iShares California Muni ETF Performance
| CMF ETF | USD 57.24 -0.03 -0.05% |
Risk-Adjusted Performance
0High
0 · Weak
During the last 90 trading days, iShares California Muni produced returns below breakeven, signaling weak efficiency for investors with long positions. At micro-cap scale, institutional coverage and secondary-market liquidity are typically well established. Recent data for IShares California shows marginal performance, with return efficiency hovering near breakeven. Learn More
Relative Risk vs. Return Landscape
If you had invested $ 5,805 in iShares California Muni on February 10, 2026 and sold it today, you would have lost $ 81.00 , a decline of 1.4% over 90 days. iShares California Muni is generating negative expected returns assuming volatility of 0.2344% on return distribution over 90 days investment horizon. In relative terms, IShares California exhibits above-average volatility, exceeding roughly 98% of comparable etfs, and CMF delivers lower expected returns than 99% of comparable equities over the next 90 days. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
Price behavior in IShares ETF may occasionally drift away from historical averages, particularly during periods of elevated market sentiment or uncertainty. However, deviations from historical norms do not necessarily imply that prices will quickly reverse.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 57.24 | 90 days | 57.24 | about 68.06 % |
A normal distribution analysis suggests that the odds of IShares California moving above the current price in 90 days from now are about 68.06 %. Recent return data has shown a distribution that skews above the current level over this window. (The chart shows where the base-case price path for IShares ETF has been concentrating over 90 days). Wider tails indicate a broader spread of plausible outcomes for IShares ETF.
IShares California Price Density |
| Price |
Predictive Modules for IShares California
The ETF market offers a wide variety of forecasting techniques applicable to instruments like iShares California Muni. While no single technique guarantees accuracy, combining multiple methods often improves prediction reliability.Mean reversion in IShares California's price occurs when temporary dislocations correct back toward its historical intrinsic value estimate. This tendency of IShares California's price to converge to an average value over time is called mean reversion.
Primary Risk Indicators
The ETF market has gone through extended turbulence over the past two decades, and IShares California has not been immune. Sharp price drops and substantial rallies have shaped IShares California's value during this period.α | Alpha over Dow Jones | -0.0342 | |
β | Beta against Dow Jones | 0.12 | |
σ | Overall volatility | 0.49 | |
Ir | Information ratio | -0.2173 |
Investor Alerts and Insights
Setting up alerts on IShares California ensures that material changes in technical or fundamental conditions are not missed. Notifications for iShares California Muni surface changes in technical patterns and fundamental metrics that could influence decisions.| IShares California generated a negative expected return over the last 90 days |
IShares California Fundamentals Growth
IShares California's fundamentals serve as the primary lens through which investors evaluate IShares ETF. Key drivers such as revenue growth, earnings trends, and margin expansion directly influence IShares ETF valuation.
| Total Asset TTM | 1.66 B | |||
Performance Metrics & Calculation Methodology
Drawdown and recovery analysis for IShares California reveals how the fund behaves during stress episodes and subsequent rebounds. Historical price behavior suggests relatively stable downside characteristics.
iShares California Muni analytics rely on fund disclosures and market reference feeds, with quality checks and normalization applied. Return and risk statistics are calculated from historical price series.
Editorial review and methodology oversight provided by: Gabriel Shpitalnik, Member of Macroaxis Editorial Board