US SMALL Mutual Fund Forward View - Double Exponential Smoothing

DFSVX Fund  USD 53.00  -0.69  -1.29%   
This reference view applies Double Exponential Smoothing to Us Small Cap's historical closing prices. Us Small Cap's Double Exponential Smoothing reference page summarizes the forecasted price and model accuracy metrics from daily trading data.
The Double Exponential Smoothing forecasted value of Us Small Cap on the next trading day is expected to be 52.78 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 27.63.When Us Small Cap 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 Us Small Cap 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 US SMALL observations are given relatively more weight in forecasting than the older observations. All forecast values on this page for Us Small Cap are Double Exponential Smoothing reference data derived from historical price series.
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 US SMALL 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 Us Small Cap on the next trading day is expected to be 52.78 with a mean absolute deviation of 0.47 , mean absolute percentage error of 0.36 , and the sum of the absolute errors of 27.63 .
Please note that although there have been many attempts to predict DFSVX 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 US SMALL'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 Us Small Cap focuses on identifying predictive downside and upside bands that can frame a realistic trading range. At the moment, the model places downside around 51.68 and upside around 53.87 for the forecasting period.
Market Value
53.00
52.78
Expected Value
53.87
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 US SMALL mutual fund data series using in forecasting. Note that when a statistical model is used to represent US SMALL 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 0.0655
MADMean absolute deviation0.4683
MAPEMean absolute percentage error0.0085
SAESum of the absolute errors27.6281
When Us Small Cap 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 Us Small Cap 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 US SMALL observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for US SMALL

Volume-weighted price analysis for DFSVX Mutual Fund gives heavier weight to price levels where trading activity was highest. Crossovers in the MACD line and signal line can identify shifts in DFSVX momentum before they appear in raw price.

US SMALL Related Equities

US SMALL's market space within the Small Value space is best grasped by looking at the firms listed below. Revenue and margin checks across this group help investors set expectations for US SMALL's results.
 Risk & Return  Correlation

US SMALL Market Strength Events

Evaluating the market strength of US SMALL mutual fund allows investors to gauge shifts in market momentum. By monitoring these indicators, investors can identify the most opportune moments to trade Us Small Cap.

US SMALL Risk Indicators

Understanding US SMALL's risk indicators is essential for any investor seeking to forecast its future price accurately. By identifying how much risk is embedded in US SMALL's investment, investors can decide how to position 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 US SMALL

Story coverage around Us Small Cap often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. 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.