The random walk and two theories of stock value
Chapter 1 of 18 · 11 min
In 1973 the Princeton professor Burton Malkiel published a book that would infuriate an entire industry: chartists, analysts and fund managers all had their methods examined with the same question — where is the evidence? Fifty years and twelve editions later, A Random Walk Down Wall Street is still the best vaccine against being fooled on the stock exchange.
Malkiel's core concept is the random walk. He defines it bluntly: a random walk is one in which future steps or directions cannot be predicted on the basis of past actions. Translated into the language of the stock exchange: short-term price changes are largely unpredictable — history contains no usable information about tomorrow's movement.
This is not the same as saying that prices are crazy or that stocks are random in the long term. It is a claim about predictability, not about sanity. The difference between these two readings is the whole course.
Malkiel sets two old theories against each other. The firm foundation theory says that every stock has an intrinsic value, determined by expected dividends, growth rate, risk and the level of interest rates — buy below the value, sell above. The castle-in-the-air theory, which Malkiel links to Keynes, says that prices are driven by psychology: what pays off is guessing what everyone else will find attractive.
Keynes illustrated with the newspaper beauty contest: you win not by choosing the most beautiful faces, but the ones most other readers will vote for. Bubbles are the castle-in-the-air theory in full bloom.
Malkiel's point is not that one theory is true and the other false — but that the market constantly hovers between them. Smart money tries to calculate on a firm foundation, but when a narrative becomes strong enough even rational investors start buying castles in the air, aware that they can sell them more expensively to someone even more hopeful.
That is why valuation discipline (AKM1 V04–V06) must always be paired with an understanding of what the market's mood does to the valuation multiple. The valuation multiple is not just math — it is also a mood gauge.
This course is the bridge between AKM1 and AK1TS. From Malkiel you learn to put the uncomfortable question to every method: what information does your edge rest on, and what would show that you are wrong? When you calculate valuation (V04–V06), margin of safety (Graham's principle) and moat (V13–V15) in AKM1, Malkiel will stand at your shoulder and ask: is this edge already priced in? When you study wave theory and patterns in AK1TS, he asks: have you tested the rule outside your own sample, with costs? The book deliberately ticks off the questions — chapter by chapter, bubble by bubble.