Contrarian Investment Strategies
Beating the crowd on Wall Street
Description
In the late 1990s, as the internet stocks climbed to numbers that no earnings could justify, a Wall Street money manager named David Dreman kept doing the unfashionable thing: buying dull, cheap companies that everyone else had lost interest in. He had been running money since the 1970s, and he had watched the same movie play out several times — the Nifty Fifty in the early seventies, biotech, oil, then dot-coms. Each time, the crowd fell in love with a story, bid the price to the sky, and then got hurt when the story broke. Dreman was writing a book about exactly this pattern while the pattern was repeating around him.
That book, Contrarian Investment Strategies, is less an investing manual than an argument with the entire profession. Dreman had spent decades collecting evidence that the most confident forecasts on Wall Street — from analysts, from economists, from star fund managers — were wrong far more often than anyone admitted. And he had noticed something stranger: the stocks the experts hated, the ones trading at bargain prices because their prospects looked dreary, tended to beat the market over long stretches. The glamour names, the ones everybody wanted, tended to lag. The crowd, it seemed, was reliably paying too much for excitement and too little for boredom.
His explanation was not that professionals were stupid. It was that they were human, and that human minds systematically misprice things under uncertainty. Dreman leaned on the emerging field of behavioral finance to explain why the mistake keeps happening — and why, decades after everyone learned the trick, it still works. That durability is the puzzle worth sitting with.
The question we’re asking : If everyone knows the crowd overpays for glamour, why does buying what the crowd hates still work?What we’ll see : How Dreman turns the crowd's predictable mistakes into a disciplined, numbers-first way of investing against it.
Table of contents
01Chapter 1 — The crowd is usually wrong
Dreman's starting move is to attack the thing most investors trust most: the forecast. He gathered decades of analysts' quarterly earnings estimates and compared them to what companies actually reported. The results were unkind. Analysts, on average, missed by margins large enough to wreck any strategy built on their precision — and the misses clustered exactly where it mattered, around the surprises that move stock prices. If the people paid to know the future are this far off this often, then any approach that depends on predicting earnings accurately is standing on sand.
The deeper point is that being wrong is not random noise; it runs in a direction. The crowd does not scatter its mistakes evenly. It piles into whatever has been working, extrapolates the recent past far into the future, and pays a premium for the comfort of the consensus. When a company has a great story and rising numbers, everyone wants in, and the price reflects a future that assumes the good times never end. When a company is dull or troubled, everyone edges away, and the price assumes the gloom is permanent.
02Chapter 2 — The mispricing hiding in plain sight
If forecasts fail and the crowd overpays for glamour, the opportunity has to live somewhere concrete. For Dreman it lives in the gap between what a company is worth and what fear or fashion has priced it at. Markets, in his telling, are not the efficient, all-knowing machines that finance textbooks describe. They are efficient enough most of the time and wildly off at the edges — and the edges are where money gets made and lost. The mispricing is not hidden in some secret data set. It is sitting in plain sight, disguised as a stock nobody wants to talk about.
Behavioral finance gives Dreman the mechanism. He draws on the work of Daniel Kahneman and Amos Tversky, whose experiments showed that people under uncertainty do not reason like calculators; they lean on shortcuts that misfire in predictable ways. We overweight vivid recent events. We grow overconfident in our own judgments. We chase what has risen and flee what has fallen. Applied to a market of millions, these individual quirks do not cancel out — they compound into collective mispricing, the same way a stadium crowd all leaning one way can tip a stand.
03Chapter 3 — The four numbers that beat the market
Dreman does not leave contrarianism as a mood. He turns it into a screen. The core of his method is to buy stocks that sit in the cheapest slice of the market on straightforward value measures — and to do it mechanically, so that emotion, the very thing that mispriced the stock, cannot talk you out of the trade. He builds the approach around a handful of ratios that any investor can compute, chief among them the price-to-earnings ratio, the price-to-book ratio, the price-to-cash-flow ratio, and dividend yield.
The logic is simple and repeatable. Sort the large, financially solid companies by, say, price-to-earnings, and buy from the bottom fifth — the cheapest, most ignored names. Dreman's long-run data suggests these low-ratio baskets beat the market and beat the expensive, glamorous baskets over time, across each of his chosen measures. The point of using several ratios rather than one is that no single number tells the whole story; a stock that looks cheap on all of them at once is a stronger candidate than one that looks cheap on a fluke.
04Chapter 4 — Why the edge refuses to close
Here is the objection any serious investor raises: if Dreman's contrarian strategy is this simple and this well documented, shouldn't it have been arbitraged away the moment he published it? Markets are supposed to erase free lunches. The fact that low-price-to-earnings buying kept working for decades after everyone could read about it is the real subject beneath the whole book — and Dreman's answer reframes what an investing edge even is.
His answer is that the edge is not informational; it is psychological. There is no secret in the ratios — anyone can run the screen. The edge lives in the difficulty of acting on it and staying with it. Buying the stocks that make you look foolish at dinner parties, holding them through years when the glamour names are soaring, resisting the urge to sell in a panic when a cheap stock gets cheaper — this is emotionally expensive, and most investors, professionals included, simply won't pay the price. The strategy is available to everyone and executable by almost no one.
05Conclusion
By the time Contrarian Investment Strategies had run through its editions, the dot-com boom Dreman had been warning about did what booms do: it broke, and the dull, cheap companies he favored held up far better than the glamour names that had made everyone rich on paper. It was not vindication so much as another turn of a wheel he had watched spin for thirty years. The forecasts had been confident and wrong again, the crowd had overpaid for a story again, and the boring bargains had done their quiet work again.