Close Menu
  • Instructions
  • News
    • DeFi
    • Smart Contract
    • Markets
    • Web3
    • Adoption
    • Memecoins
    • Analysis
    • Mining
    • Scams
    • Security
  • Education
    • Learn
    • Wallets & Exchange
  • Documentaries
  • Videos
    • Alessio Rastani
    • Altcoin Buzz
    • Coin Bureau
    • Dapp University
    • DataDash
    • Digital asset News
    • EllioTrades Crypto
    • MMCrypto
    • Lark Davis
    • Ivan on Tech
    • Benjamin Cowen
  • Market
    • Crypto Market Cap
    • Heat Map
    • Converter
    • Metal Prices
    • Stock prices
  • Bonus Books
  • Tools
What's Hot

Meteora reports $1.5 million OTC scam loss in Q1 MET report

May 2, 2026

Brazil's central bank bans stablecoin and crypto settlement in cross-border payments

May 2, 2026

Maple Finance’s SYRUP Token Now Available on Revolut in UK and EU

May 2, 2026
Facebook X (Twitter) Instagram
Recession Profit AlertsRecession Profit Alerts
  • Instructions
  • News
    • DeFi
    • Smart Contract
    • Markets
    • Web3
    • Adoption
    • Memecoins
    • Analysis
    • Mining
    • Scams
    • Security
  • Education
    • Learn
    • Wallets & Exchange
  • Documentaries
  • Videos
    • Alessio Rastani
    • Altcoin Buzz
    • Coin Bureau
    • Dapp University
    • DataDash
    • Digital asset News
    • EllioTrades Crypto
    • MMCrypto
    • Lark Davis
    • Ivan on Tech
    • Benjamin Cowen
  • Market
    • Crypto Market Cap
    • Heat Map
    • Converter
    • Metal Prices
    • Stock prices
  • Bonus Books
  • Tools
Recession Profit AlertsRecession Profit Alerts
Home»Analysis»SPLG: S&P 500 Dashboard For November
Analysis

SPLG: S&P 500 Dashboard For November

November 1, 2023No Comments6 Mins Read

Worawut Prasuwan

About SPLG

This monthly article series reports sector metrics in the S&P 500 index (SP500). 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 ETF Trust (SPY). However, it has a lower expense ratio (0.02% vs. 0.09%) and a lower share price, offering more flexibility to investors who can’t trade fractional shares. It has about $19.6B of assets under management and an average daily volume of $209.93M. 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 writing. Columns stand for all the data defined above.

See also  ‘Historic Move’ Ahead for Bitcoin With BTC Setup Looking Stronger Than 2020, Says Crypto Analyst

VS

QS

EY

SY

FY

ROE

GM

EYh

SYh

FYh

ROEh

GMh

RetM

RetY

All

-0.32

5.07

0.0446

0.4307

0.0269

16.46

46.62

0.0437

0.4254

0.0281

15.09

46.13

-4.69%

0.68%

Cs. Discretionary

6.50

4.66

0.0451

0.7100

0.0335

23.72

35.65

0.0455

0.6466

0.0303

21.39

36.22

-5.30%

1.84%

Cs. Staples

-0.47

-10.75

0.0452

0.5252

0.0174

19.59

38.56

0.0423

0.4773

0.0213

23.46

40.60

-4.28%

-11.82%

Energy

100*

100*

0.0953

0.5264

0.0493

25.23

46.03

0.0238

0.5502

-0.0078

6.86

43.11

-1.89%

1.70%

Financials

46.88

18.70

0.0806

0.6619

0.1168

14.08

80.60

0.0688

0.4370

0.0679

10.95

74.04

-4.57%

-4.48%

Healthcare

0.06

-4.71

0.0376

0.2775

0.0326

14.26

64.24

0.0354

0.2829

0.0340

16.04

63.21

-8.28%

-6.60%

Industrials

-14.73

3.08

0.0435

0.3719

0.0248

21.73

38.37

0.0449

0.5409

0.0275

21.16

37.08

-4.73%

8.30%

Technology

-16.97

11.50

0.0354

0.2060

0.0274

27.10

62.00

0.0380

0.2668

0.0348

21.76

62.98

-4.77%

12.87%

Communication

9.79

-12.34

0.0282

0.7945

0.0424

11.93

56.20

0.0468

0.5284

0.0357

16.50

54.54

-4.79%

1.84%

Materials

13.41

0.93

0.0534

0.6750

0.0258

17.96

35.43

0.0443

0.6065

0.0238

17.29

36.15

-5.26%

4.28%

Utilities

5.19

-4.90

0.0538

0.5149

-0.1126

8.62

39.71

0.0495

0.5063

-0.0540

9.59

39.58

0.95%

-1.35%

Real Estate

49.85

11.81

0.0383

0.1537

0.0106

8.23

66.20

0.0228

0.1144

0.0072

6.71

65.57

-5.95%

-8.48%

*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.

See also  Bitcoin could reach $47,000 by the end of November, SynFutures co-founder says

Momentum in the S&P 500

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

Interpretation

The valuation of a hypothetical S&P 500 “median” company is very close to historical averages since 2012. Its quality score is slightly above the historical baseline. We can translate median yields in their inverse ratios:

Price/Earnings: 22.42 – Price/Sales: 2.32 – Price/Free Cash Flow: 37.17

Energy has been the sector with the highest value and quality scores since February 2022. Financials, real estate and financials are significantly undervalued relative to the historical baseline, and they have good quality scores too. The fundamental ratios used to calculate these metrics are not the most relevant in these two sectors, but their evolution in time is meaningful (it is what the scores point to). Utilities, materials, consumer discretionary and communication services are slightly undervalued relative to the historical baseline (by less than 10%). However, communication services are below the baseline in quality. Technology and industrials are overvalued by 15% to 17%. It may be partly justified by a good quality score for technology

SPDR® Portfolio S&P 500 ETF is up by 9.34% in 12 months (in total return), whereas the median return of the S&P 500 is only 0.68% (reported above in the table) and the equal-weight average is down -1.74% (measured on RSP). It means the capital-weighted index performance has been significantly skewed to the upside by mega cap companies in the last 12 months.

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 0.0451 (or price/earnings below 22.17) 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.

See also  Bitcoin’s rally towards $70,000 revives Jane Street debate

Source link

Dashboard November SPLG

Related Posts

HBAR Price Prediction: Consolidation at $0.09 Sets Stage for $0.13 Breakout

May 2, 2026

LDO Price Prediction: $0.42 Relief Rally Sets Up $0.30 Breakdown

May 2, 2026

AAVE Price Prediction: $98-105 Recovery Rally Within 14 Days Despite Current Weakness

May 2, 2026

PEPE Price Prediction: Technical Setup Points to $0.00000690 Target by January End

May 1, 2026
Top Posts

US Sanctions Egyptian IT Experts Aiding ISIS in Cybersecurity

March 13, 2026

ChatGPT Forecasts the Likelihood of Ripple XRP Reaching $1 in 2023

September 24, 2023

Trezor Wallets New Products Aim to Streamline Crypto for Beginners

October 17, 2023

Type above and press Enter to search. Press Esc to cancel.