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S&P 500 Valuation Dashboard - Update


  • A score in value and quality for every sector.
  • Evolution since last month.
  • The best and the worst sectors for these metrics.

This monthly series gives fundamental scores by sector for companies in the S&P 500 index (NYSEARCA:SPY). I follow chosen fundamental factors for every sector and compare them to a historical baseline, so as to create a synthetic dashboard with a Value Score (V-score) and a Quality Score (Q-score). You can find here data that may be useful in a top-down approach.


  • The median value of 4 valuation ratios is calculated for S&P 500 companies in each sector: Price/Earnings (P/E), Forward Price Earning for the current year (Fwd P/E), Price to sales (P/S), Price to free cash flow (P/FCF).

  • It is compared in percentage to its own historical average. For example, a difference of 10% means that the current median ratio is 10% over- or under-priced relative to its historical average in the sector.

  • The V-score of a sector is the average of differences in percentage for the 4 factors, multiplied by -1. The higher is the better.

  • The Q-score is the difference between the current median ROE (return on equity) and its historical average. The higher is the better.

The choice of the valuation and quality ratios has been justified in previous articles. Among the simple, publicly available fundamental factors, they are the best predictors of future returns according to 17-year backtests. Median values are better reference data than averages for stock-picking. Each median is the middle point of a sector, which can be used to separate good and bad elements. A median is also less sensitive to outliers.

Sector valuation on 3/1/2018

The next table reports the 4 valuation factors. There are 3 columns for each factor: the current median value, the historical average ("Avg.") between January 1999 and October 2015 taken as an arbitrary reference of fair valuation, and the difference in percentage ("%Hist"). The first column "V-score" shows the value score as defined above.

This article was written by

Fred Piard profile picture
Data-driven portfolios and risk indicators.
Author of Quantitative Risk & Value and three books, I have been investing in systematic strategies since 2010. I have a PhD in computer science, an MSc in software engineering, an MSc in civil engineering and 30 years of professional experience in various sectors. My aim is making simple and efficient quantitative investing techniques available to my followers. Quantitative models can make investment decisions faster, reproducible and emotionless by focusing on relevant information in the middle of market noise. Moreover, models can be refined to meet specific risk tolerance and objectives. 

Step up your investing experience: try Quantitative Risk & Value for free now (limited offer).

I am an individual investor and an IT professional, not a finance professional. My writings are data analysis and opinions, not investment advice. They may contain inaccurate information, despite all the effort I put in them. Readers are responsible for all consequences of using information included in my work, and are encouraged to do their own research from various sources.

Analyst’s Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

I am net long in stocks.

Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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