Fairholme Capital Management, L.L.C. 13F holdings and portfolio analysis

準備完了Fairholme Capital Management, L.L.C. · Bruce Berkowitz

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Baseline

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Baselinetested
戦略Q&Aリファレンス3件のリファレンスQ&A

このファンドについて事前生成されたQ&A。独自分析の参照コンテキストとして活用してください。

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

Directly following the baseline exposes an investor to an extremely top-heavy portfolio dominated by one real-estate-linked name. In the baseline artifact, JOE alone is 81.79%, EPD is 12.39%, and OZK is 2.99%, while the top 5 holdings total 98.88% and top 10 are 99.84%. Sector weights are likewise concentrated in Real Estate at 81.79%, then Energy at 12.96% and Financials at 4.76%. The backtest still produced 14.28% annualized return and 4.84 alpha, but the trade-off was a -44.09% max drawdown and only moderate Sharpe of 0.61.

Show me how much of the baseline portfolio’s return and drawdown is explained by JOE versus the rest of the holdings.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

Three recent baseline periods capture the trade-off clearly. In 2023-03-31, the portfolio returned 41.37% versus 7.9% for SPY, generating 33.46 points of excess return with 8.56 turnover across 9 trades, which shows the upside of concentration when the core thesis works. In 2024-06-30, the baseline lost 10.34% while SPY gained 9.83%, a -20.17 point excess gap, showing how painful relative drawdowns can be even without extreme turnover. In 2025-06-30, the portfolio rebounded with 12.38% versus 4.2% for SPY, adding 8.18 points of excess return on only 1.91 turnover and 8 trades, illustrating that the same concentrated structure can swing from deep lagging to strong outperformance.

Plot the baseline period returns and excess returns for 2023-03-31, 2024-06-30, and 2025-06-30 to visualize the trade-off.
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

Before accepting the baseline, the user should inspect concentration, drawdown path, and turnover stability. The artifact flags top-five concentration at 98.88%, a -44.09% max drawdown, and quarterly turnover that ranged from 0.78 in 2023-12-31 to 5.92 in 2024-12-31. The risk notes also highlight that the backtest spans only 39 periods and uses disclosure-driven lag. Given those constraints, the most important next step is to review the NAV, benchmark, and drawdown series around the worst loss windows and check whether the investor can tolerate a portfolio driven mainly by JOE and a few supporting names.

Show me the baseline drawdown timeline and turnover history together so I can judge whether the concentration risk is acceptable.
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