VANGUARD BALANCED Mutual Fund Forward View - Double Exponential Smoothing

VBINX Fund  USD 50.27  -0.64  -1.26%   
Vanguard Balanced Index's Double Exponential Smoothing reference page summarizes the forecasted price and model accuracy metrics derived from daily trading data. This reference information is provided for analytical context.
The Double Exponential Smoothing forecasted value of Vanguard Balanced Index on the next trading day is expected to be 50.15 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.42.When Vanguard Balanced 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 Balanced 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 BALANCED observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Vanguard Balanced 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 BALANCED works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 23rd of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Vanguard Balanced Index on the next trading day is expected to be 50.15 with a mean absolute deviation of 0.21 , mean absolute percentage error of 0.07 , and the sum of the absolute errors of 12.42 .
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 BALANCED'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 Balanced Index focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 49.65 on the downside to about 50.64 on the upside.
Market Value
50.27
50.15
Expected Value
50.64
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 BALANCED mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD BALANCED 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 0.059
MADMean absolute deviation0.2105
MAPEMean absolute percentage error0.0041
SAESum of the absolute errors12.4201
When Vanguard Balanced 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 Balanced 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 BALANCED observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for VANGUARD BALANCED

The movement of VANGUARD price is the central consideration for investors deciding whether to enter or hold a position. Noise in VANGUARD Mutual Fund price charts can make it difficult to distinguish meaningful trends from random fluctuations.

VANGUARD BALANCED Related Equities

The following equities are related to VANGUARD BALANCED within the Allocation--50% to 70% Equity space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing VANGUARD BALANCED 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 BALANCED Market Strength Events

Investors use market strength indicators for VANGUARD BALANCED to evaluate how the mutual fund performs relative to broader market trends. These indicators support more precise timing of Vanguard Balanced Index positions, helping investors maximize return and minimize poorly-timed trades.

VANGUARD BALANCED Risk Indicators

A careful analysis of VANGUARD BALANCED's basic risk indicators provides context for understanding the risk environment surrounding vanguard mutual fund. This understanding is an essential input for forecasting VANGUARD BALANCED's future price and for deciding how to manage the associated investment risk.
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 BALANCED

Coverage intensity for Vanguard Balanced Index matters because narrative visibility can influence sentiment, participation, and volatility around the name. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

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