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This monthly article series shows a dashboard with aggregate subsector metrics in industrials. It is also a review of sector ETFs like the Industrial Select Sector SPDR ETF (XLI) and the Vanguard Industrials ETF (NYSEARCA:VIS), 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 subsector: 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 transportation in the table below is the 11-year average of the median Earnings Yield in transportation 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 |
|
Aerospace+Defense |
-24.42 |
-10.24 |
0.0476 |
0.5567 |
0.0311 |
18.47 |
19.88 |
0.0574 |
0.8261 |
0.0407 |
20.55 |
22.17 |
8.34% |
23.09% |
Building+Equipment |
-46.04 |
27.40 |
0.0287 |
0.2370 |
0.0155 |
11.29 |
33.96 |
0.0429 |
0.8595 |
0.0230 |
9.37 |
25.29 |
11.71% |
13.44% |
Machinery+Conglomerates |
-23.75 |
9.07 |
0.0425 |
0.3516 |
0.0256 |
21.65 |
39.39 |
0.0499 |
0.5620 |
0.0316 |
19.10 |
37.59 |
-2.20% |
-1.09% |
Services+Distribution |
-31.58 |
24.14 |
0.0308 |
0.2809 |
0.0229 |
31.98 |
49.88 |
0.0412 |
0.4961 |
0.0310 |
21.88 |
48.85 |
4.57% |
23.29% |
Transportation |
14.61 |
-11.80 |
0.0426 |
0.8173 |
0.0295 |
26.61 |
15.82 |
0.0540 |
0.6959 |
0.0200 |
22.62 |
26.93 |
-0.49% |
4.49% |
Value and Quality chart
The next chart plots the Value and Quality Scores by subsector (higher is better).
Evolution since last month
The most notable changes are an improvement of value score in transportation and a deterioration of quality in building and equipment.
Momentum
The next chart plots momentum data.
Interpretation
Transportation is undervalued by about 14% relative to 11-year averages, but it is moderately below the baseline in quality. Other subsectors are overvalued by 24% to 46% relative to historical averages. Building/construction/equipment is the most overpriced subsector, but an excellent quality score may partly justify it. Machinery/conglomerates and services/distribution also are above the quality baseline.
Focus on VIS
The Vanguard Industrials ETF has been tracking the MSCI US IMI Consumer Industrials 25/50 Index since 09/23/2004. It has a total expense ratio of 0.10%, which is a bit more expensive than its closest competitor FIDU (0.08%), and a bit cheaper than XLI (0.12%).
As of writing, the fund has 356 holdings. The next table shows the top 10 names with some fundamental ratios. Their aggregate weight is 30.6%.
Ticker |
Name |
Weight |
EPS growth %TTM |
P/E TTM |
P/E fwd |
Yield% |
UNP |
Union Pacific Corp |
3.98% |
26.53 |
26.45 |
22.75 |
1.79 |
RTX |
Raytheon Technologies Corp |
3.87% |
207.28 |
38.16 |
20.42 |
2.09 |
UPS |
United Parcel Service Inc |
3.86% |
793.96 |
15.14 |
17.39 |
2.73 |
HON |
Honeywell International Inc |
3.28% |
17.85 |
24.26 |
22.19 |
2.04 |
BA |
Boeing Co |
2.88% |
65.65 |
N/A |
59.21 |
0.00 |
LMT |
Lockheed Martin Corp |
2.71% |
-6.30 |
18.83 |
15.98 |
2.61 |
DE |
DEERE & COMPANY |
2.67% |
64.95 |
22.52 |
17.90 |
1.03 |
GE |
General Electric Co |
2.64% |
-124.73 |
N/A |
28.29 |
0.34 |
CAT |
Caterpillar Inc |
2.55% |
116.76 |
18.72 |
18.14 |
2.00 |
MMM |
3M Co |
2.15% |
9.37 |
14.60 |
14.23 |
4.04 |
The heaviest industries in the fund are machinery (19.3%) and aerospace/defense (17.5%). VIS has much more holdings than XLI (356 large to small caps vs. 76 large and mid caps). However, total return and risk metrics since inception are nearly identical for the two funds:
Total Return |
Annual. Return |
Drawdown |
Sharpe |
Volatility |
|
VIS |
408.14% |
9.76% |
-63.51% |
0.52 |
18.90% |
XLI |
408.67% |
9.76% |
-62.26% |
0.53 |
18.42% |
Data calculated with Portfolio123
In summary, VIS is a good product with cheap management fees for investors seeking capital-weighted exposure in industrials. No holding weighs more than 4%, so the risk related to individual companies is low. VIS or XLI are equivalents for buy-and-hold investors. However, XLI has a much higher liquidity, making it a better choice for swing 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 transportation company with an Earnings Yield above 0.0426 (or price/earnings below 23.47 is in the better half of the subsector 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.
WIRE |
Encore Wire Corp |
MATX |
Matson Inc |
ARCB |
ArcBest Corp |
BLDR |
Builders FirstSource Inc |
VNT |
Vontier Corp |
LMT |
Lockheed Martin Corp |
CR |
Crane Co. |
CARR |
Carrier Global Corp |
UNVR |
Univar Solutions Inc |
BCC |
Boise Cascade Co |
It is a rotating 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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