Using Quantitative Signal Data for Portfolio Management

The vast majority of asset management companies today use model portfolios. Model portfolios, which surged to a record $7.7 trillion in assets in early 2025, offer a way for advisors to outsource portfolio construction and rebalancing. The proliferation of model portfolio construction for different client profiles is a growing trend driven by efficiency, scalability, and improved client outcomes. Financial advisors are increasingly using these pre-built investment strategies, which can be tailored to meet individual client needs. Construction starts with a systematic and data-driven approach  to investment strategies in financial markets. While models provide a standardized framework, they are not a one-size-fits-all solution. Advisors can customize them based on a client’s risk tolerance, financial goals (e.g., income-focused models for retirees), and preferences (e.g., tax-focused strategies). 

All research 5,000+ stocks and 700+ ETFs updated on www.ValuEngine.com

One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely for trading stocks.   Since all the key data available is arrayed into a comprehensive data series with 20+ years of history, the answer is a resounding yes.  The most proprietary elements in ValuEngine data are the models’ forecasts of returns for upcoming periods. These forecasts help drive the ValuEngine Buy/Sell/Hold Ratings. 

The numerical ratings are:

1= Strong Sell (Expected to strongly under-perform average markets over the next year)

2 = Sell (Expected to under-perform average markets over the next year)

3 = Hold (Expected to roughly match average markets over the next year)

4 = Buy (Expected to out-perform average markets over the next year)

5 = Strong Buy (Expected to strongly out-perform average markets over the next year)

The other proprietary data element is the valuation; it is a percentage which is from our valuation model.  It can be thought of as an estimate of how much more or less the current stock price is than its fair intrinsic value.  A positive percentage indicates overvaluation while a negative number reflects undervaluation.  All other data elements included in our data feeds and printed reports are derived from the price-return forecasts and the valuation model.  The important factor in using the ratings and valuations in portfolio management is that the data can be used for screening, and the creation of various portfolio strategies with different risk/return profiles.  

All research 5,000+ stocks and 700+ ETFs updated on www.ValuEngine.com

Today’s asset management shops use a combination of quantitative and qualitative screening methods to select securities and construct model portfolios. This rigorous, multi-faceted process aims to identify high-conviction strategies, manage risk, and align with various client objectives. A common thread is quantitative analysis.  The data-driven method uses objective, measurable metrics for initial screening and benchmarking. This is where screens and alpha criteria enter the picture.  Let us provide an example from the disciplines used by our sister company, ValuEngine Capital Management.  

We start simply with the ValuEngine View Strategy.  This is the model portfolio used for clients with medium-to-high risk tolerances and medium-to-long time horizons.  The objective is to create a diversified portfolio of 20 stocks with expectation of superior returns.  Therefore, the screens focus on the ValuEngine ratings for each stock with secondary focuses on valuation and volatility.  The following is verbatim from the ValuEngine Capital Website:

“The ValuEngine View Strategy is the product of a sophisticated stock valuation model that was first developed by ValuEngine’s academic research team. It utilizes a three-factor approach: fundamental variables such as a company’s trailing 12-month Earnings-Per-Share (EPS), the analyst consensus estimate of the company’s future 12-month EPS, and the 30-year Treasury yield are all used to create a more accurate reflection of a company’s fair value. A total of eleven additional firm-specific variables are also used. The ValuEngine View portfolio is constructed by integrating this model along with some basic rules for market capitalization and industry diversification.

Portfolio Liquidity Requirements: Stock must have prices over $5, over 100,000 daily trading volume, and 1 billion in market cap size. This ensures that stocks can be entered and exited easily and quickly.

Screening Criteria: Strong Buy and Buy rated, top forecasted target price stocks for the next month according to ValuEngine (ValuEngine.com) propriety research and models. Must also be at least 1% undervalued by the ValuEngine Proprietary Valuation model.  This means it is a combined approach utilizing both proprietary forecast target price and valuation models. The portfolio is adjusted monthly and contains 20 positions. An equal amount of capital is allocated to each stock, with a small cash position.”

The portfolio manager does at times make manual adjustments. For example, adjusting the number of stocks in a given sector if the model results are too heavy in one or more sector groups. The portfolio manager also reserves the right  to replace a stock with another one from the screening results if there are issues that are not accounted for in the models.  Chinese ADR stocks (foreign stocks that trade on US markets) are currently not included, due to volatility. ADR’s from other countries are permitted.

Those interested in delving further into this example may do so at valuengine.com, then click on the Portfolio tab.  Or, click HERE. There you can also find construction methodologies used for both aggressive and conservative and income-oriented portfolios along with historic performance records.  Descriptions of the screening and selection criteria used for each strategy is provided.

