You Can Be a Stock Market Genius: Uncover the Secret Hiding Places of Stock Market P
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Regulatory Issues
Financing
Shareholder Approval
Antitrust Issues
Stock Market
Knowledge Is Power
Fish Out of Water
Coming of Age
Rags to Riches
Road Trip
Hidden Treasure
Underdog
Transformation
Overcoming Obstacles
American Dream
Finance
Spinoffs
Investment
Business
Investment Strategies
About this ebook
Fund manager Joel Greenblatt has been beating the Dow (with returns of 50 percent a year) for more than a decade. And now, in this highly accessible guide, he’s going to show you how to do it, too. You’re about to discover investment opportunities that portfolio managers, business-school professors, and top investment experts regularly miss—uncharted areas where the individual investor has a huge advantage over the Wall Street wizards. Here is your personal treasure map to special situations in which big profits are possible, including:
-Spin-offs
-Restructurings
-Merger Securities
-Rights Offerings
-Recapitalizations
-Bankruptcies
-Risk Arbitrage
Prepared with the tools from this guide, it won’t be long until you’re a stock market genius!
Joel Greenblatt
Joel Greenblatt is the founder and a managing partner of Gotham Capital, a private investment partnership that has achieved 40% annualized returns since its inception in 1985. He is a professor on the adjunct faculty of Columbia Business School, the former chairman of the board of a Fortune 500 company, the cofounder of ValueInvestorsClub.com, and the author of several books, including You Can Be a Stock Market Genius, The Big Secret for the Small Investor, and Common Sense. Greenblatt holds a BS and an MBA from the Wharton School.
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Reviews for You Can Be a Stock Market Genius
42 ratings5 reviews
- Rating: 5 out of 5 stars5/5Really unique and Excellent book on investing. It introduced me to new areas in investing which I was not exposed to before.
- Rating: 3 out of 5 stars3/5a decent book and for them intermediate investors not for novice investors
- Rating: 5 out of 5 stars5/5Wonderful book.
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- Rating: 5 out of 5 stars5/5no si no si no si no si no si 1951
- Rating: 4 out of 5 stars4/5Good book, got me interested in spin-offs and partial spin-offs.
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Book preview
You Can Be a Stock Market Genius - Joel Greenblatt
Chapter 1
FOLLOW THE YELLOW BRICK ROAD—
THEN HANG A RIGHT
It doesn’t make sense that a book can teach you how to make a fortune in the stock market. After all, what chance do you have for success when you’re up against an army of billion-dollar portfolio managers or a horde of freshly trained MBAs? A contest between you, the proud owner of a $24 how to
book, and these guys hardly seems fair.
The truth is, it isn’t fair. The well-heeled Wall Street money managers and the hotshot MBA’s don’t have a chance against you and this book. No, you won’t find any magic formula in chapter 8, and this isn’t a sequel to How to Succeed in Business Without Really Trying, but if you’re willing to invest a reasonable amount of time and effort, stock market profits, and even a fortune, await.
Okay: What’s the catch? If it’s so easy, why can’t the MBAs and the pros beat your pants off? Clearly, they put in their share of time and effort, and while they may not all be rocket scientists, there aren’t many village idiots among them either.
As strange as it may seem, there is no catch. The answer to this apparent paradox—why you potentially have the power to beat the pants off the so-called market experts
—lies in a study of academic thinking, the inner workings of Wall Street, and the weekend habits of my in-laws.
We start with some good news about your education: simply put, if your goal is to beat the market, an MBA or a Ph.D. from a top business school will be of virtually no help. Well, it’s good news, that is, if you haven’t yet squandered tons of time and money at a business school in the single-minded quest for stock market success. In fact, the basic premise of most academic theory is this: It is not possible to beat the market consistently other than by luck.
This theory, usually referred to as the efficient-market or random-walk
theory, suggests that thousands of investors and analysts take in all the publicly available information on a particular company, and through their decisions to buy and sell that company’s stock establish the correct
trading price. In effect, since stocks are more or less efficiently priced (and therefore, you can’t consistently find bargain-priced stocks), it is not possible to outperform the market averages over long periods of time. Although exceptions (e.g., the January effect, small size effects and low price/earnings strategies) are covered briefly by the academics, most of these market-beating
strategies are dismissed as trivial, transient, or difficult to achieve after factoring in taxes and transaction costs.
