IShares Emerging Etf Forward View - Double Exponential Smoothing

IGEA Etf  CHF 66.70  -0.24  -0.36%   
This page provides Double Exponential Smoothing reference data for iShares Emerging Asia, calculated from historical daily prices. The model output shown here is derived from IShares Emerging's historical price series and is provided for informational purposes. Projected values and accuracy measures are included for reference.
The Double Exponential Smoothing forecasted value of iShares Emerging Asia on the next trading day is expected to be 66.58 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.32.When iShares Emerging Asia 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 iShares Emerging Asia 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 IShares Emerging observations are given relatively more weight in forecasting than the older observations. The Double Exponential Smoothing reference information for IShares Emerging is based on available price data and is intended for informational purposes.
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 IShares Emerging 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 iShares Emerging Asia on the next trading day is expected to be 66.58 with a mean absolute deviation of 0.24 , mean absolute percentage error of 0.10 , and the sum of the absolute errors of 14.32 .
Please note that although there have been many attempts to predict IShares Etf 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 IShares Emerging's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Etf Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates IShares Emerging's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 66.11 and upside around 67.05 for the forecasting period.
Market Value
66.70
66.58
Expected Value
67.05
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 IShares Emerging etf data series using in forecasting. Note that when a statistical model is used to represent IShares Emerging etf, 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 -0.0719
MADMean absolute deviation0.2427
MAPEMean absolute percentage error0.0036
SAESum of the absolute errors14.32
When iShares Emerging Asia 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 iShares Emerging Asia 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 IShares Emerging observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for IShares Emerging

The autocorrelation structure of IShares Emerging's daily returns reveals whether IShares exhibits momentum, mean-reversion, or random-walk behavior. Separating these elements helps distinguish persistent directional moves from temporary noise in IShares Etf price data. Stochastic oscillator analysis compares IShares Emerging's closing price to its range over a given period.

IShares Emerging Related Equities

The stocks listed below are peers of IShares Emerging within the Asia Bond - Local Currency space and offer context for ranking and strength. Checking IShares Emerging against peers on P/E, margins, and return on equity helps put its position in context.
 Risk & Return  Correlation

IShares Emerging Market Strength Events

Market strength indicators applied to IShares Emerging etf help assess momentum and resilience across environments. Investors can use these indicators to make informed decisions about market timing when trading IShares Emerging. For iShares Emerging Asia, market strength indicators complement fundamental analysis with timing context.

IShares Emerging Risk Indicators

Risk indicator analysis for IShares Emerging is essential for accurately projecting its future price trajectory. The process involves identifying the amount of risk involved in IShares Emerging's investment and either accepting or mitigating it. Understanding the risk profile of IShares Emerging's allows investors to make more informed decisions about position sizing.
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 IShares Emerging

A coverage review of iShares Emerging Asia shows when the security is attracting above-average attention from contributors and market observers. 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.

More Resources for IShares Etf Analysis

Other Information on Investing in IShares Etf

Financial ratios reflect how major financial figures connect within IShares Emerging. The layout supports consistent interpretation across periods.