VANGUARD SHORT-TERM Mutual Fund Forward View - Triple Exponential Smoothing
| VFSUX Fund | USD 10.41 0.01 0.1% |
This page documents Triple Exponential Smoothing forecast output for Vanguard Short Term Investment Grade as reference data. The model is applied to historical closing prices and the resulting projection and error statistics are shown below. Key metrics including projected price and mean absolute deviation are summarized below. The reference data on this page covers both forecast levels and error statistics.
The Triple Exponential Smoothing forecasted value of Vanguard Short Term Investment Grade on the next trading day is expected to be 10.41 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.56.As with simple exponential smoothing, in triple exponential smoothing models past VANGUARD SHORT-TERM observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Vanguard Short Term Investment Grade observations. VANGUARD SHORT-TERM's Triple Exponential Smoothing reference values are drawn from available trading data and are presented for informational reference only. Triple Exponential Smoothing Price Forecast For the 27th of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Vanguard Short Term Investment Grade on the next trading day is expected to be 10.41 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0002 , and the sum of the absolute errors of 0.56 .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 SHORT-TERM'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 SHORT-TERM | VANGUARD SHORT-TERM Price Prediction | Research Analysis |
Forecasted Value
Forecasting Vanguard Short Term Investment Grade for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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 SHORT-TERM mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD SHORT-TERM 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 | None |
| MAD | Mean absolute deviation | 0.0093 |
| MAPE | Mean absolute percentage error | 9.0E-4 |
| SAE | Sum of the absolute errors | 0.56 |
Other Forecasting Options for VANGUARD SHORT-TERM
MACD analysis of VANGUARD tracks the relationship between two exponential moving averages of VANGUARD SHORT-TERM's price. Many VANGUARD SHORT-TERM's traders use Fibonacci levels to set entry and exit targets based on prior price swings. Average True Range measures the typical daily price swing for VANGUARD, accounting for gaps. The frequency and magnitude of gaps reveal how much new information is being priced into VANGUARD outside regular hours.VANGUARD SHORT-TERM Related Equities
Checking VANGUARD SHORT-TERM against related firms within the Short-Term Bond space helps investors see where the stock stands among peers. Peer review on balance sheet metrics shows how VANGUARD SHORT-TERM's capital structure stacks up against similar firms. Peer review is most useful when paired with absolute pricing and trend checks.
| Risk & Return | Correlation |
VANGUARD SHORT-TERM Market Strength Events
Market strength indicators for VANGUARD SHORT-TERM assess how the mutual fund responds to changes in investor sentiment. These signals support informed decisions about when to enter or exit Vanguard Short Term Investment Grade positions. Market strength signals help investors time Vanguard Short Term Investment Grade positions with greater precision and confidence. These tools add market timing discipline when analyzing VANGUARD SHORT-TERM mutual fund.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 10.41 | |||
| Day Typical Price | 10.41 | |||
| Price Action Indicator | 0.005 | |||
| Period Momentum Indicator | 0.01 |
VANGUARD SHORT-TERM Risk Indicators
Risk indicator analysis for VANGUARD SHORT-TERM is a critical component of accurate price forecasting. Identifying and quantifying the risks associated with VANGUARD SHORT-TERM's allows investors to make better-informed decisions. Understanding VANGUARD SHORT-TERM's risk indicators is a fundamental step in managing investment exposure responsibly. Understanding the risk embedded in VANGUARD SHORT-TERM's allows investors to decide whether to accept, reduce, or hedge exposure.
| Mean Deviation | 0.0869 | |||
| Semi Deviation | 0.0999 | |||
| Standard Deviation | 0.1423 | |||
| Variance | 0.0202 | |||
| Downside Variance | 0.0226 | |||
| Semi Variance | 0.01 | |||
| Expected Short fall | -0.16 |
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 SHORT-TERM
A coverage review of Vanguard Short Term Investment Grade shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.