SPDR Portfolio S&P 500 ETF (SPLG): S&P 500 January Dashboard

About SPLG

This monthly article series reports sector metrics in the S&P 500 index. It is also a top-down review of all funds tracking it. Among them, the SPDR Portfolio S&P 500 ETF (SPLG), launched in November 2005, is less popular than the SPDR S&P 500 ETF Trust (SPY). However, it has a lower expense ratio (0.03% vs. 0.094%) and a lower share price offering more flexibility to investors who can’t trade fractional shares. It has about $13.5B of assets under management and an average daily volume of about 2.6 million shares/day. SPLG pays quarterly dividends.

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 in every sector: Earnings Yield (“EY”), Sales Yield (“SY”), Free Cash Flow Yield (“FY”), Return on Equity (“ROE”), Gross Margin (“GM”). All are calculated on trailing 12 months. For all these ratios, higher is better and negative is bad. 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 when the “something” is close to zero or negative (for example, companies with negative earnings). I also calculate two momentum metrics for each group: the median monthly return (RetM) and the median annual return (RetY).

I prefer medians rather than averages because a median splits a set in a good half and a bad half. Capital-weighted averages are skewed by extreme values and the largest companies. As a consequence, these metrics are designed for stock-picking rather than index investing.

Value and Quality Scores

Historical baselines are calculated as the averages on a look-back period of 11 years for all metrics. They are noted respectively EYh, SYh, FYh, ROEh, GMh. For example, the value of EYh for technology in the table below is the 11-year average of the median Earnings Yield of S&P 500 tech companies.

The Value Score “VS” is 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).

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, except in energy and utilities where the Free Cash Flow Yield is ignored to avoid some inconsistencies. A floor of -100 is set for VS and QS when the calculation goes below this value. It may happen when metrics in a sector are very bad.

Current data

The next table shows the metrics and scores as of last week’s closing. Columns stand for all the data defined above.

	VS	QS	EY	SY	FY	ROE	GM	EYh	SYh	FYh	ROEh	GMh	RetM	RetY
All	-27.83	13.81	0.0347	0.2861	0.0250	17.71	48.77	0.0462	0.4688	0.0311	14.67	45.65	8.28%	27.79%
Cs. Discretionary	-31.35	9.49	0.0379	0.3890	0.0230	25.67	34.67	0.0475	0.6888	0.0330	20.65	36.63	8.34%	29.61%
Cs. Staples	-18.91	7.09	0.0356	0.4262	0.0198	28.10	38.77	0.0457	0.5165	0.0239	23.38	41.25	10.85%	16.12%
Energy	37.27	26.09	0.0304	0.5214	0.0363	6.45	48.98	0.0171	0.5389	-0.0183	4.75	42.07	4.70%	57.58%
Financials	-18.90	21.02	0.0752	0.3182	0.0480	13.49	80.55	0.0674	0.4747	0.0742	10.32	72.31	6.05%	35.56%
Healthcare	-26.91	10.56	0.0309	0.2030	0.0294	19.30	63.76	0.0390	0.3169	0.0387	16.24	62.33	11.17%	29.61%
Industrials	-38.29	12.92	0.0292	0.3090	0.0223	24.87	37.48	0.0480	0.6065	0.0304	20.02	36.88	7.15%	27.93%
Technology	-43.59	17.47	0.0256	0.1322	0.0248	26.81	63.77	0.0416	0.2998	0.0390	20.20	62.36	6.46%	36.59%
Communication	-27.19	-2.19	0.0309	0.4188	0.0314	15.71	55.32	0.0496	0.5329	0.0405	16.58	54.82	8.31%	-4.89%
Materials	-5.19	14.68	0.0429	0.4193	0.0317	20.38	37.47	0.0448	0.6372	0.0258	16.37	35.74	7.83%	18.35%
Utilities	-31.28	8.44	0.0407	0.3538	-0.0655	10.10	43.71	0.0529	0.5848	-0.0436	9.72	38.68	10.29%	17.11%
Real Estate	-15.59	26.51	0.0195	0.0852	0.0056	8.78	66.48	0.0198	0.1177	0.0068	5.80	65.43	11.42%	52.40%

Score charts

The next chart plots the value and quality scores by sector (higher is better).

Chart: author; data: Portfolio123

Score variations since last month:

Chart: author; data: Portfolio123

Momentum chart:

Chart: author; data: Portfolio123

Interpretation

A hypothetical S&P 500 “median” company is overvalued by 27.8% relative to average valuation metrics since 2010. The quality score is 13.8% above the baseline. We can translate median yields in their inverse ratios:

Price/Earnings: 28.82 – Price/Sales: 3.50 – Price/Free Cash Flow: 40.00

Energy is by far the most attractive sector in regard to fundamental data: it is far above the baseline in both value and quality scores. Materials is close to its value baseline. Other sectors are overvalued by 15% to 44% relative to 11-year averages. Consumer staples, financials and real estate are significantly less overvalued than the broad index, whereas technology has the worst value score. All sectors except communication services are above the quality baseline. It may partly justify overvaluation, especially in real estate and financials. Usual fundamental ratios are less meaningful in these two sectors, but comparing aggregate metrics to their own historical averages is still relevant.

SPLG shares have gained 27% in 12 months (capital gain excluding dividends), while the median return of the S&P 500 is 27.8% and the equal-weight average is 27.6% (measured on RSP). The three numbers are very close, which means market gains were not skewed by mega caps. Energy and real estate have the best 12-month momentum measured in median return, which is consistent with an inflationary environment.

We use the table above 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 that a large consumer staples company with an Earnings Yield above 0.0356 (or price/earnings below 28.09) is in the better half of the sector 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.