically happens at the following year’s September rebalancing.

In addition to the annual consultation, we sometimes conduct “off-cycle” reviews when warranted by changes in market conditions. Our consultation on Saudi Arabia is a recent example of this; the S&P DJI global equity index committee determined that market reforms implemented following our 2017 consultation period warranted a more timely review of the market.

Changes in classification are infrequent, given the index turnover and the associated trading costs borne by asset managers stemming from these large changes. Because of this, country changes are only made when there is a strong consensus among market participants for the change and the conditions supporting the change are seen as extremely unlikely to reverse.

Key Classification Differences
While classification of countries is largely consistent across the largest index providers (e.g., S&P DJI, MSCI, and FTSE Russell each have announced upgrades of Saudi Arabia this year), there are some notable differences to be aware of. Probably the most meaningful involves South Korea, which S&P DJI has classified as a developed market since 2001, but MSCI continues to classify as an emerging market. This difference is important, given that South Korea is the second-largest country in the MSCI Emerging Markets Index at a roughly 15% weight, potentially crowding out less-developed markets from the benchmark.

Another notable distinction to be aware of is that MSCI initiated a partial inclusion of China A-shares in its benchmarks as of June 1, 2018, whereas S&P DJI and FTSE Russell currently have China A-shares under review for inclusion in emerging market indices. Although MSCI’s inclusion of China A-shares has garnered significant attention, it should be noted that the partial inclusion process undertaken by MSCI means that China A-shares currently represent less than 1% of the emerging markets index.

Finally, our 2018 Country Classification Consultation is open for comment until Oct. 15, 2018. In addition to China A-shares, Argentina and Kuwait are under review for reclassification from frontier to emerging market status.

The posts on this blog are opinions, not advice. Please read our Disclaimers.

Return Efficacy of Profitability Metrics in International Small-Cap Equity

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Rachel Du

Senior Analyst, Global Research & Design

S&P Dow Jones Indices

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Despite both indices representing the U.S. small-cap market, the S&P SmallCap 600® has outperformed the Russell 2000 Index in 16 out of 24 calendar years, with an annualized excess return of 1.81%.[1] Prior research by S&P Dow Jones Indices[2] found that inherent differences in index construction drove the historical return differential. Notably, the profitability inclusion requirement for the S&P SmallCap 600 explains a substantial amount of the difference. Based on the conclusions found in the paper, we investigated whether similar findings exist in the international small-cap space.

In our study, we explored six widely accepted indicators of profitability by comparing the future returns of positive (or higher) profitable companies to negative (or lower) profitable companies: earnings per share (EPS),[3] asset turnover, gross profit margin, gross profitability, return on assets (ROA), and return on equity (ROE).[4]

In order to determine if differences in geographic regions or economic status lead to return differences, we tested four different regions including Global, Global Ex-U.S., Developed Ex-U.S., and Emerging Markets.

On a monthly basis, we ranked companies in each universe and grouped them into quintiles, with the most profitable (highest) companies placed into the Quintile 1 and least profitable (lowest) companies placed into Quintile 5. For EPS, we placed companies in only two groups, with Group 1 representing profitable companies and Group 2 representing negative earnings companies. We equally weighted each group to avoid size bias, with returns calculated in local currency to avoid any currency effects. Exhibit 1 shows the average of the forward one-month returns for each group within each metric, beginning in 1999.

Exhibit 1 shows that the higher-ranked groups generally delivered higher future returns relative to the lower-ranked groups across all four universes and all six metrics. In addition, the return differential between Quintile 1 and Quintile 5 (or Group 1 minus Group 2 for EPS) is shown at the bottom of each universe. Based on the results, we concluded that, irrespective of the metric used to measure profitability, more profitable companies on average outperformed less profitable ones.

To determine if the excess returns between the Quintile 1 and Quintile 5 were statistically significant, and if there was any time variation (especially over longer periods), Exhibit 2 shows the information coefficient (IC) and t-statistic for 1-, 3-, 6-, and 12-month periods for the Global Ex-U.S. universe.

The positive ICs indicated the potential predictive power of profitability metrics on subsequent excess returns. Additionally, the t-statistics showed statistical significance for the majority of the figures. The results give credence to the notion that having a profitability requirement—even something as simple as screening out unprofitable companies using EPS—could potentially have a positive effect on returns for an international small-cap benchmark.

[1]   Source: S&P Dow Jones Indices LLC, FactSet. Total returns from December 1993 to March 2018.

[2]   Brzenk, P. and Aye Soe.  “A Tale of Two Benchmarks: Five Years Later.” S&P DJI Research, March 2015.

[3]   For real estate investment trusts (REITs), funds from operations were used in place of net income when available.

[4]   Ratio Definitions: EPS is the last fiscal year net income divided by shares outstanding; asset turnover is net sales divided by the average of total assets; gross profit margin is gross income divided by net sales; gross profitability is gross income divided by total assets; ROA is gross income divided by the last two fiscal periods’ average of total assets; and ROE is the trailing 12-month EPS divided by book value per share.

 

The posts on this blog are opinions, not advice. Please read our Disclaimers.

Indexing With Large Caps at the Core

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Koel Ghosh

Head of South Asia

S&P Dow Jones Indices

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The end of May 2018 marked another milestone in the history of ETF growth in global markets, with the total assets in ETFs crossing USD 5 trillion. Indian ETF markets are also growing significantly. The support from the Indian government via the Employees’ Provident Fund Organisation and Department of Investment and Public Asset Management, which are promoting investment in ETFs, has helped with the acceptance and adoption of passive investing.

