Sit Balanced Mutual Fund Forecast - Polynomial Regression

Sit Balanced polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sit Balanced Fund as well as the accuracy indicators are determined from the period prices.

Sit Balanced Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Sit Balanced Fund on the next trading day is expected to be 36.42 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.07, and the sum of the absolute errors of 12.17.

Sit Balanced Mutual Fund Forecast Pattern

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Sit Balanced Price Prediction

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Sit Balanced Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Sit Balanced mutual fund data series using in forecasting. Note that when a statistical model is used to represent Sit Balanced 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. A single variable polynomial regression model attempts to put a curve through the Sit Balanced historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a₀ + a₁*X + a₂*X² + a₃*X³ + ... + a_m*X^m

Predictive Modules for Sit Balanced

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sit Balanced. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Hype Prediction Low Estimated High 35.83 36.38 36.93 Details

Intrinsic Valuation Low Real High 35.55 36.10 36.65 Details

Bollinger Band Projection (param) Low Middle High 35.80 36.05 36.31 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sit Balanced. Your research has to be compared to or analyzed against Sit Balanced's peers to derive any actionable benefits. When done correctly, Sit Balanced's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Sit Balanced.

Other Forecasting Options for Sit Balanced

For every potential investor in Sit, whether a beginner or expert, Sit Balanced's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Sit Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Sit. Basic forecasting techniques help filter out the noise by identifying Sit Balanced's price trends.

Sit Balanced Related Equities

Risk & Return

Correlation

Sit Balanced Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Sit Balanced's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Sit Balanced's current price.

Sit Balanced Market Strength Events

Sit Balanced Risk Indicators

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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