DFA Emerging Mutual Fund Forward View - Triple Exponential Smoothing

DFESX Fund  USD 19.36  0.32  1.68%   
The Triple Exponential Smoothing forecast shown here for DFA 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 Dfa Emerging Markets on the next trading day is expected to be 19.32 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.78.As with simple exponential smoothing, in triple exponential smoothing models past DFA 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 Dfa Emerging Markets observations. This Triple Exponential Smoothing reference page for DFA Emerging presents model-generated projections from historical price data for informational purposes.
Triple exponential smoothing for DFA 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 DFA 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 DFA Emerging price movement. However, neither of these exponential smoothing models address any seasonality of Dfa Emerging Markets.

Triple Exponential Smoothing Price Forecast For the 27th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Dfa Emerging Markets on the next trading day is expected to be 19.32 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.06 , and the sum of the absolute errors of 10.78 .
Please note that although there have been many attempts to predict DFA 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 DFA 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

For the next trading day, Macroaxis evaluates DFA Emerging's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 18.13 on the downside to about 20.51 on the upside.
Market Value
19.36
19.32
Expected Value
20.51
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 DFA Emerging mutual fund data series using in forecasting. Note that when a statistical model is used to represent DFA 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 -0.057
MADMean absolute deviation0.1797
MAPEMean absolute percentage error0.0091
SAESum of the absolute errors10.78
As with simple exponential smoothing, in triple exponential smoothing models past DFA 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 Dfa Emerging Markets observations.

Other Forecasting Options for DFA Emerging

The distribution of DFA 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 DFA Emerging's chart that simple price charts miss.

DFA Emerging Related Equities

Checking DFA Emerging against related firms within the Diversified Emerging Mkts space helps investors see where the stock stands among peers. Checking DFA Emerging against peers on P/E, margins, and return on equity helps put its position in context. Persistent outperformance or underperformance by specific peers relative to DFA Emerging often signals structural advantages or weaknesses.
 Risk & Return  Correlation

DFA Emerging Market Strength Events

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

DFA Emerging Risk Indicators

A thorough review of DFA Emerging's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in DFA 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 DFA Emerging

The amount of media and story coverage tied to Dfa Emerging Markets can signal where market attention is concentrating at the moment. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

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.