VANGUARD EMERGING Mutual Fund Forward View

VMMSX Fund  USD 28.70  -0.80  -2.71%   
The Naive Prediction forecast shown here for VANGUARD EMERGING is reference data produced from its historical price series. The projected value and error measures below serve as reference information.
The Naive Prediction forecasted value of Vanguard Emerging Markets on the next trading day is expected to be 29.02 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.82.This model is not at all useful as a medium-long range forecasting tool of Vanguard Emerging Markets. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict VANGUARD EMERGING. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. This Naive Prediction reference page for VANGUARD EMERGING presents model-generated projections from historical price data for informational purposes.
A naive forecasting model for VANGUARD EMERGING is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Vanguard Emerging Markets value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Naive Prediction Price Forecast For the 24th of March

Given 90 days horizon, the Naive Prediction forecasted value of Vanguard Emerging Markets on the next trading day is expected to be 29.02 with a mean absolute deviation of 0.34 , mean absolute percentage error of 0.19 , and the sum of the absolute errors of 20.82 .
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 EMERGING'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 EMERGING  VANGUARD EMERGING Price Prediction  Research Analysis  

Forecasted Value

The next-day forecast for Vanguard Emerging Markets 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
28.70
29.02
Expected Value
30.26
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of VANGUARD EMERGING mutual fund data series using in forecasting. Note that when a statistical model is used to represent VANGUARD EMERGING 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 Criteria116.4231
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3414
MAPEMean absolute percentage error0.0112
SAESum of the absolute errors20.8239
This model is not at all useful as a medium-long range forecasting tool of Vanguard Emerging Markets. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict VANGUARD EMERGING. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Other Forecasting Options for VANGUARD EMERGING

The distribution of VANGUARD EMERGING's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in VANGUARD EMERGING's chart that simple price charts miss.

VANGUARD EMERGING Related Equities

The stocks listed below are peers of VANGUARD EMERGING within the Diversified Emerging Mkts space and offer context for ranking and strength. Market cap and total value checks frame VANGUARD EMERGING's size within the competitive field.
 Risk & Return  Correlation

VANGUARD EMERGING Market Strength Events

Market strength indicators for VANGUARD EMERGING give insight into the mutual fund's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Vanguard Emerging Markets.

VANGUARD EMERGING Risk Indicators

A thorough review of VANGUARD EMERGING's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in VANGUARD EMERGING's allows investors to make better decisions about entry, sizing, and hedging.
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 EMERGING

Story coverage around Vanguard Emerging Markets often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

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.