Using the professional tools on the ValuEngine website, we can follow the above rules and criteria to create a 20-stock portfolio using the ValuEngine ratings.  Altogether, we find 110 stocks that satisfy this screen. We download the results into a spreadsheet to make it easy to create reports and to view and manipulate the data. If we were creating a new 20-stock portfolio today using the ValuEngine View rules and constraints, this is what it would look like: 

Current ValuEngine reports on all covered stocks and ETFS can be viewed HERE

# Ticker Company Name Last Close VE Rating 1month Forecast Valuation Model Rank P/E Ratio Market Cap
1 EGO ELDORADO GOLD 31.27 5 1.79% 83 20.0 6.3
2 SSRM SSR MINING INC 22.46 5 1.75% 70 14.3 4.6
3 IHS IHS HOLDING LTD 7.09 5 1.73% 92 7.1 2.4
4 STNE STONECO LTD 16.76 5 1.72% 92 10.0 4.8
5 BNPQY BNP PARIBAS-ADR 42.48 5 1.69% 63 7.7 94.9
6 U UNITY SOFTWARE 43.14 5 1.69% 81 -100.0 18.5
7 ITUB BANCO ITAU -ADR 7.69 5 1.64% 74 10.0 82.9
8 PAGS PAGSEGURO DIGTL 10.42 5 1.60% 83 7.7 3.4
9 PGNY PROGYNY INC 25.27 5 1.60% 77 50.0 2.2
10 W WAYFAIR INC 110.04 5 1.60% 78 -100.0 14.3
11 SEDG SOLAREDGE TECH 32.92 5 1.56% 96 -6.3 2.0
12 ONC BEONE MEDICINES 335.60 5 1.53% 79 100.0 36.8
13 APTV APTIV HLDS LTD 76.94 5 1.52% 81 10.0 16.6
14 EBKDY ERSTE GROUP BNK 54.49 5 1.52% 59 12.5 44.7
15 MURGY MUENCHENER RUEC 12.56 5 1.51% 92 2.9 82.1
16 XP XP INC-A 19.69 5 1.51% 70 11.1 10.6
17 FUTU FUTU HOLDINGS 170.73 5 1.49% 73 20.0 23.8
18 UBS UBS GROUP AG 38.48 5 1.49% 86 16.7 123.4
19 VWDRY VESTAS WIND SYS 7.90 5 1.49% 59 25.0 23.9
20 LGRDY LEGRAND SA 29.85 5 1.48% 81 33.3 39.4

Current ValuEngine reports on all covered stocks and ETFS can be viewed HERE

In terms of sector representation, the most represented is Foreign Banks with 4: BNP Paribas ADR (BNPQY), Banco Itau (ITUB), Erste Group Bank (EBKDY) and UBS Group (UBS).  Next in line is technology with three companies, IHS Holdings Ltd. (IHS), Stoneco Ltd (STNE); and Unity Software (U).  No other sector has more than two companies so on an eyeball basis, it seems diversified enough for a 20-stock portfolio.  However, some investors may review these names and see a different type of concentration problem. 16 of these 21 companies are ADRs.  Only SSR Mining (SSRM), Unity Software (U), Progyny Inc. (PGNY) and Wayfair (W) are based in the USA while El Dorado Gold (EGO) is Canadian.  A helpful feature of the ValuEngine professional screening tool is it outputs 30 data elements, accounting for much of what appears in the ValuEngine report, for each stock that satisfies the screen. One of those data items is Country Code which designates where the company is located.  So, using the same spreadsheet but eliminating companies not headquartered in the US, here is the new top 20, as follows: 

# Ticker Company Name Last Close VE Rating 1 month Forecast Valuation Model Rank P/E Ratio Market Cap
1 SSRM SSR MINING INC 22.46 5 1.75% 70 14.3 4.6
2 U UNITY SOFTWARE 43.14 5 1.69% 81 -100.0 18.5
3 PGNY PROGYNY INC 25.27 5 1.60% 77 50.0 2.2
4 W WAYFAIR INC 110.04 5 1.60% 78 -100.0 14.3
5 LQDA LIQUIDIA CORP 32.05 5 1.46% 81 -33.3 2.8
6 RUN SUNRUN INC 18.55 5 1.43% 84 11.1 4.3
7 AL AIR LEASE CORP 63.90 5 1.37% 64 12.5 7.1
8 ADPT ADAPTIVE BIOTEC 18.84 5 1.36% 81 -25.0 2.9
9 HALO HALOZYME THERA 68.10 5 1.36% 59 12.5 8.0
10 ROKU ROKU INC 96.52 5 1.36% 89 #DIV/0! 14.3
11 DG DOLLAR GENERAL 109.34 5 1.34% 59 16.7 24.1
12 LLY LILLY ELI & CO 1057.89 5 1.32% 65 50.0 1000.1
13 CELH CELSIUS HOLDING 42.62 5 1.30% 85 33.3 11.0
14 RIVN RIVIAN AUTOMOTV 17.16 5 1.30% 72 -5.6 21.0
15 NFG NATL FUEL GAS 82.21 5 1.29% 60 11.1 7.4
16 SHLS SHOALS TECHNOL 7.83 5 1.29% 82 25.0 1.3
17 AMPX AMPRIUS TECH 10.61 5 1.26% 75 -50.0 1.4
18 ALHC ALIGNMENT HLTHC 19.08 5 1.25% 59 -100.0 3.8
19 KOD KODIAK SCIENCES 21.94 5 1.25% 86 -5.3 1.2
20 MSGE MADISON SQR ENT 50.73 5 1.25% 66 33.3 2.1