Since beating the market is out of the question, finance professors spend a lot of time teaching things like quadratic parametric programming—which, loosely translates to how to pick diversified stock portfolios in three-dimensional space. In other words, if you muddle through complex mathematical formulas and throw in a little calculus and statistical theory along the way, you stand a pretty good chance of matching the performance of the popular market averages. Wow! While there are plenty of other bells and whistles, the message is clear: You can’t beat the market, so don’t even try. Thousands of MBA’s and Ph.D.’s have paid good money for this lousy advice.
There are two reasons not to accept the basic teachings of the professors. First, there are some fundamental flaws in the assumptions and methodology used by the academics—flaws we’ll look at briefly later on, but which are not the central focus of this book. Second, and more important, even if the professors are generally correct and the market for stocks is more or less efficient, their studies and conclusions do not apply to you.
Obviously, most of Wall Street must also ignore the academics because the whole concept of getting paid for your investment advice, whether through commissions or investment advisory fees, doesn’t square too well with the idea that the advice really isn’t worth anything. Unfortunately for the professionals, the facts would seem to support the conclusions of the academics. If academic theory held true, you would expect the long-term record of pension and mutual-fund managers to equal the performance of the market averages reduced by the amount of the advisory fee. In a slight deviation from efficient-market theory, the professionals actually do approximately 1 percent worse per year than the relevant market averages, even before deducting their management fees. Does the theory that markets are more or less
efficient explain this disappointing performance on the part of professionals, or are there other factors at work that lead to these lackluster results?
THE PROFESSIONAL’S CHALLENGE
I spoke with a professional whom I consider one of the best in the business, a friend I’ll call Bob (even though his real name is Rich). Bob is in charge of $12 billion of U.S. equity funds at a major investment firm. For some perspective, if you went to the racetrack and placed a bet with $100 bills, $12 billion would stack twenty World Trade Centers high (needless to say, a bet that would almost certainly kill the odds on your horse). According to Bob, the bottom line and the measure of his success is this: How does the return on his portfolio stack up against the return of the Standard & Poor’s 500 average? In fact, Bob’s record is phenomenal: over the past ten years his average annual return has exceeded the return of the S&P 500 by between 2 and 3 percent.
At first blush, the word phenomenal
and an increased annual yield of 2 or 3 percent seem somewhat incongruous. Though it is true that after twenty years of compounding even 2 percent extra per year creates a 50 percent larger nest egg, this is not why Bob’s returns are phenomenal. Bob’s performance is impressive because in the world of billion-dollar portfolios, this level of excess return is incredibly hard to come by on a consistent basis. Some quick calculations help expose the limitations imposed on Bob by the sheer size of his portfolio. Imagine the dollar investment in each stock position when Bob sets out to divvy up $12 billion. To create a 50-stock portfolio, the average investment in each individual stock would have to be approximately $240 million; for 100 stocks, $120 million.
There are approximately 9,000 stocks listed on the New York Stock Exchange, the American Stock Exchange, and the NASDAQ over-the-counter market combined. Of this number, about 800 stocks have a market capitalization over $2.5 billion and approximately 1,500 have market values over $1 billion. If we assume Bob does not care to own more than 10 percent of any company’s outstanding shares (for legal and liquidity reasons), it’s likely that the minimum number of different stocks Bob will end up with in his portfolio will fall somewhere between 50 and 100. If he chooses to expand the universe from which he chooses potential purchase candidates to those companies with market capitalizations below $1 billion, perhaps to take advantage of some lesser followed and possibly undiscovered bargain stocks, his minimum number could easily expand to over 200 different stocks.
Intuitively, you would probably agree that there is an advantage to holding a diversified portfolio so that one or two unfortunate (read bonehead
) stock picks do not unduly impair your confidence and pocketbook. On the other hand, is the correct number of different stocks to own in a properly
diversified portfolio 50, 100, or even 200?
It turns out that diversification addresses only a portion (and not the major portion) of the overall risk of investing in the stock market. Even if you took the precaution of owning 9,000 stocks, you would still be at risk for the up and down movement of the entire market. This risk, known as market risk, would not have been eliminated by your perfect
diversification.
While simply buying more stocks can’t help you avoid market risk, it can help you avoid another kind of risk—nonmarket risk.
Nonmarket risk is the portion of a stock’s risk that is not related to the stock market’s overall movements. This type of risk can arise when a company’s factory burns down or when a new product doesn’t sell as well as expected. By not placing all your eggs in a buggy-whip, breast-implant, pet-rock, or huckapoo-sweater company, you can diversify away that portion of your risk that comes from the misfortunes of any individual company.
