Sit Small Mutual Fund Forward View - Triple Exponential Smoothing
| SSCDX Fund | USD 20.12 0.15 0.75% |
Sit Small Cap's Triple Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for Sit Small. This page is updated as new daily closing prices become available for Sit Small.
The Triple Exponential Smoothing forecasted value of Sit Small Cap on the next trading day is expected to be 20.12 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.59.As with simple exponential smoothing, in triple exponential smoothing models past Sit Small 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 Small Cap observations. All Triple Exponential Smoothing forecast figures shown for Sit Small Cap are reference data reflecting model output based on available historical prices. Triple Exponential Smoothing Price Forecast For the 27th of March
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sit Small Cap on the next trading day is expected to be 20.12 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.05 , and the sum of the absolute errors of 10.59 .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 Small's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest Sit Small | Sit Small Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Sit Small Cap focuses on identifying predictive downside and upside bands that can frame a realistic trading range. The projected forecast band currently runs from roughly 19.02 on the downside to about 21.22 on the 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 Small mutual fund data series using in forecasting. Note that when a statistical model is used to represent Sit Small 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -0.0212 |
| MAD | Mean absolute deviation | 0.1765 |
| MAPE | Mean absolute percentage error | 0.0087 |
| SAE | Sum of the absolute errors | 10.5879 |
Other Forecasting Options for Sit Small
Bollinger Bands applied to Sit Mutual Fund price data measure how far Sit has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Sit Small's price data. On-balance volume for Sit Mutual Fund creates a running indicator of buying versus selling pressure in Sit. Price departures from the channel boundary often mean-revert, offering tactical signals for Sit Small's.Sit Small Related Equities
Investors studying Sit Small often look at related stocks within the Small Blend space to gauge pricing and results. Checking cash flow across this peer set helps gauge Sit Small's relative financial strength. How Sit Small ranks within this group can shift over time as the competitive picture changes.
| Risk & Return | Correlation |
Sit Small Market Strength Events
For investors tracking Sit Small Cap, market strength indicators offer quantitative evaluation of mutual fund behavior. These indicators add context to timing decisions around Sit Small Cap positions. These indicators capture shifts in momentum that may precede significant price moves in Sit Small. These metrics provide actionable context for both entry and risk management decisions around Sit Small Cap.
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 20.12 | |||
| Day Typical Price | 20.12 | |||
| Price Action Indicator | 0.075 | |||
| Period Momentum Indicator | 0.15 | |||
| Relative Strength Index | 39.03 |
Sit Small Risk Indicators
Analyzing Sit Small's basic risk indicators provides investors with a structured view of the risk-return trade-off for sit mutual fund. By identifying the level of risk embedded in Sit Small's investment, investors can make informed decisions about position sizing. Analyzing Sit Small's risk indicators gives investors important context for price forecasting. Understanding the risk in Sit Small's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 0.8192 | |||
| Semi Deviation | 0.9718 | |||
| Standard Deviation | 1.07 | |||
| Variance | 1.14 | |||
| Downside Variance | 1.25 | |||
| Semi Variance | 0.9444 | |||
| Expected Short fall | -0.87 |
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 Small
Story coverage around Sit Small Cap often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
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.