VANGUARD GROWTH Mutual Fund Forward View - Double Exponential Smoothing

VIGAX Fund  USD 228.62  1.53  0.67%   
This reference page presents Double Exponential Smoothing forecast data for Vanguard Growth Index. The projected values and error metrics are presented below as reference information.
The Double Exponential Smoothing forecasted value of Vanguard Growth Index on the next trading day is expected to be 228.03 with a mean absolute deviation of 2.08 and the sum of the absolute errors of 124.71.When Vanguard Growth Index prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Vanguard Growth Index trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent VANGUARD GROWTH observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Vanguard Growth Index is sourced from the most recent available trading data and is intended solely as reference information.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for VANGUARD GROWTH works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 27th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Vanguard Growth Index on the next trading day is expected to be 228.03 with a mean absolute deviation of 2.08 , mean absolute percentage error of 6.16 , and the sum of the absolute errors of 124.71 .
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 GROWTH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

The next-day forecast for Vanguard Growth Index focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
228.62
227.03
Downside
228.03
Expected Value
229.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of VANGUARD GROWTH mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD GROWTH 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.3822
MADMean absolute deviation2.0786
MAPEMean absolute percentage error0.0086
SAESum of the absolute errors124.7133
When Vanguard Growth Index prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Vanguard Growth Index trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent VANGUARD GROWTH observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for VANGUARD GROWTH

VANGUARD GROWTH's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in VANGUARD often signals an upcoming reversal or acceleration.

VANGUARD GROWTH Related Equities

These related stocks within the Large Growth space give benchmarks for judging VANGUARD GROWTH's results, margins, and growth trend. Return on equity across these peers shows how well each firm turns capital into profit.
 Risk & Return  Correlation

VANGUARD GROWTH Market Strength Events

Market strength indicators help investors evaluate how VANGUARD GROWTH mutual fund reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Vanguard Growth Index.

VANGUARD GROWTH Risk Indicators

The analysis of VANGUARD GROWTH's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding VANGUARD GROWTH's allows investors to make informed decisions about their exposure.
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 GROWTH

Story coverage around Vanguard Growth Index often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.

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.