Statistics say that owning just two stocks eliminates 46 percent of the nonmarket risk of owning just one stock. This type of risk is supposedly reduced by 72 percent with a four-stock portfolio, by 81 percent with eight stocks, 93 percent with 16 stocks, 96 percent with 32 stocks, and 99 percent with 500 stocks. Without quibbling over the accuracy of these particular statistics, two things should be remembered:
1. After purchasing six or eight stocks in different industries, the benefit of adding even more stocks to your portfolio in an effort to decrease risk is small, and
2. Overall market risk will not be eliminated merely by adding more stocks to your portfolio.
From a practical standpoint, when Bob chooses his favorite stocks and is on pick number twenty, thirty, or eighty, he is pursuing a strategy imposed on him by the dollar size of his portfolio, legal issues, and fiduciary considerations, not because he feels his last picks are as good as his first or because he needs to own all those stocks for optimum portfolio diversification.
In short, poor Bob has to come up with scores of great stock ideas, choose from a limited universe of the most widely followed stocks, buy and sell large amounts of individual stocks without affecting their share prices, and perform in a fish bowl where his returns are judged quarterly and even monthly.
Luckily, you don’t.
THE SECRET TO YOUR FORTUNE
Since Bob clearly has his hands full, where can an investor turn for insight into making a fortune in the stock market? For better or worse, all roads appear to leave us at the doorstep of my in-laws. (Don’t worry, I said mine—not yours.)
A typical weekend will find them scouting out a country auction, antique store, or estate sale looking for art or antiques that catch their fancy. As avid collectors, they seek out works that will give them joy to own and live with on a daily basis. As closet capitalists, they look for undiscovered or unrecognized works of art or antiques that they can buy at prices far below true value.
When in capitalist mode, the in-laws follow a very simple strategy. Whether they find a beautiful specimen of antique furniture at Podunk Fine Antiques & Tractor Parts or an impressionist painting from Grandma Bagodonuts’ attic, they ask themselves only one question before buying. Are there comparable pieces of furniture or paintings that have recently sold at auction (or to dealers) at prices far above the potential purchase price?
It’s truly that simple, although we can probably learn more from the questions they don’t ask. They don’t ask, Is this painter going to be the next Picasso?
or Is eighteenth-century French furniture going to skyrocket in value?
While it would be nice and perhaps more lucrative to be able to predict those types of future developments, few people can combine the ability, knowledge, and timing to foresee and profit consistently from future events. Whether the in-laws can or cannot predict the future is beside the point; they don’t have to—they already know how to profit from studying the present.
That doesn’t mean their knowledge of art and antiques doesn’t help them to make money, but many people can acquire that same knowledge. Their edge comes from taking this knowledge and applying it in places off the beaten path. While these places are tougher to find, once found, less competition from other informed collectors creates an opportunity for them to find inefficiently
priced bargains.
Finding bargain stocks works much the same way. If you spend your energies looking for and analyzing situations not closely followed by other informed investors, your chance of finding bargains greatly increases. The trick is locating those opportunities.
It’s like the old story about the plumber who comes to your house, bangs on the pipes once, and says, That’ll be a hundred dollars.
A hundred dollars!
you say. All you did was bang on the pipes once!
Oh no,
the plumber responds. Banging on the pipes is only five dollars. Knowing where to bang—that’s ninety-five dollars.
In the stock market, knowing where to bang
is the secret to your fortune. With that in mind, let’s uncover some of the secret hiding places of stock-market profits.
Chapter 2
SOME BASICS—
DON’T LEAVE HOME WITHOUT THEM
When I was fifteen, the only gambling establishment that would let me sneak in was the Hollywood Dog Track. This was a great thing because, during my first illicit visit, I discovered a sure-fire route to big greyhound riches. In the third race, there was a dog who had run each of his previous six races in only thirty-two seconds. The odds on this dog—well call him Lucky
—were 99-1. None of the dogs up against Lucky in the third race had managed a time better than forty-four seconds in any previous race.
Of course, I bet what passed for a small fortune at the time on Lucky to WIN. If all those fools who bet on the other dogs wanted to give me their money, so be it. However, as Lucky straggled down the home stretch in last place, my opinion of the other gamblers slowly began to change.
