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.
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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.
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.AIC | Akaike Information Criteria | Huge |
Bias | Arithmetic mean of the errors | -1.8767 |
MAD | Mean absolute deviation | 12.3202 |
MAPE | Mean absolute percentage error | 0.0075 |
SAE | Sum of the absolute errors | 726.8905 |