GNOM: ETF Review And Healthcare Dashboard For October

This monthly article series shows a dashboard with aggregate industry metrics in healthcare. It may also serve as a top-down analysis of sector ETFs like the iShares U.S. Healthcare ETF (IYH) and the Health Care Select Sector SPDR ETF (XLV), 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 healthcare providers in the table below is the 11-year average of the median Earnings Yield in this industry.

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
HC Equipment	-18.59	-2.20	0.0303	0.2437	0.0215	12.10	68.69	0.0333	0.2785	0.0327	13.92	63.19	-11.29%	-28.75%
HC Providers	10.30	2.46	0.0581	1.4131	0.0767	19.28	20.41	0.0526	1.4404	0.0627	15.91	24.38	-4.31%	-9.70%
Pharma/Biotech	25.03	32.35	0.0515	0.2327	0.0496	34.62	80.78	0.0374	0.2497	0.0344	21.05	80.64	-0.91%	5.25%
Life Science Tools	-12.18	7.93	0.0328	0.1912	0.0273	17.26	59.07	0.0299	0.2898	0.0311	15.85	55.22	-9.52%	-27.87%

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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 healthcare equipment and life science tools.

Momentum

The next chart plots momentum data.

Interpretation

Pharma/biotech is undervalued by about 25% relative to 11-year averages. It is also far above the historical baseline in quality. Healthcare providers are undervalued by about 10% regarding the same metrics, and they are close to their quality baseline. Life science tools and healthcare equipment are overvalued by about 12% and 19%, respectively. It may be partly justified by a good quality score for the former.

Fast facts on PBE

Genomics is one of the most promising fields in the pharma/biotech industry. The Global X Genomics & Biotechnology ETF (NASDAQ:GNOM) provides exposure to innovative companies in genomics and genetic medicine. Its total expense ratio is similar to the iShares Biotechnology ETF (IBB): 0.50% vs. 0.44%. Both are significantly above XLV (0.10%).

As described by Global X ETFs, companies are screened based on revenue exposure to one of the following business operations: gene editing, genomic sequencing, development and testing of genetic medicine/therapies, computational genomics and genetic diagnostics. Companies that derive at least 50% of revenue from these operations are eligible for the index. Other companies that are classified as “Biotechnology” by FactSet are further reviewed and analyzed based on R&D expenditures, product pipeline, and operating business segments. Those companies with exposure to the genomics related business activities are also eligible for the index.

Then, eligible companies of both sets described above are ranked together by a score based on a natural language processing algorithm that evaluates publicly available information such as financial websites, search engines, and company publications. The 40 highest ranking companies constitute the final index.

GNOM holds 40 stocks. The portfolio is quite concentrated: the aggregate weight of the top 10 holdings is 47% (list below with growth ratios).

Ticker	Name	Weight%	EPS growth %TTM	Sales growth %TTM
SRPT	Sarepta Therapeutics, Inc.	6.24	26.8728	39.1783
ALNY	Alnylam Pharmaceuticals, Inc.	5.06	-7.4607	28.6111
BEAM	Beam Therapeutics, Inc.	5.03	50.967	9999
NTRA	Natera, Inc.	4.84	-65.8044	43.3016
CRSP	CRISPR Therapeutics AG	4.57	-261.1157	-98.3564
NTLA	Intellia Therapeutics, Inc.	4.57	-87.3286	8.443
BMRN	BioMarin Pharmaceutical, Inc.	4.56	-94.0314	-1.2492
A	Agilent Technologies, Inc.	4.45	36.7848	8.4175
BNTX	BioNTech SE	3.96	171.0948	157.0214
QGEN	Qiagen NV	3.95	8.3045	3.2672

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Since 7/1/2019, GNOM has underperformed its competitor the iShares Genomics Immunology and Healthcare ETF (IDNA), the sector benchmark XLV, and the industry benchmark IBB (see next chart). Price history may be too short to assess the strategy on past performance, but for an investor looking specifically for a genomics ETF, IDNA past performance looks a bit better.

Moreover, as a software engineer with a machine learning certification, I don’t think the step of selecting stocks with an NLP algo run on public information is a smart use of machine learning. Public information on a company usually includes a lot of marketing content and reused self-description, which may be heavily biased!

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 large pharma/biotech company with an Earnings Yield above 0.0515 (or price/earnings below 19.42) 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.

VIR	Vir Biotechnology, Inc.
QDEL	QuidelOrtho Corp.
IRWD	Ironwood Pharmaceuticals, Inc.
PFE	Pfizer Inc.
ORGO	Organogenesis Holdings, Inc.
MRNA	Moderna, Inc.
ABC	AmerisourceBergen Corp.
DVA	DaVita, Inc.
THC	Tenet Healthcare Corp.
ITOS	iTeos Therapeutics, Inc.

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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.