This was Lucky’s first race at a longer distance. Apparently, as everyone else already knew, Lucky’s spectacularly fast times in his previous races were achieved at much shorter distances. All the other dogs were experienced long-distance runners. My 99-1 sure thing was a mirage that quickly evaporated along with my money.
On the bright side, in less than a minute I learned a valuable lesson. Without a basic level of knowledge and understanding, you can’t tell a great investment from a real dog. So before you start hunting in the stock market’s back alleys for hidden investment jewels, here are some basics that should help in the search.
A FEW BASICS
1. DO YOUR OWN WORK
There are really two reasons to do your own work. The first is pretty simple. You have no choice. If you are truly looking at situations that others are ignoring, there will rarely be much media or Wall Street coverage. While there is usually plenty of industry or company information available, some of it quite helpful, almost none will focus on the special attributes that make your investment opportunity attractive. This should be fine with you; the more the merrier
is not your credo.
The other reason to do your own work is closely related. As much as possible, you don’t want to be well paid merely for taking big risks. Anyone can manage that. You want to be well paid because you did your homework. If you are one of the few people to analyze a particular investment opportunity, it follows that you are in the best position to assess the appropriate payoff for the risk taken. Not all obscure or hidden investment opportunities are attractive. The idea is to place your bets
in situations where the rewards promise to greatly outweigh the risks.
Naturally, everyone would like to invest in situations where the odds are stacked in their favor. But most people can’t because they don’t know these special opportunities exist. The payoff to all your legwork and analysis is the opportunity to invest in situations that offer unfair economic returns. Your extraordinary profits will not be a result of taking on big risks; they will be the justly deserved pay for doing your homework.
But is it any fun to invest when the odds are unfairly stacked in your favor? You bet it is.
2. DON’T TRUST ANYONE OVER THIRTY
3. DON’T TRUST ANYONE THIRTY OR UNDER
Get it? The odds of anyone calling you on the phone with good investment advice are about the same as winning Lotto without buying a ticket. It could happen, but it’s not bloody likely. When stockbrokers call or write, take Nancy Reagan’s advice: Just say No.
The record of research analysts at major brokerage firms for predicting future earnings or stock prices is quite poor—and if you believe the record of smaller brokerage firms who tout penny stocks is any better, please write me for a refund; you can’t be helped. Even institutional clients of reputable investment firms don’t get particularly good advice.
The reasons for this consistently poor showing are largely systematic in nature. The vast majority of analysts are not directly paid by clients. The research recommendations and reports produced by these analysts are peddled by the firm’s stockbrokers in exchange for commission business. One perennial problem is the overwhelming incentive for analysts to issue Buy
recommendations. The universe of stocks not owned by a customer is always much larger than the list of those currently owned. Consequently, it’s much easier to generate commissions from new Buy
recommendations than from recommendations to sell.
Another occupational hazard for research analysts is that analysts who pan a company’s stock are usually cut off from an important source of information. Crucial contact with company officers and information from investor-relations personnel may well be reserved for other, more cooperative
analysts. This obviously makes the job more difficult. In addition, the chance of the offending analyst’s investment firm capturing future investment-banking assignments from that company is probably slim. This is why popular euphemisms like source of funds
hold
and untimely
are used instead of the more direct Sell
recommendation.
There are several other problems besides this optimistic bias. It is very difficult to go out on a limb with earnings or stock-price predictions if all your fellow analysts think differently. It’s much safer to be wrong in a crowd than to risk being the only one to misread a situation that everyone else pegged correctly. As a result, getting fresh, independent thinking from analysts is the exception, not the norm.
Further, most analysts cover only one industry group. You have chemical analysts, bank analysts, and retail analysts who know little about the comparative investment merits of stocks in other industries. So when a chemical analyst says Buy
a stock in his industry, he has not compared its investment prospects against stocks in any of fifty other industry groups. A neighborhood in downtown Cleveland may look great next to one three blocks over, but not when compared to Beverly Hills.
Since an analyst’s job is to compare companies within particular industry groups, extraordinary corporate events often fall outside an analyst’s specific area of expertise. This is true even when these special events, like spinoffs or mergers, involve companies he does follow. Many analysts actually suspend ratings or drop coverage of companies that are undergoing major corporate changes—understandable given their job description, but not too helpful if their real goal is to give profitable investment advice.
The next thing analysts run up against is cold hard economics. It doesn’t pay for Wall Street analysts to cover stocks or investment situations unless they can generate enough revenue (read commissions or future investment-banking fees) to make the time and effort involved worthwhile.