Cathie Wood Portfolio

Thesis

The portfolio is a concentrated bet on high-beta innovation, with a second, slightly stranger bet on the parts of financials that behave like venture capital with a ticker.

The numbers

• The diversification ratio is 1.74, at the 91.3th percentile on the platform, so there is real offsetting among names even though the theme is obvious.
• Effective asset count is 37.67 out of 168; that is a respectable breadth of names, but the risk is still carried by a much smaller core.
• Mean pairwise correlation is 0.25 and the top overlap pairs are extreme: ARKK with ARKB at 0.99, HOOD with ARKK at 0.84, COIN with HOOD at 0.82.

What works

• The portfolio spans several distinct earnings engines: software, biotech, industrial automation, and speculative trading/crypto, so it is not just one crowded trade in disguise.
• There are enough low-weight satellites that some names genuinely diversify the dominant cluster, which is why the diversification ratio is not mediocre.
• To be fair, the presence of names like DE, INTU, and CAT gives the portfolio a few ballast-like relationships that are not perfectly welded to the growth complex.

What does not

• The largest positions sit in tightly linked clusters, especially ARKK, COIN, HOOD, BMNR, CRCL, and ARKB; the math says those are cousins, not diversifiers.
• Several holdings have high portfolio correlations above 0.70 — HOOD, COIN, TEM, ACHR, RXRX, JOBY — so the portfolio’s effective risk is more concentrated than the name count suggests.

Stress Scenario

• If rates rise, speculative growth reprices, and crypto-linked risk appetite fades at the same time, the portfolio’s internal correlations would likely climb rather than cushion each other.
• If the market stops rewarding “duration plus narrative” names, the software, biotech, and fintech sleeves can start looking less like separate sleeves and more like one very enthusiastic sleeve.

Worth knowing

• The portfolio’s correlation structure fits a view on the same liquidity regime more cleanly than a view on separate businesses.
• Portfolios with this profile often look diversified until the factor tape gets stressed, and then the clustering becomes the main event.