VANGUARD CALIFORNIA Mutual Fund Forward View - Polynomial Regression
| VCITX Fund | USD 11.47 0.01 0.09% |
Momentum
Sell Peaked
Oversold | Overbought |
The hype perspective for Vanguard California Long Term maps headline activity to recent price response and peer coverage.
The Polynomial Regression forecasted value of Vanguard California Long Term on the next trading day is expected to be 11.44 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.70.VANGUARD CALIFORNIA after-hype prediction price | $ 11.47 |
This hype view sits alongside price forecasting, technical analysis, analyst consensus, earnings estimates, and momentum indicators.
VANGUARD |
VANGUARD CALIFORNIA Additional Predictive Modules
Predictive models for VANGUARD CALIFORNIA combine technical indicators with statistical methods to estimate probable price trajectories. Non-stationary data - where mean and variance shift over time - is the norm for VANGUARD, making adaptive models preferable.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Polynomial Regression Price Forecast For the 18th of March 2026
Given 90 days horizon, the Polynomial Regression forecasted value of Vanguard California Long Term on the next trading day is expected to be 11.44 with a mean absolute deviation of 0.03 , mean absolute percentage error of 0.0012 , and the sum of the absolute errors of 1.70 .Please note that although there have been many attempts to predict VANGUARD Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that VANGUARD CALIFORNIA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest VANGUARD CALIFORNIA | VANGUARD CALIFORNIA Price Prediction | Research Analysis |
Forecasted Value
Forecasting Vanguard California Long Term for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The current forecast range spans downside near 11.26 and upside near 11.62.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of VANGUARD CALIFORNIA mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD CALIFORNIA mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 113.2148 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0274 |
| MAPE | Mean absolute percentage error | 0.0024 |
| SAE | Sum of the absolute errors | 1.6972 |
The degree to which VANGUARD CALIFORNIA's exhibits mean reversion depends on how efficiently the market prices new information. In highly covered equities, the mean reversion window tends to be shorter.
After-Hype Price Density Analysis
The after-hype price distribution for VANGUARD CALIFORNIA helps investors understand how much of VANGUARD CALIFORNIA's predicted return comes from the central scenario versus tail outcomes. Strategies that rely on tail events for VANGUARD CALIFORNIA are inherently more speculative.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical news patterns for VANGUARD CALIFORNIA reveal how the market has historically digested different types of information about VANGUARD CALIFORNIA's business and market environment. VANGUARD CALIFORNIA's after-hype downside and upside margins for the prediction period are 11.29 and 11.65, respectively. The model extrapolates these patterns to estimate likely price boundaries following the next significant.
Current Value
Macroaxis estimates the after-hype price of Vanguard California Long Term across a 3 months horizon to evaluate where the instrument could settle once headline distortion subsides. VANGUARD CALIFORNIA is Very Low at this time.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as VANGUARD CALIFORNIA is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading VANGUARD CALIFORNIA backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with VANGUARD CALIFORNIA, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.02 | 0.18 | 0.00 | 0.01 | 23 Events | 4 Events | In 23 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
11.47 | 11.47 | 0.00 |
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Hype Timeline
Vanguard California is at this time traded for 11.47. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 0.01. VANGUARD is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 72.0%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.02%. %. The volatility of related hype on VANGUARD CALIFORNIA is about 42.45%, with the expected price after the next announcement by competition of 11.48. Assuming a 90-day horizon the next anticipated press release will be in 23 days. Historical Fundamental Analysis of VANGUARD CALIFORNIA can be used to cross-verify projections for VANGUARD CALIFORNIA. The view provides historical context for the projection set.Related Hype Analysis
Peer hype analysis helps investors build a more complete picture of VANGUARD CALIFORNIA's competitive environment by quantifying the market's sensitivity to news across all major players in VANGUARD CALIFORNIA's sector.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| VCLAX | Vanguard California Long Term | 0.61 | 20 per month | 0.11 | 0.19 | 0.26 | -0.34 | 1.04 | |
| VNYTX | Vanguard New York | 0.01 | 1 per month | 0.12 | 0.19 | 0.28 | -0.36 | 1.09 | |
| VPAIX | Vanguard Pennsylvania Long Term | 0.02 | 2 per month | 0.09 | 0.18 | 0.19 | -0.36 | 1.01 | |
| AIRR | First Trust RBA | 1.77 | 6 per month | 1.51 | 0.12 | 2.84 | -2.65 | 8.21 | |
| BBUS | JPMorgan BetaBuilders Equity | 0.00 | 0 per month | 0.00 | -0.02 | 0.91 | -1.28 | 3.46 | |
| KBWB | Invesco KBW Bank | 0.70 | 7 per month | 0.00 | -0.05 | 2.42 | -2.50 | 7.69 | |
| ESGE | iShares ESG Aware | 0.43 | 3 per month | 1.43 | 0.1 | 2.07 | -2.04 | 7.69 | |
| DFSD | Dimensional ETF Trust | 0.02 | 6 per month | 0.00 | 0.27 | 0.17 | -0.15 | 0.58 | |
| DLN | WisdomTree LargeCap Dividend | 0.48 | 2 per month | 0.54 | 0.13 | 0.73 | -1.03 | 2.98 | |
| FICSX | Fidelity International Small | 0.20 | 1 per month | 0.86 | 0.06 | 1.17 | -1.07 | 4.91 |
Other Forecasting Options for VANGUARD CALIFORNIA
The price trajectory of VANGUARD is the primary concern for any investor assessing it as an opportunity. VANGUARD Mutual Fund price charts are filled with noise that can easily mislead uninformed investment decisions.VANGUARD CALIFORNIA Related Equities
The following equities are related to VANGUARD CALIFORNIA within the Muni California Long space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing VANGUARD CALIFORNIA against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
VANGUARD CALIFORNIA Market Strength Events
Understanding the market strength of VANGUARD CALIFORNIA mutual fund enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in Vanguard California Long Term with greater precision.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 11.47 | |||
| Day Typical Price | 11.47 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 |
VANGUARD CALIFORNIA Risk Indicators
Reviewing VANGUARD CALIFORNIA's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding VANGUARD CALIFORNIA's and informs decisions about hedging and position.
| Mean Deviation | 0.1077 | |||
| Semi Deviation | 0.1086 | |||
| Standard Deviation | 0.1694 | |||
| Variance | 0.0287 | |||
| Downside Variance | 0.0952 | |||
| Semi Variance | 0.0118 | |||
| Expected Short fall | -0.14 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for VANGUARD CALIFORNIA
The amount of media and story coverage tied to Vanguard California Long Term can signal where market attention is concentrating at the moment. A disciplined read of coverage helps investors separate durable relevance from temporary noise.
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