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

準備完了Oaktree Capital Management, L.P. · Howard Marks

サインインして選択中のプランから新しいブランチをクローンし、引き続き最適化を行ってください。

公式
ユーザーブランチ
ファンドに戻る

Baseline

分析メッセージ
ブランチ：
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 means accepting very heavy concentration and stock-specific risk. In the baseline strategy view, the top 5 holdings are 96.51% of capital and the top 10 are 99.28%, with AU alone at 41.31%, GTX at 22.17%, and INDV at 18.96%. Sector exposure is similarly narrow: Materials 41.31%, Consumer Discretionary 23.10%, Health Care 20.15%, and Real Estate 8.21%. The result is not broad replication of a diversified 13F basket; it is effectively a handful of dominant bets.

↳Ask in the app whether reducing the top holding cap would materially improve diversification without losing the original thesis.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

The clearest recent baseline trade-off comes from a few periods with sharp underperformance despite modest turnover. In 2024-06-30, baseline returned 0.52% versus SPY at 12.13%, an excess loss of -11.61% with only 0.46 turnover and 2 trades. In 2025-03-31, baseline returned 0.28% versus SPY at 13.82%, a -13.53% excess result with 0.54 turnover and 2 trades. On the positive side, 2021-12-31 returned 11.30% against SPY at -5.97%, a strong 17.27% excess. These periods show the trade-off clearly: low trading and low beta can still leave the portfolio far behind in broad risk-on markets, but concentrated stock selection can occasionally create strong isolated outperformance.

↳Ask in the app to sort baseline periods by excess return and turnover to see which wins were skill versus concentration luck.
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

Before accepting the baseline, the user should inspect three things: concentration, drawdown behavior, and lag risk. The baseline summary already flags weak alpha (-2.73), low Sharpe (0.12), and max drawdown of -41.14%, while risk notes mention 807 historical transactions and delayed filing-based trades. The top 5 concentration of 96.51% means performance is driven mostly by AU, GTX, INDV, CBL, and STKL, so the next step is to test whether those names still fit the user’s own tolerance for single-name risk and whether the 13F lag still leaves any edge.

↳Ask in the app for a what-if analysis that caps baseline position sizes and re-runs the backtest versus SPY.
サインインしてこのファンドの戦略・保有銘柄・リスクについてAIとチャットしてください。
サインインしてチャットを開始…
このページの戦略やデータポイントを参照してください。