Maverick Capital, Ltd. 13F holdings and portfolio analysis

ListoMaverick Capital, Ltd. · Lee Ainslie

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Baseline

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Baselinetested
Referencia de preguntas y respuestas de estrategia3 preguntas de referencia

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baseline13FChat AI
What does directly following the disclosed baseline portfolio expose an investor to?

Directly following the baseline exposes an investor to a moderately concentrated, filing-lagged portfolio with hidden technology concentration. Top-5 concentration is 28.57%, top-10 is 46.18%, and top-20 is 70.06%. The largest weights are Microsoft 6.71%, NVIDIA 6.71%, Amazon 6.63%, Alphabet 4.32%, and Philip Morris 4.20%. Sector weights are led by Information Technology at 22.06%, Consumer Discretionary at 16.27%, Health Care at 16.20%, and Financials at 11.34%. The backtest also flags 7,950 trades and 4.05 estimated cost, plus explicit filing-lag risk in the risk notes, so the exposure is not just stock selection risk but also implementation drag and delayed information risk.

Show me which baseline top holdings contribute most to sector concentration and implementation risk.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

The recent quarters show why the baseline can add alpha but still feel inconsistent. The clearest strong periods were 2023-06-30 with 0.44% return versus -1.77% for SPY, a 2.21-point excess return, and 2024-12-31 with -1.24% versus SPY at -3.63%, a 2.39-point excess return. But weak quarters such as 2023-12-31 delivered only 2.08% versus SPY's 4.96% (-2.88 excess), 2024-06-30 returned 7.34% versus 9.83% (-2.49 excess), and 2025-03-31 returned 5.37% versus 9.22% (-3.85 excess) with turnover spiking to 52.27. That trade-off matches the overall profile: good long-run alpha at 2.19, but uneven benchmark-relative execution quarter to quarter.

Rank the baseline quarters by excess return and turnover so I can see when alpha was most efficient.
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

Before accepting the baseline, a user should inspect three things: first, the real industry composition behind the 22.06% Information Technology weight and the 28.57% top-5 concentration; second, the quarterly excess-return pattern, because periods like 2023-12-31, 2024-06-30, and 2025-03-31 lagged SPY by 2.88, 2.49, and 3.85 points; third, implementation friction, since the baseline used 7,950 trades with 4.05 estimated cost and explicit reporting-lag risk. The strategy summary itself says benchmark-relative consistency is mixed, so the next step is not just checking return but confirming whether the concentration, lag, and turnover are tolerable for your use case.

Drill into the baseline’s lagging quarters and show which holdings or sectors were responsible.
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