This monthly article series shows a dashboard with aggregate industry metrics in materials. It is also a review of sector ETFs like Materials Select Sector SPDR ETF (XLB) and Vanguard Materials ETF (NYSEARCA: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). In 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 writing. Columns stand for all the data defined above.
VS |
QS |
EY |
SY |
FY |
ROE |
GM |
EYh |
SYh |
FYh |
ROEh |
GMh |
RetM |
RetY |
|
Chemicals |
2.33 |
-5.40 |
0.0344 |
0.5552 |
0.0203 |
16.36 |
41.33 |
0.0424 |
0.4483 |
0.0199 |
17.85 |
42.37 |
-2.93% |
-4.15% |
Constr. Materials |
9.15 |
24.95 |
0.0404 |
0.6044 |
0.0583 |
17.58 |
35.30 |
0.0405 |
0.8007 |
0.0383 |
13.33 |
29.91 |
-3.72% |
46.70% |
Packaging |
-2.32 |
6.27 |
0.0476 |
1.1782 |
0.0301 |
19.68 |
26.57 |
0.0492 |
1.0435 |
0.0361 |
18.39 |
25.18 |
-0.95% |
1.46% |
Mining/Metals |
-17.36 |
0.56 |
0.0371 |
0.7928 |
0.0227 |
8.66 |
23.08 |
0.0421 |
1.1612 |
0.0248 |
9.40 |
21.17 |
3.67% |
16.40% |
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 improved in construction materials and deteriorated in mining/metals.
Momentum
The next chart plots momentum scores based on median returns.
Interpretation
According to my monthly S&P 500 dashboard, the basic materials sector is overvalued by about 12% based on 11-year averages. Nevertheless, the construction materials industry is undervalued by about 9% and its quality score is above the historical baseline. The chemicals and packaging industries are close to the baseline regarding both valuation and quality. The mining/metals subsector is overvalued by 17% based on the same metrics.
Fast facts on VAW
Vanguard Materials ETF (VAW) has been tracking the MSCI US IMI Materials 25/50 Index since 01/26/2004 and is also available as a mutual fund (VMIAX). It has a total expense ratio of 0.10%, similar to XLB (0.09%).
The portfolio has 116 holdings and is quite concentrated: the top 10 holdings, listed in the next table, represent 51.7% of asset value, and the largest position, Linde Plc, weighs 16.7%. Risks related to other companies are moderate to low.
Ticker |
Name |
Weight |
EPS growth %TTM |
P/E TTM |
P/E fwd |
Yield% |
LIN |
Linde Plc |
16.65% |
52.89 |
35.47 |
29.00 |
1.24 |
SHW |
The Sherwin-Williams Co. |
6.24% |
19.59 |
33.58 |
27.07 |
0.92 |
FCX |
Freeport-McMoRan, Inc. |
4.99% |
-46.44 |
39.24 |
31.36 |
1.20 |
ECL |
Ecolab, Inc. |
4.38% |
25.66 |
45.80 |
34.20 |
1.04 |
APD |
Air Products and Chemicals, Inc. |
3.98% |
3.19 |
21.90 |
18.58 |
3.09 |
NUE |
Nucor Corp. |
3.60% |
-37.37 |
10.71 |
14.29 |
1.12 |
NEM |
Newmont Corp. |
3.05% |
-340.77 |
N/A |
18.45 |
2.59 |
CTVA |
Corteva, Inc. |
3.01% |
-35.00 |
52.55 |
18.91 |
1.20 |
DOW |
Dow, Inc. |
3.00% |
-86.97 |
69.81 |
18.91 |
4.93 |
MLM |
Martin Marietta Materials, Inc. |
2.81% |
36.35 |
31.34 |
27.58 |
0.50 |
Ratios from Portfolio123
VAW has outperformed XLB by 40.5% in total return since inception. However, the difference in annualized return is hardly significant (38 bps). VAW is marginally more volatile, as reported in the next table.
Total return |
Annualized return |
Max Drawdown |
Sharpe ratio |
Volatility |
|
VAW |
490.01% |
9.18% |
-62.17% |
0.45 |
20.93% |
XLB |
449.53% |
8.80% |
-59.83% |
0.44 |
20.17% |
Data calculated with Portfolio123
VAW is designed for investors seeking capital-weighted exposure to the basic materials sector. Its portfolio holds 116 stocks from large to small caps, whereas XLB invests in only 31 larger companies. VAW is a bit less concentrated in the top holdings: in XLB, the top 10 holdings represent 66% of asset value and LIN weighs 21.6%. Nevertheless, the difference in annualized return since inception is insignificant. VAW and XLB are equivalents for long-term investors, but XLB is a better instrument for trading and tactical allocation thanks to higher trading volumes. Investors who are concerned by the risk related to the top holding would likely prefer Invesco S&P 500® Equal Weight Materials ETF (RSPM).
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 0.0344 (or price/earnings below 29.07) is in the better half of the industry regarding this metric. A Dashboard List is sent every month with the most profitable companies standing in the better half among their peers regarding the three valuation metrics at the same time. The stocks below are part of the list sent out a few weeks ago, based on data available at this time.
CE |
Celanese Corp. |
APOG |
Apogee Enterprises, Inc. |
OC |
Owens Corning |
BLDR |
Builders FirstSource, Inc. |
It is a rotational model with a statistical bias toward excess returns on the long-term, not the result of an analysis of each stock.