Stocks Article
Charles Schwab & Co., Inc.
 
Call us at 866-232-9890
Send us an email
 
Printer-friendly
Type Size: A A A

ShareShare

Investment Lessons From the World of Baseball
by Greg Forsythe, CFA, Senior Vice President, Schwab Equity Ratings®, Schwab Center for Financial Research
February 13, 2008

I loved absorbing sports statistics as a kid, but never dreamed that comparing Johnny Bench to Pete Rose would be career preparation for using quantitative techniques to evaluate the stock market. So you can imagine my delight when I read a book called Moneyball, written by business author Michael Lewis. Moneyball tells the story of the Oakland A's, who have used a unique statistical approach to analyzing players and game strategies to compile one of the best records in baseball in recent years, despite being limited by a shoestring payroll budget.

The parallels between what Oakland has learned from objectively researching baseball success and what Schwab has learned about successful stock selection are fascinating. In this article, we'll highlight two particularly relevant lessons.

To play the odds, you have to know the odds
Obviously, baseball managers prefer to have the best players on their teams. In close games, managers seek strategic advantage by substituting relief pitchers or pinch hitters and by attempting to manufacture runs with a stolen base or sacrifice bunt. But how does one determine who are the best players? How does one decide whether a sacrifice bunt is worth the risk?

Traditionally, baseball teams have used experienced managers to make such decisions, who supplement gut instinct with selected statistics. Hitters are measured by batting average, fielders by fielding percentage, and pitchers by the speed of their fastball. But the game of baseball can be subjected to much more intensive scrutiny. By doing so, the Oakland A's discovered that conventional baseball wisdom is often wrong. For example, they learned that on-base percentage is a better indicator of a hitter's run contribution than batting average and that attempting a sacrifice bunt significantly lowers the likelihood of scoring. By explicitly linking player statistics and game scenarios to actual outcomes, i.e., runs scored, the A's have been able tilt the odds in their favor as they select players and execute game situation strategies.

Similarly, in investing, you can do better than rely on your own experience or that of a money manager to make stock selection decisions. By rigorous analysis of investment outcomes, i.e., stock returns, Schwab has discovered key statistics that historically have increased the likelihood of finding stocks that outperform the market. For example, recent free cash flow growth is a better predictor of subsequent stock returns than the much more commonly used earnings growth measure. Also, companies that report earnings per share (EPS) above consensus forecasts last quarter are much more likely than average to report another positive surprise this quarter.

Past performance and future potential are important, but not priceless
Baseball teams constantly make personnel changes in an attempt to field a winning team and make a profit while doing so. Decisions about draft choices, trading players, and contract offers are based on judgments of a player's particular skills, current performance, and future potential. The difficulty is that the wisdom of today's decisions will only be known later.

Rather than relying strictly on judgment, the Oakland A's used statistical analysis to correlate future performance to past performance and current contract costs. Once again, the A's found exploitable patterns. For example, drafting high school players based on their athleticism and upside potential tended to cost more and produce poorer results than drafting less flashy prospects who had demonstrated success in college baseball. They also learned that teams were often too quick to offer large, long-term contracts to players who had one big year or to aging stars. In other words, the A's learned that certain player attributes were consistently overpriced: future potential, recent performance, and long-term past performance.

At Schwab, we believe we have found similar patterns in the pricing of stocks. For example, stocks with high forecasted long-term EPS growth have historically underperformed stocks with lower expected growth potential. Stocks with recent strong EPS growth often lead investors to extrapolate such rapid growth too far into the future. And finally, stocks with the highest historical five-year EPS growth are generally unable to sustain above-average growth in the following five years.

An exclusive solution, just for Schwab clients
Not surprisingly, the baseball establishment has reacted defensively to the decision-making approach used by the Oakland A's, despite the A's having by far the lowest "player cost per win" statistic in baseball. Wall Street likes to cling to the tradition of using analysts to recommend stocks. At Schwab, we have a different approach that is proving its value—Schwab Equity Ratings, which is the basis of many of our investment products.

Few individual investors have the time or tools to research the stock market to the extent the Oakland A's have studied the game of baseball. But fortunately for Schwab clients, we have done much of the work for you with our Schwab Equity Ratings. By studying thousands of stocks over decades of time, we believe we have isolated many of the key current attributes of stocks with the potential to be future market winners and losers. While Schwab Equity Ratings don't guarantee investment success, they are designed to help tilt the odds in your favor. Since inception in May 20021, the average A-rated stock has outperformed the average of all rated stocks on a 52-week buy-and-hold basis by a wide margin, 25.05% vs. 20.93%. We encourage you to visit www.schwab.com or to talk to a Schwab representative to learn more about how Schwab Equity Ratings and related investment products might help you become a more successful investor. 

Important Disclosures

1. Averaged over all 52-week periods from May 6, 2002 through December 31, 2007.

Schwab Equity Ratings are assigned to approximately 3,000 of the largest (by marketing capitalization) U.S. headquartered stocks using a scale of A, B, C, D and F. Schwab's outlook is that A-rated stocks, on average, will strongly outperform and F-rated stocks, on average, will strongly underperform the equities market over the next 12 months. Each of the approximately 3,000 stocks rated in the Schwab Equity Ratings universe is given a score that is derived from several research factors.

The Schwab Equity Ratings and stock lists or models are not personal recommendations for any particular investor. Before buying, investors should consider whether the investment is suitable for themselves and their portfolio.

The information provided here is for general informational purposes only and should not be considered an individualized recommendation or personalized investment advice. Each investor needs to review an investment strategy for his or her own particular situation before making any investment decision.

All expressions of opinion are subject to change without notice in reaction to shifting market conditions.

Past results are not indicative of future performance.

(0208-3886)

Return to Top


Market Insight Alert Email
New Schwab commentary every two weeks:
  • Monday: Liz Ann Sonders
  • Thursday: Schwab Sector Views
  • Friday: Schwab Market Perspective
Clients can sign up now
Learn more