SIMT TAX-MANAGED Mutual Fund Forward View - Double Exponential Smoothing

SIMYX Fund  USD 13.79  0.10  0.73%   
This reference page presents Double Exponential Smoothing forecast data for Simt Tax Managed International. The projected values and error metrics are presented below as reference information.
The Double Exponential Smoothing forecasted value of Simt Tax Managed International on the next trading day is expected to be 13.75 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.59.When Simt Tax Managed International 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 Simt Tax Managed International 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 SIMT TAX-MANAGED observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Simt Tax Managed International is sourced from the most recent available trading data and is intended solely as reference information.
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 SIMT TAX-MANAGED works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 25th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Simt Tax Managed International on the next trading day is expected to be 13.75 with a mean absolute deviation of 0.08 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 4.59 .
Please note that although there have been many attempts to predict SIMT 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 SIMT TAX-MANAGED's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

Backtest SIMT TAX-MANAGED  SIMT TAX-MANAGED Price Prediction  Research Analysis  

Forecasted Value

Forecasting Simt Tax Managed International for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Market Value
13.79
13.75
Expected Value
14.51
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 SIMT TAX-MANAGED mutual fund data series using in forecasting. Note that when a statistical model is used to represent SIMT TAX-MANAGED 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 0.0077
MADMean absolute deviation0.0765
MAPEMean absolute percentage error0.0054
SAESum of the absolute errors4.5898
When Simt Tax Managed International 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 Simt Tax Managed International 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 SIMT TAX-MANAGED observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for SIMT TAX-MANAGED

SIMT TAX-MANAGED's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in SIMT often signals an upcoming reversal or acceleration.

SIMT TAX-MANAGED Related Equities

The peer firms below within the Foreign Large Value space can help frame SIMT TAX-MANAGED's pricing and running costs in context. Growth rate gaps between SIMT TAX-MANAGED and its peers often explain pricing differences in the market.
 Risk & Return  Correlation

SIMT TAX-MANAGED Market Strength Events

Market strength indicators help investors evaluate how SIMT TAX-MANAGED mutual fund reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Simt Tax Managed International.

SIMT TAX-MANAGED Risk Indicators

The analysis of SIMT TAX-MANAGED's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding SIMT TAX-MANAGED's allows investors to make informed decisions about their exposure.
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 SIMT TAX-MANAGED

The amount of media and story coverage tied to Simt Tax Managed International can signal where market attention is concentrating at the moment. A disciplined read of coverage separates durable relevance from temporary noise.

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.