The science of concentration — the focus investing program
Chapter 1 of 14 · 12 min
Robert Hagstrom published The Warren Buffett Way in 1994 and received a counter-question he could not answer in that book: once you have found the right companies — how many should you own, how large should the positions be, and how long should you hold? The Warren Buffett Portfolio (1999) is the answer, and its main thesis is radical: how you structure your portfolio is just as important as which stocks you choose. This chapter presents the focus investing program and distinguishes the course from its sibling course.
The Way course taught the principles: the circle, the moat, owners earnings, the margin of safety, the twelve questions in the right order. The Portfolio book begins where Way ended and observes that all twelve principles are genuinely present in a conventional portfolio of one hundred names, and yet the result is mediocre. The cause is not the choice of companies but the architecture of the portfolio: knowledge diluted across one hundred positions produces no edge of knowledge.
Hagstrom defines focus investing as the process of choosing a small number of companies — ten to fifteen, probably never more than twenty — that you can monitor in depth, commit significant portions of capital to, and hold through both underperforming and outperforming stretches. Concentration is not recklessness; it is the consequence of having done the homework.
The book's most cited support is Buffett's own letter. In the 1993 annual letter Buffett wrote, according to Hagstrom's account: a policy of portfolio concentration may well decrease risk, if it — as it should — raises the intensity of the investor's thinking about both the business and the purchase price. That is the exchange of meaning the whole book is built on: concentration decreases risk, it does not increase it, because it forces deeper analysis before the money is placed.
Buffett has also formulated the flip side: diversification is a protection against ignorance, and it makes very little sense for those who know what they are doing. The Way course quoted the sentence about the principles; here it is portfolio theory.
The book's intellectual structure has four legs, and the course follows them: probability theory (chapter six of the book: Pascal, Fermat, Bayes — the investor works with judgments, not frequencies), optimization mathematics (the Kelly formula: how large should the stake be when the probability is known), psychology (why intelligent people sabotage concentration) and complexity theory (what kind of system the market actually is, from the Santa Fe Institute).
None of the four is about choosing better companies — all four are about owning them right. That is the difference from Way, and it is why this course exists as a separate whole: Way = which ones, Portfolio = how many, how large, how long.
For the AK1A ecosystem the book lands above AKM1. AKM1's twenty variables (V01-V20, 0-5 points) decide whether a company is worth owning — that is the Way level, the fundamental level. This course builds the storey above: how many AKM1-selected companies the portfolio should hold, how the weights are set (Kelly logic in the portfolio builder), how turnover (portfolio churn, not company revenue) is kept down, and how the result is measured (rolling windows instead of quarterly chasing).
The course's recurring links are therefore three: the Bayesian scripts in ak1a-analys (chapter seven), position sizing in the portfolio builder (chapter eight) and the AKM1 score as input to everything (chapters six and fourteen).