Diversification Done Right
The only free lunch in investing
Imagine two portfolios on January 1, 2000. Both hold five companies; both companies are excellent. Portfolio A holds five technology names — Cisco, Microsoft, Intel, Oracle, and Sun Microsystems.
Portfolio B holds Cisco, Procter & Gamble, JPMorgan, ExxonMobil, and Pfizer — same number of names, same average quality, but five different industries. Over the next 30 months, the Nasdaq fell 78%. Portfolio A gave back roughly two-thirds of its value; Portfolio B held within 15% of its starting value.
The five-name count was identical; the diversification was completely different. This lesson is about why those two portfolios behaved so differently — and why a portfolio's risk depends much more on what's in it than on how many things are in it. Diversification works mathematically because variance in a combined portfolio depends not just on the variance of each position, but on the correlation between them.
That is the opening. Finishing a lesson is where it stops being interesting and starts being useful: the full lesson runs to 5 sections and ends with 4 practice questions. A free account is what opens the rest, and the other 255 lessons in the Academy with it. No card.
What this lesson covers
- 1How many positions are enough?
- 2Markowitz mean-variance — the math behind the free lunch
- 3S&P 500 vs equal-weight S&P 500 — and the 'Mag 7' concentration problem
- 4Where to see this on the platform
- 5Summary