E7 — Pattern Essays

The Random Walk#

Essay
1 min read
◆ The PatternEach step is random, yet the path that emerges has structure

Imagine a drunkard leaving a lamp post, each step equally likely to go left or right. Where will they be after a thousand steps? Not where they started. The distance from the lamp post grows, though in no predictable direction. This is a random walk, and it describes stock prices, the diffusion of molecules, the path of a pollen grain in water.

The surprising thing is the square-root law: after n steps of size 1, the typical (root-mean-square) distance from the start is √n, not n. Quadrupling your time only doubles your uncertainty. A four-year forecast is twice as uncertain as a one-year forecast, not four times as uncertain.

Random walks also explain why past prices carry almost no information about future prices in efficient markets. Each step erases the memory of the last. The path looks meaningful in hindsight. It was not.

Five simultaneous random walks, each unique and none predictable
What to rememberUncertainty grows with the square root of time, and a convincing path in hindsight may carry no signal at all.
References
[1] Pearson, K. (1905). The Problem of the Random Walk. Nature, 72(1865), 294. doi:10.1038/072294b0
[2] Malkiel, B. G. (1973). A Random Walk Down Wall Street. W. W. Norton & Company.
[3] Fama, E. F. (1965). Random Walks in Stock Market Prices. Financial Analysts Journal, 21(5), 55–59. doi:10.2469/faj.v21.n5.55

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Pattern bridge: The paper trading activity lets you test whether you can beat a random walk, and time-series analysis is the tool for extracting the non-random component. Why the size of each step decides whether a walker survives at all is the subject of Small, Reversible Bets.
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