VANGUARD EMERGING Mutual Fund Forward View - Triple Exponential Smoothing

VMMSX Fund  USD 28.70  -0.80  -2.71%   
The Triple Exponential Smoothing 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 Triple Exponential Smoothing forecasted value of Vanguard Emerging Markets on the next trading day is expected to be 28.72 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 16.81.As with simple exponential smoothing, in triple exponential smoothing models past VANGUARD EMERGING 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 Emerging Markets observations. This Triple Exponential Smoothing reference page for VANGUARD EMERGING presents model-generated projections from historical price data for informational purposes.
Triple exponential smoothing for VANGUARD EMERGING - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When VANGUARD EMERGING 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 trend in VANGUARD EMERGING price movement. However, neither of these exponential smoothing models address any seasonality of Vanguard Emerging Markets.

Triple Exponential Smoothing Price Forecast For the 24th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Vanguard Emerging Markets on the next trading day is expected to be 28.72 with a mean absolute deviation of 0.28 , mean absolute percentage error of 0.15 , and the sum of the absolute errors of 16.81 .
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

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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
28.72
Expected Value
29.96
Upside

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 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0063
MADMean absolute deviation0.2849
MAPEMean absolute percentage error0.0094
SAESum of the absolute errors16.81
As with simple exponential smoothing, in triple exponential smoothing models past VANGUARD EMERGING 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 Emerging Markets observations.

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.