Abrams Capital Management, L.P. 13F holdings and portfolio analysis

ReadyAbrams Capital Management, L.P. · David Abrams

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Baseline

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Baselinetested
Strategy Q&A reference3 reference Q&A

Pre-generated Q&A about this fund. Use as reference context for your own analysis.

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

Directly following the baseline means accepting an extremely concentrated portfolio with delayed 13F-style implementation. In the baseline artifact, the top holding LOAR is 39.47%, top 5 concentration is 83.79%, and top 10 is effectively 99.98%. Sector exposure is dominated by Industrials at 39.5% and Consumer Discretionary at 39.01%, with Communication Services at 14.76% and only small weights elsewhere. That structure produced a positive 82.63% total return and 6.47% annualized return, but also a -29.82% max drawdown and negative alpha of -0.28 versus SPY. The baseline risk notes also flag 266 trades, 1.03 estimated cost, and reporting lag as additional copycat risks.

Show me how much of the baseline risk comes from LOAR and the consumer discretionary sleeve versus the rest of the portfolio.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

The baseline trade-off is best illustrated by periods where it protected less than expected in bad markets and lagged badly in strong ones. Positive examples include 2022-12-31, when the baseline beat SPY by 4.15 points, and 2024-12-31, when it outperformed by 2.13 points despite a negative quarter. But the bigger story is the lag in upside periods: 2024-06-30 delivered only 2.04% for the baseline versus 9.83% for SPY (-7.79 pts excess), and 2025-03-31 returned 2.62% versus SPY’s 9.22% (-6.60 pts excess). Turnover in these periods was modest to moderate—10.32 at 2024-06-30 and just 1.74 at 2025-03-31—so the shortfall was more about portfolio structure than frantic trading.

Plot the baseline’s excess return by quarter and highlight the quarters with the largest positive and negative gaps versus SPY.
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

A user should inspect concentration, sector dependence, and lag sensitivity before accepting the baseline. The baseline artifact shows LOAR at 39.47%, LAD at 14.99%, GOOGL at 10.87%, SGI at 9.38%, and ABG at 9.08%, so five names drive 83.79% of weight. The sector mix is also narrow, with Industrials and Consumer Discretionary combining for 78.51%. On execution quality, the baseline uses delayed holdings, had 266 trades, and incurred 1.0264 estimated cost, while recovery from drawdowns took 259 days. Those are the next checkpoints because they determine whether the investor is comfortable with copycat lag and a top-heavy structure, not just the 6.47% annualized return headline.

Walk me through the baseline’s top holdings, sector weights, and implementation costs so I can judge whether the structure is worth the lag risk.
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