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Wealth Beat News > News > SPLG: S&P 500 Dashboard For July
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SPLG: S&P 500 Dashboard For July

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Last updated: 2023/07/02 at 10:10 AM
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Contents
About SPLGShortcutBase MetricsValue and Quality ScoresCurrent dataScore chartsInterpretation

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 (NYSEARCA:SPLG), launched in November 2005, is less popular than the SPDR S&P 500 Trust ETF (SPY). However, it has a lower expense ratio (0.030% vs. 0.09%) and a lower share price, offering more flexibility to investors who can’t trade fractional shares. It has about $18.8B of assets under management and an average daily volume of 3.3 million shares. 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. VS and QS are capped between -100 and +100 when the calculation goes beyond these values.

Current data

The next table shows the metrics and scores as of this 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

-11.42

0.81

0.0398

0.4115

0.0230

15.23

46.31

0.0443

0.4323

0.0285

15.07

46.03

7.15%

10.59%

Cs. Discretionary

-8.00

-8.22

0.0410

0.6481

0.0264

19.25

33.89

0.0458

0.6504

0.0304

21.36

36.27

10.42%

29.30%

Cs. Staples

-18.39

-17.76

0.0373

0.4587

0.0135

18.25

35.44

0.0428

0.4834

0.0215

23.57

40.72

2.28%

3.38%

Energy

100*

100*

0.1444

0.6429

0.0900

33.54

46.43

0.0225

0.5479

-0.0102

6.36

42.92

7.52%

10.90%

Financials

29.04

9.10

0.0683

0.5661

0.1079

11.91

79.95

0.0687

0.4387

0.0680

10.85

73.69

7.16%

6.86%

Healthcare

-18.07

0.72

0.0323

0.2362

0.0261

15.96

64.61

0.0361

0.2890

0.0350

16.15

63.00

6.81%

4.17%

Industrials

-26.65

7.58

0.0375

0.3541

0.0207

23.65

37.99

0.0456

0.5544

0.0280

21.03

37.00

11.48%

29.71%

Technology

-26.85

10.70

0.0306

0.1965

0.0244

26.35

62.11

0.0389

0.2727

0.0355

21.49

62.87

5.82%

22.14%

Communication

-13.57

-19.62

0.0247

0.7193

0.0261

9.79

55.47

0.0477

0.5297

0.0364

16.63

54.46

6.67%

8.30%

Materials

-2.40

10.52

0.0541

0.6400

0.0158

20.90

36.03

0.0445

0.6088

0.0239

17.21

36.17

9.51%

5.97%

Utilities

-4.72

-3.78

0.0495

0.4722

-0.1059

9.21

38.21

0.0499

0.5169

-0.0512

9.63

39.47

1.80%

-0.81%

Real Estate

44.94

14.48

0.0388

0.1272

0.0104

8.44

66.28

0.0222

0.1141

0.0070

6.61

65.50

6.78%

-2.12%

*capped for convenience

Score charts

The next chart plots the Value and Quality Scores by sector (higher is better).

Value and quality in the S&P 500

Value and quality in the S&P 500 (Chart: author; data: Portfolio123)

Score variations since last month:

Variations in value and quality

Variations in value and quality (Chart: author; data: Portfolio123)

The next chart plots momentum scores based on median returns by sector.

Momentum in the S&P 500

Momentum in the S&P 500 (Chart: author; data: Portfolio123)

Interpretation

A hypothetical S&P 500 “median” company is overvalued by about 11.4% relative to average valuation metrics since 2012. Its quality score is close to the historical baseline. We can translate median yields in their inverse ratios:

Price/Earnings: 25.13 – Price/Sales: 2.43 – Price/Free Cash Flow: 43.48

Energy has been the best-ranked sector regarding value and quality for more than one year. Real estate and financials look very attractive too: they are above their baseline in both value and quality scores. Materials and utilities are overvalued by less than 5% relative to 11-year averages. The former is above the quality baseline. Consumer staples, consumer discretionary, healthcare and communication services are overvalued by less than 20% regarding the same metrics. Industrials and technology are overvalued by about 27%.

SPLG is up by 18.19% in 12 months (total return), whereas the median return of the S&P 500 is +10.59% (reported above in the table) and the equal-weight average is at +12.13% (measured on RSP). It means the capital-weighted index performance has been skewed to the upside by mega cap companies.

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 0.0373 (or price/earnings below 26.81) 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.

Read the full article here

News July 2, 2023 July 2, 2023
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