“What Works”: Key New Findings on Stock Selection
When I began the research for what would eventually become the first edition of “What Works on Wall Street” in 1995, I sought to identify which individual factors delivered the best alpha (risk-adjusted performance) over time and did so with the greatest consistency (base rates).
What I have found is that there is no “best” factor, per se; rather, the strongest individual factors come in and out of favor. The price-to-sales ratio and EBITDA-to-enterprise-value ratio vie for top billing, but it depends on the time period under review. (EBITDA is earnings before interest, taxes, depreciation and amortization. Enterprise value is a combination of a company’s market capitalization, debt, minority interest and preferred stock at market value, less any investments in associated companies at market value and all cash and cash equivalents.)
Figure 1 illustrates the changing nature of individual factors over rolling 10-year periods. Look at how the free-cash-flow-to-enterprise-value ratio briefly added 4% more value than the value composite, but then took a nose dive.
This new research led to what can be considered the key new findings in the fourth edition of “What Works on Wall Street” (McGraw Hill, 2012): You get much better and more consistent results by using several factors together in a composite than you get using a single factor alone. Here I discuss our value composite first, then move on to others that look for financial strength and earnings quality. What’s more, by combining these three factors you greatly improve your chances of finding high quality, financially strong companies that offer excellent value. Let’s start with a look at O’Shaughnessy Asset Management’s (OSAM) value composite.
Assessing Whether a Stock Is a Value or Expensive
Sometimes a stock with a low price-earnings ratio is not a true value stock. The way to determine that is to rank the stock on other key value variables. As you can see in Figure 1, a composite made up of five individual factors—price to sales, price to earnings, EBITDA to enterprise value, free cash flow to enterprise value and shareholder yield—outperforms its individual components in 85% of all rolling 10-year periods between 1972 and 2012.
We create the composite in this manner: For each combined group of factors, we assign a percentile ranking (from 1 to 100) for each stock in two universes: All Stocks and Large Stocks. If a stock has a price-earnings ratio that is in the lowest one percent for the universe, it will receive a rank of 1; if a stock has a price-earnings ratio in the highest one percent for the universe it will receive a rank of 100. We follow a similar convention for each of the factors—thus, if a stock is in the lowest one percent of the universe based on its price-to-sales ratio, it gets 1; if the stock is in the highest one percent, it gets a 100. If a value is missing for a factor, we ignore the factor; however, we require at least three of the factors to have a value to be included in the value composite. For shareholder yield—which is dividend yield plus buyback yield—those stocks in the one percent of the universe with the highest yields will be ranked 1, whereas those within the lowest one percent will be ranked 100. Once we’ve assigned a rank to all the factors, we add up their rankings and assign the stocks to deciles. Those with the lowest scores are assigned to decile one, while those with the highest scores are assigned to decile 10.
Thus, the stocks in decile one would feature the best combined score and would have the lowest price-earnings ratios, price-to-sales ratios, etc., whereas the stocks in decile 10 would have the highest price-earnings ratios, price-to-sales ratios, etc. Figure 2 shows the results. From January 1, 1963, through December 31, 2012, the stocks in the best decile of the value composite earned an average annual compound return of 17.3%, approximately 6.2% better than the All Stocks universe, which earned 11.1% over the same period.
You can see in Figure 2 that as a stock becomes increasingly expensive, it stops providing excess returns—indeed, the high valuation actually detracts from the return you would earn by simply investing in the All Stocks universe. The worst decile by value subtracts 9.6% annually from the All Stocks return, returning a miserable 1.5% annually over the period. To put into perspective how badly the stocks in the worst decile performed, consider that an investment in U.S. Treasury bills earned 5.18% annually over the same period! What’s more, if you look at how consistently the best decile by value beat the All Stocks universe—again featured at the bottom of Figure 2—you will see that it beat the All Stocks universe in 99% of all rolling five-year periods and 100% of all rolling 10-year periods. Conversely, the stocks in the worst decile for value beat the All Stocks universe in just 5% of all rolling five-year periods and never in any rolling 10-year period.
Value Traps and Actual Bargains
Let’s look at two examples where using the value composite helps avoid value traps and two examples where seemingly pricey stocks were actually well valued. We’ll use the S&P 500 index as our starting universe.
On January 31, 2010, Merck and Co. (MRK) had a price-earnings ratio of 10.02, making it the 17th cheapest stock in the S&P 500 based upon price-earnings ratio alone. Its low price-earnings ratio might have made it very appealing to a value investor, yet when looking at Merck through the lens of the value composite, it was actually more expensive than 65% of the stocks in the S&P 500 and should have been avoided. Had you bought the stock on January 31, 2010, you would have lost 35% of your money 12 months later. Over the same time period, the S&P 500 was relatively flat, losing just 42 basis points (0.42%).
Another example is Hartford Financial Services Group (HIG). On May 31, 2011, the stock had a price-earnings ratio of just 6.86, making it the sixth cheapest stock in the S&P 500 based on price-earnings ratio. Yet when measured by the value composite, it was more expensive than 56% of the names in the S&P 500. Again, this is a an indication that the stock should have been avoided. Had you invested on May 31, 2011, you would have lost 9.40% of your money 12 months later, while the S&P 500 gained 22.18%.
Now, let’s look at two stocks that appeared to be grossly overvalued based upon their price-earnings ratio, but were in reality very attractively priced based on their value composite score. On February 28, 2001, Office Depot (ODP) had a price-earnings ratio of 57.44, making it more expensive than all but 94 other stocks in the index. Yet its value composite score revealed it to be cheaper than 74% of the other stocks in the index, making it an attractive stock to a value investor. Had you bought Office Depot then, you would have realized a gain of 106.63% over the next 12 months from owning the stock, versus a loss of 9.52% for the S&P 500.
Another example is Dillard’s Inc. (DDS). On April 30, 2004, the stock had a price-earnings ratio of 153, making it more expensive than all but 76 other stocks in the index. Yet Dillard’s ranking by the value composite found it to be cheaper than 74% of all the other stocks in the index. Had you bought the stock then, you would have a gain of 39.21% 12 months later, versus a gain of just 6.33% for the S&P 500.
Finally, as I write this on August 27, 2013, two stocks that might appear cheap based upon price-earnings ratio are actually very expensive when ranked by the value composite: M&T Bank Corp. (MTB) has a price-earnings ratio of 13.29, making it cheaper than 418 stocks in the index. Its value composite ranking, however, shows it to be more expensive than 67% of the other stocks in the index. SCANA Corp. (SCG) has a price-earnings ratio of 14.07, which is less expensive by price-earnings ratio than 400 other stocks in the index, whereas the stock’s value composite score finds that it is more expensive than 64% of the stocks in the S&P 500. Thus, the value composite on its own proves to be a very valuable tool for investors hunting for bargains in the stock market.
Financial Strength and Earnings Quality Composites
Our next two composites also add excess return on their own, but are actually better used to identify which stocks to avoid. We’ll start with the financial strength composite.
The financial strength composite ranks stocks on the following four factors: external financing, debt-to-cash flow ratio, debt-to-equity ratio and one-year change in debt. The composite is created exactly like the value composite, with stocks with the best levels for each factor receiving a 1 and stocks with the worst levels for each receiving a 100. In the case of the financial strength composite, stocks missing a value for a factor are ignored; to be included in the composite, a stock must have a value for at least two of the four factors.