SIT TAX-FREE Mutual Fund Forward View - Triple Exponential Smoothing

SNTIX Fund  USD 8.76  0.01  0.11%   
The Triple Exponential Smoothing forecast shown here for SIT TAX-FREE is reference data produced from the equity's historical price series. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Triple Exponential Smoothing forecasted value of Sit Tax Free Income on the next trading day is expected to be 8.76 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.57.As with simple exponential smoothing, in triple exponential smoothing models past SIT TAX-FREE observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Sit Tax Free Income observations. This Triple Exponential Smoothing reference page for SIT TAX-FREE presents model-generated projections from historical price data for informational purposes.
Triple exponential smoothing for SIT TAX-FREE - 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 SIT TAX-FREE 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 SIT TAX-FREE price movement. However, neither of these exponential smoothing models address any seasonality of Sit Tax Free.

Triple Exponential Smoothing Price Forecast For the 19th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sit Tax Free Income on the next trading day is expected to be 8.76 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0002 , and the sum of the absolute errors of 0.57 .
Please note that although there have been many attempts to predict SIT 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 SIT TAX-FREE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates SIT TAX-FREE's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 8.59 on the downside to about 8.93 on the upside.
Market Value
8.76
8.76
Expected Value
8.93
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 SIT TAX-FREE mutual fund data series using in forecasting. Note that when a statistical model is used to represent SIT TAX-FREE 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 -0.0015
MADMean absolute deviation0.0095
MAPEMean absolute percentage error0.0011
SAESum of the absolute errors0.57
As with simple exponential smoothing, in triple exponential smoothing models past SIT TAX-FREE observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Sit Tax Free Income observations.

Other Forecasting Options for SIT TAX-FREE

Regardless of investment experience, understanding SIT TAX-FREE's price movement is essential for anyone considering a position in SIT. Price charts for SIT Mutual Fund are often filled with noise that can lead to poor investment choices if not properly filtered.

SIT TAX-FREE Related Equities

The following equities are related to SIT TAX-FREE within the Muni National Interm space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing SIT TAX-FREE 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

SIT TAX-FREE Market Strength Events

Market strength indicators for SIT TAX-FREE give investors insight into the mutual fund's responsiveness to broader market forces. Tracking these indicators helps investors make informed timing decisions and identify periods where trading SIT TAX-FREE is likely to be most rewarding.

SIT TAX-FREE Risk Indicators

A thorough review of SIT TAX-FREE's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis helps investors determine the appropriate level of risk to accept when holding SIT TAX-FREE's.
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 SIT TAX-FREE

Story coverage around Sit Tax Free Income often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. The practical risk is that faster visibility can increase both interest and skepticism at the same time.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.