MPGF.X — Trust for Professional Managers - Mairs & Power Growth Fund 13F holdings and portfolio analysis

已就緒Trust for Professional Managers - Mairs & Power Growth Fund · Mairs & Power Funds

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Baseline

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策略問答參考3 條參考問答

基於這隻基金最新一期數據預生成的問答,可直接作為對話上下文使用。

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

Directly following the baseline exposes an investor to a top-heavy mega-cap portfolio with meaningful single-name and sector concentration, filing-delay risk, and only modest benchmark-relative efficiency. The baseline top 5 are 38.34% and top 10 are 55.10%, led by Microsoft at 11.37%, NVIDIA at 9.94%, Amazon at 7.38%, and JPMorgan at 5.40%. Sector exposure is dominated by Information Technology at 34.93%, then Industrials at 14.19% and Financials at 11.50%. Performance was 10.53% annualized with -0.97 alpha, 0.69 Sharpe, and -29.86% max drawdown, while the risk notes also highlight 1,596 trades, 1.23 estimated cost drag, and stale-holdings risk from delayed 13F-style implementation.

Show me how much baseline concentration falls outside the top 10 and whether that meaningfully improves diversification.
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

Recent baseline periods show a mixed trade-off: some upside capture, but repeated weak excess returns and elevated turnover. Stronger periods included 2023-03-31 with 8.33% return versus 7.90% for SPY (+0.42 excess) and 2023-12-31 with 5.99% versus 4.96% (+1.03). But more recent periods were weaker: 2024-09-30 returned just 0.22% versus SPY's 2.76% (-2.54), 2024-12-31 lost 5.62% versus -3.63% (-1.99), and 2025-06-30 gained only 0.98% versus 4.20% (-3.22). Those weaker periods also came with notable turnover, including 14.40 in 2024-09-30, 13.48 in 2024-12-31, and 17.00 in 2025-06-30, which helps explain why absolute returns did not translate into stronger alpha.

Plot the baseline's excess return against turnover by quarter so I can see whether higher trading actually helped.
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: concentration, implementation drag, and where underperformance came from. Structurally, top-10 concentration is 55.10% and Information Technology is 34.93%, so the portfolio is far from balanced. Implementation is also important because the baseline used 1,596 trades with 1.23 total estimated cost drag, and turnover reached 17.77 in 2025-03-31 and 17.00 in 2025-06-30. Finally, the quarterly record shows several meaningful shortfalls versus SPY, including -2.54 excess in 2024-09-30, -1.99 in 2024-12-31, and -3.22 in 2025-06-30, which should be reconciled against the holdings and sector exposures driving those periods.

Identify which holdings and sectors most likely drove the baseline's worst excess-return quarters.
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