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This monthly article series shows a dashboard with aggregate industry metrics in materials. It is also a review of sector ETFs like the Materials Select Sector SPDR ETF (XLB) and the Vanguard Materials ETF (VAW), whose largest holdings are used to calculate these metrics.
Shortcut
The next two paragraphs in italic describe the dashboard methodology. They are necessary for new readers to understand the metrics. If you are used to this series or if you are short of time, you can skip them and go to the charts.
Base Metrics
I calculate the median value of five fundamental ratios for each industry: Earnings Yield (“EY”), Sales Yield (“SY”), Free Cash Flow Yield (“FY”), Return on Equity (“ROE”), Gross Margin (“GM”). The reference universe includes large companies in the U.S. stock market. The five base metrics are calculated on trailing 12 months. For all of them, higher is better. EY, SY and FY are medians of the inverse of Price/Earnings, Price/Sales and Price/Free Cash Flow. They are better for statistical studies than price-to-something ratios, which are unusable or non available when the “something” is close to zero or negative (for example, companies with negative earnings). I also look at two momentum metrics for each group: the median monthly return (RetM) and the median annual return (RetY).
I prefer medians to averages because a median splits a set in a good half and a bad half. A capital-weighted average is skewed by extreme values and the largest companies. My metrics are designed for stock-picking rather than index investing.
Value and Quality Scores
I calculate historical baselines for all metrics. They are noted respectively EYh, SYh, FYh, ROEh, GMh, and they are calculated as the averages on a look-back period of 11 years. For example, the value of EYh for packaging in the table below is the 11-year average of the median Earnings Yield in packaging companies.
The Value Score (“VS”) is defined as the average difference in % between the three valuation ratios (EY, SY, FY) and their baselines (EYh, SYh, FYh). The same way, the Quality Score (“QS”) is the average difference between the two quality ratios (ROE, GM) and their baselines (ROEh, GMh).
The scores are in percentage points. VS may be interpreted as the percentage of undervaluation or overvaluation relative to the baseline (positive is good, negative is bad). This interpretation must be taken with caution: the baseline is an arbitrary reference, not a supposed fair value. The formula assumes that the three valuation metrics are of equal importance.
Current data
The next table shows the metrics and scores as of last week’s closing. Columns stand for all the data named and defined above.
VS |
QS |
EY |
SY |
FY |
ROE |
GM |
EYh |
SYh |
FYh |
ROEh |
GMh |
RetM |
RetY |
|
Chemicals |
8.06 |
-7.00 |
0.0452 |
0.4147 |
0.0299 |
16.52 |
40.17 |
0.0441 |
0.4670 |
0.0225 |
17.97 |
42.69 |
-5.95% |
-5.36% |
Constr. Materials |
18.81 |
31.33 |
0.0489 |
0.8622 |
0.0247 |
15.14 |
28.66 |
0.0257 |
0.9199 |
0.0341 |
9.37 |
28.37 |
-2.38% |
-6.10% |
Packaging |
-34.48 |
5.91 |
0.0498 |
0.7797 |
0.0076 |
20.78 |
23.69 |
0.0479 |
1.0717 |
0.0383 |
17.60 |
25.28 |
-3.65% |
-4.11% |
Mining/Metals |
-3.05 |
76.94 |
0.0627 |
1.1915 |
0.0061 |
18.79 |
24.13 |
0.0389 |
1.1590 |
0.0227 |
7.99 |
20.32 |
12.18% |
9.29% |
Value and Quality chart
The next chart plots the Value and Quality Scores by industry (higher is better).
Evolution since last month
The value score has significantly improved in construction materials and mining/metals. Quality has also improved in the latter, whereas it has deteriorated in the former.
Momentum
The next chart plots momentum data.
Interpretation
According to my S&P 500 monthly dashboard for March 2022, materials are very close to 11-year averages in aggregate valuation metrics. The most attractive industries in this sector are construction materials and mining/metals. Construction materials are above the baseline in both value and quality scores. Mining/metals is close below the historical baseline in value, but benefits from an excellent quality score and has the strongest momentum. Chemicals is close to the baseline in value and quality. Packaging is the less attractive industry here, even if the quality score is good: it is overvalued by more than 30% regarding my metrics.
