VANGUARD HEALTH Mutual Fund Forward View - Triple Exponential Smoothing
| VGHAX Fund | USD 83.52 -1.66 -1.95% |
Momentum
Sell Peaked
Oversold | Overbought |
This view frames how Vanguard Health Care responds to recent headlines and peer activity within its market context.
The Triple Exponential Smoothing forecasted value of Vanguard Health Care on the next trading day is expected to be 83.23 with a mean absolute deviation of 0.68 and the sum of the absolute errors of 40.94.VANGUARD HEALTH after-hype prediction price | $ 83.52 |
Sentiment indicators are one input among forecasting models, technical signals, analyst estimates, earnings data, and momentum measures.
VANGUARD |
VANGUARD HEALTH Additional Predictive Modules
Most predictive techniques to examine VANGUARD price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for VANGUARD using various technical indicators. When you analyze VANGUARD charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Triple Exponential Smoothing Price Forecast For the 14th of March 2026
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Vanguard Health Care on the next trading day is expected to be 83.23 with a mean absolute deviation of 0.68 , mean absolute percentage error of 0.69 , and the sum of the absolute errors of 40.94 .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 HEALTH'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 HEALTH | VANGUARD HEALTH Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Vanguard Health Care uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of VANGUARD HEALTH mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD HEALTH 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.1749 |
| MAD | Mean absolute deviation | 0.6823 |
| MAPE | Mean absolute percentage error | 0.0079 |
| SAE | Sum of the absolute errors | 40.9351 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VANGUARD HEALTH's price to converge to an average value over time is called mean reversion.
After-Hype Price Density Analysis
As far as predicting the price of VANGUARD HEALTH at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
In the context of predicting VANGUARD HEALTH's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on VANGUARD HEALTH's historical news coverage.
Current Value
The after-hype framework applied to Vanguard Health Care assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as VANGUARD HEALTH is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading VANGUARD HEALTH 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 HEALTH, 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 | 0.92 | 0.03 | 0.00 | 1 Events | 5 Events | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
83.52 | 83.52 | 0.00 |
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Hype Timeline
Vanguard Health Care is at this time traded for 83.52. The fund has historical hype elasticity of 0.03, and average elasticity to hype of competition of 0.0. VANGUARD is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 71.32%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at -0.02%. %. The volatility of related hype on VANGUARD HEALTH is about 741.94%, with the expected price after the next announcement by competition of 83.52. The fund last dividend was issued on the 27th of March 2020. Assuming a 90-day horizon the next forecasted press release will be very soon. Use Historical Fundamental Analysis of VANGUARD HEALTH to cross-verify projections for VANGUARD HEALTH. The view provides historical context for the projection set.Related Hype Analysis
Having access to credible news sources related to VANGUARD HEALTH's direct competition is more important than ever and may enhance your ability to predict VANGUARD HEALTH's future price movements. Getting to know how VANGUARD HEALTH's peers react to changing market sentiment, related social.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| XLV | Health Care Select | -1.03 | 10 per month | 0.00 | 0.02 | 1.77 | -1.30 | 3.97 | |
| VEUSX | Vanguard European Stock | 0.00 | 0 per month | 0.96 | 0.09 | 1.28 | -1.64 | 4.68 | |
| VGK | Vanguard FTSE Europe | 0.53 | 9 per month | 0.97 | 0.09 | 1.14 | -1.46 | 5.00 | |
| DGRO | iShares Core Dividend | 0.21 | 10 per month | 0.58 | 0.12 | 0.84 | -1.02 | 3.05 | |
| SMH | VanEck Semiconductor ETF | 0.22 | 12 per month | 2.10 | 0.08 | 2.96 | -3.74 | 9.17 | |
| SCHB | Schwab Broad Market | 0.24 | 7 per month | 0.00 | -0.0004 | 0.88 | -1.45 | 3.72 | |
| VOE | Vanguard Mid Cap Value | 0.51 | 5 per month | 0.71 | 0.13 | 1.24 | -1.33 | 3.67 | |
| DIA | SPDR Dow Jones | 0.24 | 12 per month | 0.00 | 0.01 | 1.22 | -1.54 | 4.11 | |
| DFAC | Dimensional Core Equity | -0.09 | 7 per month | 0.00 | 0.04 | 0.90 | -1.56 | 3.78 | |
| VBK | Vanguard Small Cap Growth | 0.41 | 6 per month | 0.00 | 0.02 | 1.86 | -1.96 | 6.36 |
Other Forecasting Options for VANGUARD HEALTH
For every potential investor in VANGUARD, whether a beginner or expert, VANGUARD HEALTH's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better.VANGUARD HEALTH Related Equities
The following equities are related to VANGUARD HEALTH within the Health space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing VANGUARD HEALTH 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 HEALTH Market Strength Events
Market strength indicators help investors to evaluate how VANGUARD HEALTH mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading VANGUARD HEALTH shares will generate the highest return on.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 83.52 | |||
| Day Typical Price | 83.52 | |||
| Price Action Indicator | -0.83 | |||
| Period Momentum Indicator | -1.66 |
VANGUARD HEALTH Risk Indicators
The analysis of VANGUARD HEALTH's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in VANGUARD HEALTH's investment and either accepting that risk or mitigating it.
| Mean Deviation | 0.7089 | |||
| Standard Deviation | 0.9171 | |||
| Variance | 0.841 |
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 HEALTH
Coverage intensity for Vanguard Health Care matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.