Top Benjamin Graham Deep Value Stocks

Validea used the investment strategy outlined in the book The Intelligent Investor written by Benjamin Graham to create our Value Investor portfolio. Not surprisingly, given that he lived through his family's financial troubles and the Great Depression, Graham used a conservative, risk-averse approach that focused as much on preserving capital as it did on producing big gains. Trendy, hot stocks didn't garner his attention; he was concerned with companies' balance sheets and their fundamentals. How much debt did they carry? How did their stock price compare to the amount of per-share earnings they were generating? Did the firm have strong sales figures? This value-centric, company-focused approach may be used by a lot of investors today, but it was Graham who first popularized it. A key concept behind his approach was the 'margin of safety' -- the difference between a stock's price and the value of its underlying business. Graham focused on stocks with high margins of safety (meaning their stocks were selling on the cheap compared to what he believed to be the intrinsic value of their businesses), because their already low prices offered significant downside protection.

Stocks With the Highest Scores Using Our Benjamin Graham Quantitative Strategy

Ticker Value
Investor
Price
EDU 100 $2.19
EGO 86 $9.41
ATGE 86 $35.22
BIG 86 $60.02
BIO 86 $702.79
GHC 86 $645.21
GIII 86 $29.75
GTN 86 $21.65
IAG 86 $2.61
NEU 86 $304.54
PKX 86 $78.15
SAGE 86 $43.33
SWBI 86 $23.44
UVV 86 $51.25
VRS 86 $19.04
WOR 86 $61.91
WSO 71 $280.99
WST 71 $378.38
WTS 71 $145.85
WWD 71 $120.02
Performance Disclaimer: Returns presented on Validea.com are model returns and do not represent actual trading. As a result, they do not incorporate any commissions or other trading costs or fees. Model portfolios with inception dates on or after 12/30/2005 include a combination of back tested and live model returns. The back-tested performance results shown are hypothetical and are not the result of real-time management of actual accounts. The back-testing of performance differs from actual account performance because the investment strategy may be adjusted at any time, for any reason and can continue to be changed until desired or better performance results are achieved. Back-tested returns are presented to provide general information regarding how the underlying strategy behind the portfolio performed in our historical testing. A back-tested strategy has the benefit of hindsight and the results do not reflect the impact that material economic or market factors may have had on advisor's decision-making if actual client assets were being managed using this approach. The model portfolios offered on Validea are concentrated and as a result they will exhibit high levels of volatility and their performance can be substantially impacted by the performance of individual positions.

Optimal portfolios presented on Validea.com represent the rebalancing period that has led to the best historical performance for each of our equity models. Each optimal portfolio was determined after the fact with performance information that was not available at portfolio inception. As a result, an investor could not have invested in the optimal portfolio since its inception. Optimal portfolios are presented to allow investors to quickly determine the portfolio size and rebalancing period that has performed best for each of our models in our historical testing.

Both the model portfolio and benchmark returns presented for all equity portfolios on Validea.com are not inclusive of dividends. Returns for our ETF portfolios and trend following system, and the benchmarks they are compared to, are inclusive of dividends. The S&P 500 is presented as a benchmark because it is the most widely followed benchmark of the overall US market and is most often used by investors for return comparison purposes. As with any investment strategy, there is potential for profit as well as the possibility of loss and investors may incur a loss despite a past history of gains. Past performance does not guarantee future results. Results will vary with economic and market conditions.