Fast facts on VAW
The Vanguard Materials ETF (VAW) has been tracking the MSCI US IMI Materials 25/50 Index since 01/26/2004. It has a total expense ratio of 0.10%, which is a bit lower than XLB (0.12%).
The fund has 120 holdings, but it is quite concentrated: the top 10 companies weigh 48.6% of asset value. The next table shows them with some fundamental ratios. The top stock, Linde Plc, weighs over 13%. The risk related to other stocks is moderate.
Ticker |
Name |
Weight |
EPS growth %TTM |
P/E TTM |
P/E fwd |
Yield% |
LIN |
Linde plc |
13.15% |
55.67 |
38.28 |
24.01 |
1.67 |
SHW |
Sherwin-Williams Co. |
5.72% |
-5.06 |
33.45 |
24.76 |
1.03 |
APD |
Air Products and Chemicals Inc. |
4.99% |
11.59 |
23.05 |
21.25 |
2.95 |
FCX |
Freeport-McMoRan Inc. |
4.37% |
625.78 |
16.20 |
12.16 |
0.64 |
ECL |
Ecolab Inc. |
3.90% |
193.08 |
40.64 |
30.30 |
1.28 |
NEM |
Newmont Corporation |
3.90% |
-58.61 |
52.94 |
25.51 |
2.86 |
DOW |
Dow Inc. |
3.56% |
414.00 |
7.27 |
9.10 |
4.60 |
DD |
DuPont De Nemours Inc. |
3.20% |
372.47 |
6.63 |
15.12 |
1.82 |
PPG |
PPG Industries Inc. |
2.96% |
35.05 |
20.01 |
16.23 |
1.96 |
CTVA |
Corteva Inc. |
2.82% |
161.20 |
22.71 |
21.59 |
1.04 |
Ratios from Portfolio123
VAW beats XLB in total return since inception (see next table). However, the difference in annualized return is only 49 bps. It is also slightly more volatile.
Since Feb. 2004 |
Total Return |
Annual. Return |
Drawdown |
Sharpe ratio |
Volatility |
VAW |
419.70% |
9.53% |
-62.17% |
0.49 |
20.45% |
XLB |
379.36% |
9.04% |
-59.83% |
0.47 |
19.68% |
Data calculated with Portfolio123
In summary, VAW is a good product for investors seeking capital-weighted exposure in basic materials. It currently holds 120 stocks including large, mid- and small caps, whereas XLB invests in only 30 large companies. VAW is less concentrated in top holdings: for example, LIN weighs 13.15% vs. 15.8% in XLB. VAW is also cheaper than XLB in management fees, and slightly ahead of it in performance since 2004. However, XLB has much higher trading volumes, which makes it a better instrument for trading and tactical allocation strategies.
Dashboard List
I use the first table to calculate value and quality scores. It may also be used in a stock-picking process to check how companies stand among their peers. For example, the EY column tells us that a chemical company with an Earnings Yield above 0.0452 (or price/earnings below 22.12) is in the better half of the industry regarding this metric. A Dashboard List is sent every month to Quantitative Risk & Value subscribers with the most profitable companies standing in the better half among their peers regarding the three valuation metrics at the same time. The list below was sent to subscribers several weeks ago based on data available at this time.
X |
United States Steel Corp. |
CLF |
Cleveland-Cliffs Inc. |
OLN |
Olin Corp. |
LYB |
LyondellBasell Industries N.V. |
TSE |
Trinseo PLC |
UFPI |
UFP Industries Inc. |
FCX |
Freeport-McMoRan Inc. |
DOW |
Dow Inc. |
CC |
Chemours Co. |
GEF |
Greif Inc. |
It is a dynamic, monthly list with a statistical bias toward excess returns on the long term, not the result of an analysis of each stock.
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