Current ValuEngine reports on all covered stocks and ETFS can be viewed HERE

Although the average 1-month forecasted price gain went down considerably for this 20-stock portfolio, we were able to stick with all stocks rated 5 (Strong Buy).  Five of the 20 companies are in the Health Care Sector but only three are in the same industry, which is Biotech: Liquidia Corp. (LQDA), Adaptive Biotechnologies (ADPT), and Halozyme Therapeutics (HALO).  The next most represented sector is energy with three. It is populated by the stocks of nontraditional energy providers such as Sunrun (RUN) and Shoals Technologies (SHLS), alongside a more traditional provider, National Fuel Gas (NFG). In both the above charts, I included our valuation model’s relative rank alongside P/E, the most popular valuation metric.  Our valuation model can be thought of as focusing on how much the stock is selling at a discount or premium to “fair value” focusing on potential future returns. The P/E metric is a simplification, focusing on share price relative to historical earnings per share. Only seven of these stocks have P/Es below that of the S&P 500, currently 27.9 according to YCharts.  The lowest P/Es are owned by two energy stocks just mentioned, RUN and NFG.  Interestingly, nine of the 20 have P/E ratios considered undefined as historical earnings are either negative or zero.  Investors relying on P/E therefore do not recognize these stocks as the mispricing opportunity that the ValuEngine valuation model predicts it to be. There are growth oriented publicly traded companies with negative earnings that are growing quickly and meet our criteria for potential future stock price appreciation. 

Going back to providing model portfolios, there are a few very volatile and non-dividend paying stocks here that may not be appropriate stock holdings for moderately conservative investors.  Accordingly, here are new screening criteria that are more appropriate for this more conservative target group:  

  1. Eliminate non-dividend-paying stocks as just the fact that a stock pays a dividend has been cited in studies as a stability factor;    
  2. Eliminate stocks with a Beta higher than 1.50 to mitigate volatility.
  3. Eliminate non-European ADRs.

The other criteria still apply.  Only 53 stocks now qualify.  Here is the new portfolio.  

Current ValuEngine reports on all covered stocks and ETFS can be viewed HERE

# Ticker Company Name Last Close VE Rating 1month Forecast Forward P/E Ratio Div. Yield %
1 AL AIR LEASE CORP 63.90 5 1.37% 5.4 0.8%
2 DG DOLLAR GENERAL 109.34 5 1.34% 16.4 0.2%
3 LLY LILLY ELI & CO 1057.89 5 1.32% 30.4 7.3%
4 NFG NATL FUEL GAS 82.21 5 1.29% 9.7 1.3%
5 NRG NRG ENERGY INC 165.66 5 1.26% 15.5 1.9%
6 EL ESTEE LAUDER 94.71 5 1.12% 38.2 1.2%
7 STT STATE ST CORP 118.12 5 1.10% 10.4 1.4%
8 UHS UNIVL HLTH SVCS 239.43 5 1.10% 10.2 0.6%
9 GL GLOBE LIFE INC 132.53 5 1.09% 8.9 0.9%
10 AES AES CORP 13.99 4 1.04% 6.3 0.2%
11 TRV TRAVELERS COS 290.50 4 0.98% 11.1 6.8%
12 NYT NY TIMES  A 64.78 4 0.94% 21.2 2.1%
13 MTCH MATCH GROUP INC 33.75 4 0.85% 11.2 0.4%
14 THG HANOVER INSURAN 185.91 4 0.79% 11.2 2.8%
15 HIG HARTFORD INS GR 135.50 4 0.74% 10.6 2.2%
16 LEA LEAR CORPORATN 108.22 4 0.70% 8.0 1.6%
17 LDOS LEIDOS HOLDINGS 188.42 4 0.62% 15.7 0.8%
18 ALL ALLSTATE CORP 210.00 4 0.60% 8.9 6.0%
19 CTVA CORTEVA INC 66.54 4 0.56% 18.9 0.1%
20 MSFT MICROSOFT CORP 486.74 4 0.42% 29.3 6.6%

The new portfolio contains more familiar names, lower average forecast of one-month price gain and is more than 50% composed of 4-rated (Buy) stocks.  It averages stocks with higher dividend yields, lower forward P/E ratios and lower Betas (not shown for readability). The largest concentration is in finance with six stocks, five of them in the insurance industry.  The rest of the diversification looks good with the three tech stocks comprising the next group.  

Financial Advisory Services based on ValuEngine’s research models: www.ValuEngineCapital.com

Screens like these can form good bases for creating modern portfolios. This works well for quantitatively indexed portfolios and ETFs that display their decision rules.  Broader screens allow more room for active managers to tweak portfolios by substituting lower ranked stocks that still pass the screen for stocks they believe are more risky than the stories told by the numbers themselves.  As actively managed ETFs continue to dominate new ETF offerings, there should be ample room to combine quantitative decision criteria with experienced oversight.

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By Herbert Blank
Senior Quantitative Analyst, ValuEngine Inc ( www.ValuEngine.com )
support@ValuEngine.com         (321) 325-0519
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