IShares Trust Etf Forecast - Triple Exponential Smoothing

SHY Etf  MXN 1,658  13.49  0.81%   
The Triple Exponential Smoothing forecasted value of iShares Trust on the next trading day is expected to be 1,656 with a mean absolute deviation of 12.32 and the sum of the absolute errors of 726.89. IShares Etf Forecast is based on your current time horizon.
  
Triple exponential smoothing for IShares Trust - 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 IShares Trust 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 IShares Trust price movement. However, neither of these exponential smoothing models address any seasonality of iShares Trust.

IShares Trust Triple Exponential Smoothing Price Forecast For the 7th of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of iShares Trust on the next trading day is expected to be 1,656 with a mean absolute deviation of 12.32, mean absolute percentage error of 240.77, and the sum of the absolute errors of 726.89.
Please note that although there have been many attempts to predict IShares Etf prices using its time series forecasting, we generally do not recommend 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 Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IShares Trust Etf Forecast Pattern

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IShares Trust Forecasted Value

In the context of forecasting IShares Trust's Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. IShares Trust's downside and upside margins for the forecasting period are 1,655 and 1,657, respectively. We have considered IShares Trust's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
1,658
1,656
Expected Value
1,657
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 IShares Trust etf data series using in forecasting. Note that when a statistical model is used to represent IShares Trust 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 -1.8767
MADMean absolute deviation12.3202
MAPEMean absolute percentage error0.0075
SAESum of the absolute errors726.8905
As with simple exponential smoothing, in triple exponential smoothing models past IShares Trust observations are given exponentially smaller weights as the observations get older. In other words, rece