List by Marc H Gerstein
The Little Book that Still Beats the Market Joel Greenblatt
This is certainly not the last word on strategy development but it's a great, and possibly the best, starting point. The book is every bit as "little" as the title suggests and its explanations are clear even for novices. Best of all, though, is what Greenblatt preaches: buy shares of GOOD COMPANIES that can be obtained at GOOD PRICES. That, ultimately, is what stock-market investing is all about. All else amounts to variations on this core theme. Moreover, Greenblatt worked with screening and ranking, meaning his ideas can be implemented directly on Portfolio123. In fact, we've done just that by offering a Greenblatt "All-Star" screen which follows his approach and also makes (and explains) our own changes - as an example of what you can do if, as we hope, you copy models like this into your account and adapt to your preferences.
Four Pillars of Strategic Thought
One Up on Wall Street Peter Lynch
The Warren Buffett Way Robert Hagstrom
It's Warren Buffett. Need we say more? Well, actually, we do. The only way to directly get Warren Buffett's words in writing is to read the Chairman's Letters from the Berkshire Hathaway annual filings. These are available in public documents so you certainly can do that, and you should read at least some of them. But this book presents what is probably as good an overall one-source summary as you'll see. Buffett never endorsed it, but he directly told me that he saw it (the first edition) before publication and did not communicate any objections to the author. As with the Lynch book, it's really tempting to adapt formulas to express this approach, and we've tried with one of our All-Star models. But Buffett didn't do formulas, so again, guidance regarding a mindset is what you're really after.
How to Make Money in Stocks William O'Neil
This classic, by the publisher of Investors' Business Daily, looks like it will be easy to use to create screens and ranks, but it can ultimately be frustrating when one notices that O'Neil withholds just enough information - a very small amount but just enough - to prevent us from precisely implementing on our own without subscribing to IBD. Even so, he offers much to help one develop a mindset and a different one from that you'd find in Lynch or Buffett. The latter are closer to buy-low/sell-high; O'Neil is more along the lines of buy-high/sell-higher.
Jim Cramer's Real Money Jim Cramer
Fundamental merit, valuation; ideas about how a stock should behave are vital. But so, too, are ideas about how stocks actually do behave, whether or not the purist would say the market is doing the wrong thing. Jim Cramer is a master at understanding and explaining this mindset. Don't be fooled by his CNBC antics. He was a very successful hedge-fund manager over a prolonged period of time. He knows what's what. And he can educate in an engaging and entertaining manner.
What's Behind the Numbers? John Del Vecchio and Tom Jacobs
Earnings quality is a hot topic and one that very often can't be addressed by screening and ranking with the sort of data we use. This book is an exception. Not everything discussed here readily lends itself to application on Portfoli123, but there is a lot that can be used - assuming you're willing to work slowly and diligently to build heavy-duty screens (more so screens than ranking systems).
Quantitative Value Wesley R. Grey and Tobias E. Carlisle
These authors use the Greenblatt model (his "magic formula") as a starting point, critique it, and develop their own enhanced version. The weakness of the book is that their new super formula can't be implemented on Portfolio123 (you'd need to license a database and hire your own developers). The strength of the book is the transparency of the thought process. You can learn a lot following the authors as they move from Point A to Point B.
Investment Valuation Aswath Damodaran
There's been much written about the topic of valuation and it can be difficult to collect and keep up with all of it. Damodaran does a great job in summarizing the accumulated theoretical wisdom and discussing issues that come up in terms of practical application. Not everything can be translated to a Portfolio123 system, but for a primer on the kinds of things you should or shouldn't try to do, this is a great resource.
Security Analysis: 6th Edition, foreword by Warren Buffett
Benjamin Graham and David Dodd
This is it; the big enchilada, THE classic. (Surely you didn't think I'd leave it out!) It's not an easy read. In fact, I'm not sure even Graham or Dodd's friends or relatives sat down and read cover to cover. The publishing house editors had no choice; they were getting paid to do that. Their students probably had to do it, or at least come close. But how can a serious investor not have it in his or her library? And actually, if you zero in on parts that impact issues with which you're wrestling, you can still find great wisdom in it. I continue to refer to it and quote it often.
What Works on Wall Street James O'Shaughnessy
The classic in factor study. Remember, though, if you think he's just data mining, it means you haven't read closely enough.
Quantitative Strategies for Achieving Alpha Richard Tortoriello
This is similar to O'Shaughnessy's work although not quite as well known. The two together make for a fascinating comparison. See what comes out the same data items and see where they differ. It's important to recognize that even when you engage in something so seemingly black-and-white as factor study, different conclusions can be reached; differences in detail that is. The underlying principles that make certain factors work are common to both works and transcend formula specifics.
The Inefficient Stock Market Robert A. Haugen
The book that planted a seed that eventually became Portfolio123. "The Inefficient Stock Market" is a nice slap in the face to Modern Finance. Mr. Haugen challenges that notion by creating and testing a non-optimized 20-factor ranking system. Besides confirming the value of what we do on Portfolio123 (test results showed a 32% annual return for the highest-rated stocks versus 18% for the S&P 500 over a 20-year period), the book offers an over-the-shoulder look, so to speak, at the process of developing a ranking system.