However, with every investment decision comes planning and strategy. Asset allocation is important for a sound portfolio strategy. A core satellite approach has been adopted by many to achieve the necessary portfolio targets. In Indian markets, as active is a well-established strategy and passive is slowly getting a foothold, a combination of the two via core satellite can allow both strategies to be at play.

The large-cap space has long been established to contain companies with large market capitalization and stronger financials, which are understood to be stable and sometimes referred to as blue chip. The benchmark S&P BSE SENSEX consists of large-cap companies and many passive strategies and investment are linked to it today. The Indian market also hosts a wide range of active funds in this space. However, the SPIVA® India Scorecard has highlighted how the benchmark, in this case the S&P BSE 100, has outperformed active funds. It does make one wonder if, rather than going through the effort and spending time sorting through and picking an active strategy, isn’t it may be easier to replicate an index or follow an index fund or ETF?

Exhibit 1 is an example of the outperformance of the S&P BSE 100 over active funds in the past few years. The trend could compel one to think that it may be easier to take a low-cost, diversified, transparent, and flexible option.

An advantage of index-based investing is low concentration risk. For example, the S&P BSE 100 spreads across a broad basket of 100 securities diversified across sectors. For a more concentrated basket, the S&P BSE SENSEX 50 seeks to measure a group of 50 stocks, while the S&P BSE SENSEX seeks to track a set of 30 stocks. The S&P BSE SENSEX Next 50 is designed to measure the next 50 stocks from the same large-cap space beyond just the top 50 large caps.

Diversification can help with efficient risk management, as the exposure is not concentrated. An index measures a basket of securities, rather than a single stock, with an additional benefit of a wide sectoral exposure. Each of the S&P BSE LargeCap Indices provides exposure across 10 sectors, as per BSE sectoral classification, with various weights. Exhibit 2 demonstrates the sector weights of the S&P BSE LargeCap Indices, which are led by finance at over 30%, consumer discretionary and fast moving consumer goods (FMCG) at over 10%, and basic materials, industrials, and information technology with good shares as well.

Given that there is a variance in the sectoral balance in each of the large-cap indices, the performance of the indices varies and can provide options with different risk/return profiles. A look at the performance of the sectors in the last few years can help provide a perspective as to how the different sectoral exposures aggregate to a performance characteristic for the indices. Exhibit 3 demonstrates that while information technology was the outperforming sector in the one-year annualized return category, followed by energy, FMCG and finance were the leaders over the long term (i.e., 10 years).

Hence, using indices to measure market segments could provide a cross-sectoral exposure that enables strategies to benefit from diversification.

The indexing route is more diversified than single-stock approaches. Compared with active investing, the methodological approach to index design and consistency helps protect against fund manager bias. The exposure to the large-cap space via indexing as a core strategy offers a portfolio with risk/return characteristics similar to those of the indices.

Exhibit 4: Risk and Risk-Adjusted Returns of S&P BSE Indices
INDEX ANNUALIZED RISK (%) ANNUALIZED RISK-ADJUSTED RETURNS
3-YEAR 5-YEAR 10-YEAR 3-YEAR 5-YEAR 10-YEAR
S&P BSE SENSEX (TR) 13.56% 13.51% 20.83% 0.73 1.06 0.57
S&P BSE SENSEX 50 (TR) 13.44% 13.60% 21.26% 0.80 1.10 0.57
S&P BSE SENSEX 50 TMC (TR) 16.76% 18.20% 23.95% 0.81 1.00 0.64
S&P BSE SENSEX Next 50 (TR) 17.32% 18.32% 24.66% 0.57 0.96 0.51
S&P BSE 100 (TR) 13.71% 14.04% 21.84% 0.77 1.08 0.55
S&P BSE LargeCap (TR) 13.55% 13.80% 21.16% 0.75 1.06 0.56

Source: AIPL. Data as on June 29, 2018. Past performance is no guarantee of future results. Table is provided for illustrative purposes and reflects hypothetical historical performance. The S&P BSE SENSEX 50 was launched on Dec. 6, 2016. The S&P BSE SENSEX Next 50 was launched on Feb. 27, 2017. The S&P BSE SENSEX NEXT 50 TMC was launched on Apr 18, 2018.

Exhibit 5: Annualized Returns of S&P BSE Indices
INDEX ANNUALIZED RETURNS (%)
1-YEAR 3-YEAR 5-YEAR 10-YEAR
S&P BSE SENSEX (TR) 15.96 9.9 14.37 11.77
S&P BSE SENSEX 50 (TR) 15.1 10.75 15 12.22
S&P BSE SENSEX Next 50 (TR) 1.77 9.88 17.65 12.49
S&P BSE SENSEX Next 50 TMC (TR) 6.32 13.5 18.14 15.44
S&P BSE 100 (TR) 12.94 10.58 15.21 12
S&P BSE LargeCap (TR) 13.24 10.14 14.69 11.79

Source: AIPL. Data as on June 29, 2018, 2018. Past performance is no guarantee of future results. Table is provided for illustrative purposes and reflects hypothetical historical performance. The S&P BSE SENSEX 50 was launched on Dec. 6, 2016. The S&P BSE SENSEX Next 50 was launched on Feb. 27, 2017.The S&P BSE SENSEX NEXT 50 TMC was launched on Apr 18, 2018.

The posts on this blog are opinions, not advice. Please read our Disclaimers.