Appaloosa Management L.P. 13F holdings and portfolio analysis

준비됨Appaloosa Management L.P. · David Tepper

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Baseline

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Baselinetested
전략 Q&A 참조3개 참조 Q&A

이 펀드에 대한 사전 생성된 Q&A. 자신의 분석을 위한 참조 컨텍스트로 사용하세요.

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

Directly following the baseline means accepting a concentrated 13F clone with benchmark-like market exposure and filing-lag risk. The baseline top 5 concentration is 44.48% and top 10 is 66.68%, led by BABA at 12.69%, GOOGL at 9.44%, AMZN at 8.47%, MU at 7.21%, and META at 6.67%. Sector exposure is concentrated in Consumer Discretionary at 32.92%, Information Technology at 24.64%, and Communication Services at 17.38%. Backtest metrics show beta 1.00, max drawdown -29.75%, and identical optimized/original results, so there is no risk-reduction buffer from reweighting.

Ask the app to stress-test the baseline by removing the largest 1–3 holdings and measuring how concentration, drawdown, and return change.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

The best recent periods to study are the ones where excess return was strong but turnover and dispersion were high. In 2023-03-31, baseline returned 15.42% versus 7.90% for SPY, a 7.52-point excess return with 36.90% turnover. In 2025-06-30, it returned 11.74% versus 4.20%, a 7.54-point excess return with 46.78% turnover. On the weak side, 2024-03-31 returned -2.06% versus SPY’s 2.31%, a -4.38-point lag, and 2023-12-31 underperformed by -1.13 points despite 22.90% turnover. These periods show the trade-off clearly: alpha came in bursts, but the path was uneven and turnover was often meaningful.

Ask the app to decompose 2023-03-31, 2024-03-31, and 2025-06-30 by stock and sector contribution to see what drove the swing in excess return.
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

A user should inspect three things next: concentration, lag sensitivity, and turnover. First, the baseline holds 44.48% in the top five and 88.87% in the top twenty, so position-level risk matters a lot. Second, risk notes explicitly say the backtest uses filing-based implementation, creating a disclosure lag between manager action and copycat trade dates. Third, turnover can spike materially: 94.21% in 2023-06-30, 46.78% in 2025-06-30, and 46.27% in 2025-09-30, with trade counts reaching 36 in the latest listed period. Those three checks matter more than headline return alone.

Ask the app to show how much of baseline return survives after filing lag, turnover costs, and a cap on top-holding weights.
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