Capital Group Mutual Fund Forward View - Double Exponential Smoothing

CUSEX Fund  USD 35.26  -0.61  -1.70%   
Capital Group's Double Exponential Smoothing reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Double Exponential Smoothing forecasted value of Capital Group Equity on the next trading day is expected to be 35.14 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.10.When Capital Group Equity 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 Capital Group Equity 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 Capital Group observations are given relatively more weight in forecasting than the older observations. Capital Group's Double Exponential Smoothing reference data is provided for informational and analytical purposes and does not constitute a trading recommendation.
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 Capital Group works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 24th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Capital Group Equity on the next trading day is expected to be 35.14 with a mean absolute deviation of 0.24 , mean absolute percentage error of 0.09 , and the sum of the absolute errors of 14.10 .
Please note that although there have been many attempts to predict Capital 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 Capital Group'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 Capital Group's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
35.26
35.14
Expected Value
35.93
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 Capital Group mutual fund data series using in forecasting. Note that when a statistical model is used to represent Capital Group 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 0.0627
MADMean absolute deviation0.239
MAPEMean absolute percentage error0.0065
SAESum of the absolute errors14.1017
When Capital Group Equity 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 Capital Group Equity 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 Capital Group observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Capital Group

Analyzing Capital Group's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in Capital Group's chart can signal overbought or oversold conditions.

Capital Group Related Equities

These firms work in a similar space as Capital Group within the Large Blend space and serve as useful points for comparison. Revenue and margin checks across this group help investors set expectations for Capital Group's results.
 Risk & Return  Correlation

Capital Group Market Strength Events

Market strength indicators for Capital Group mutual fund provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade Capital Group.

Capital Group Risk Indicators

Assessing Capital Group's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting Capital Group's future price accurately requires understanding and quantifying the risks present in the investment.
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 Capital Group

The amount of media and story coverage tied to Capital Group Equity can signal where market attention is concentrating at the moment. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

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.