Abrdn Emerging Fund Forward View - Double Exponential Smoothing

AEF Fund  USD 7.70  -0.10  -1.28%   
This page provides Double Exponential Smoothing reference data for Abrdn Emerging Markets, calculated from historical daily prices. The forecast output and associated deviation metrics are shown for informational use.
The Double Exponential Smoothing forecasted value of Abrdn Emerging Markets on the next trading day is expected to be 7.71 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.07.When Abrdn Emerging Markets 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 Abrdn Emerging Markets 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 Abrdn Emerging observations are given relatively more weight in forecasting than the older observations. Abrdn Emerging'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 Abrdn Emerging works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 20th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Abrdn Emerging Markets on the next trading day is expected to be 7.71 with a mean absolute deviation of 0.10 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 6.07 .
Please note that although there have been many attempts to predict Abrdn 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 Abrdn Emerging's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fund Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates Abrdn Emerging's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 5.94 and upside near 9.48.
Market Value
7.70
7.71
Expected Value
9.48
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 Abrdn Emerging fund data series using in forecasting. Note that when a statistical model is used to represent Abrdn Emerging 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 -0.0065
MADMean absolute deviation0.1012
MAPEMean absolute percentage error0.0129
SAESum of the absolute errors6.07
When Abrdn Emerging Markets 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 Abrdn Emerging Markets 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 Abrdn Emerging observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Abrdn Emerging

The price movement of Abrdn is a central concern for all potential investors, regardless of their level of expertise. Abrdn Fund price charts can be difficult to interpret due to the noise present in the data.

Abrdn Emerging Related Equities

The following equities are related to Abrdn Emerging within the Financials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Abrdn Emerging against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

Abrdn Emerging Market Strength Events

Market strength indicators applied to Abrdn Emerging fund help investors assess the relative momentum and resilience of the security in different market environments. By using these indicators, traders can make more informed decisions about when to buy or sell Abrdn Emerging Markets.

Abrdn Emerging Risk Indicators

Risk indicator analysis for Abrdn Emerging is essential for accurately projecting its future price trajectory. By identifying the level of risk embedded in Abrdn Emerging's investment, investors can make informed decisions about position sizing and risk mitigation.
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 Abrdn Emerging

The amount of media and story coverage tied to Abrdn 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.