William Blair Small Mid Fund Manager Performance Evaluation

WSMDX Fund  USD 30.08  0.40  1.35%   
William Blair's period returns and the standard risk-adjusted performance ratios are summarized. Based on the 3 months horizon, William Blair shows an expected return of 0.0879%.
Risk-Adjusted Performance
0High
4 · Mild
William Blair Small Mid trails 4% of funds and fund portfolios in risk-adjusted return over the most recent 90-day window. The ranking helps frame whether return has been adequate relative to the risk absorbed. William Blair is producing inconclusive returns, with efficiency neither rewarding nor decisively penalizing holders. Learn More

Relative Risk vs. Return Landscape

If you had invested $ 2,864 in William Blair Small Mid on February 10, 2026 and sold it today, you would have earned $ 144.00 , a return of 5.03% over 90 days. William Blair Small Mid is currently producing a 0.0879% return and carries 1.43% volatility of returns over 90 trading days. Stated differently, William Blair is more volatile than roughly 88% of traded mutual funds, and WSMDX is outperformed by 99% of traded instruments in expected return over the next 90 trading days.
  Expected Return   
       Risk  
This relative risk-return summary evaluates how the instrument behaves against its benchmark. It works best as a comparative read on return quality, drawdown exposure, and volatility burden. Based on a 90-day horizon, WSMDX generates 1.55 times more return on investment than the market. However, WSMDX is 1.55 times more volatile than its market benchmark. Its risk-adjusted efficiency stands at about 0.06% per unit of risk. Dow Jones Industrial is currently generating roughly -0.02% per unit of risk.

Target Price Odds to finish over Current Price

Some traders use historical trading ranges as one reference point when evaluating whether William Blair Mutual Fund appears relatively overextended or discounted. Historical valuation ranges should be interpreted cautiously, especially during periods of strong momentum or macroeconomic stress. The relationship between price and historical averages can weaken during periods of elevated uncertainty. Historical pricing context may help frame expectations, but it does not guarantee future price direction.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
30.08 90 days 30.08
under 4%
Statistical modeling indicates that the probability of William Blair moving above the current price in 90 days from now is under 4%. The historical return profile over this window has produced more above-current than below-current outcomes. (This fund distribution maps the range in which William Blair Mutual Fund has been most likely to trade over the next 90 days).
Based on a 90-day horizon, the mutual fund has the beta coefficient of 1.33 . This entails when the benchmark rises, WSMDX tends to outperform it on average. However, when benchmark returns turn negative, William Blair tends to underperform. Additionally, William Blair Small Mid has an alpha of 0.1196, implying that it can generate a 0.1196 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   William Blair Price Density   
       Price  

Predictive Modules for William Blair

Accurately predicting the fund market is one of the most challenging tasks for investors analyzing William Blair Small. No single approach dominates, but the practice of forecasting remains an essential element of the investment process. Applying a variety of techniques rather than relying on a single model for William Blair Small improves the reliability of the conclusion. The practice of comparing forecasts for William Blair Small builds analytical resilience regardless of which model proves most accurate.
Mean reversion setups in William Blair emerge when price has deviated materially from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in William Blair. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in William Blair. The mean reversion signal gains reliability when combined with fundamental confirmation for William Blair.
Sentiment
Range
LowSentimentHigh
27.0228.4533.09
Details
Intrinsic
Valuation
LowIntrinsicHigh
27.0732.7934.22
Details
This analysis measures William Blair's competitive standing across key financial and valuation dimensions. Relative margins, returns, and growth rates indicate whether William Blair's valuation reflects competitive positioning. Relative performance on margins and returns indicates whether the current valuation premium or discount is justified. Competitive standing on returns, margins, and growth relative to peers frames William Blair's current market pricing.

Primary Risk Indicators

Volatility has been a defining feature of the mutual fund market in recent decades, and William Blair has reflected that pattern. Sudden corrections and sharp rallies have tested many portfolios that include William Blair. A risk management approach built around William Blair's volatility metrics manages downside exposure. Tracking William Blair's risk indicators over time reveals how the risk profile evolves across market cycles.
α
Alpha over Dow Jones
0.12
β
Beta against Dow Jones1.33
σ
Overall volatility
1.06
Ir
Information ratio 0.08

William Blair Fundamentals Growth

The pricing of William Blair Mutual Fund is heavily influenced by William Blair's fundamental performance over time. Investors monitor revenue growth, profit margins, cash flow generation, and debt management as key indicators. The performance of William Blair Mutual Fund is closely linked to William Blair's underlying financial metrics and growth rates. Profitability trends, cash flow generation, and capital structure remain the key fundamentals for William Blair Mutual Fund.

Performance Metrics & Calculation Methodology

Return quality for William Blair measures how stable NAV growth has been across rolling measurement windows. Consistent positive returns across rolling windows support confidence in structural performance patterns.

William Blair Small Mid metrics are compiled from fund disclosures and market reference feeds and normalized before display. Return and risk statistics are calculated from historical price series.

Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board