Mfs Value Mutual Fund Forecast - Polynomial Regression

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

Mfs Value Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Mfs Value Fund on the next trading day is expected to be 55.34 with a mean absolute deviation of 0.40, mean absolute percentage error of 0.25, and the sum of the absolute errors of 24.13.

Mfs Value Mutual Fund Forecast Pattern

Backtest Mfs Value

Mfs Value Price Prediction

Buy or Sell Advice

Mfs Value 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 Mfs Value mutual fund data series using in forecasting. Note that when a statistical model is used to represent Mfs Value 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 Mfs Value 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 Mfs Value

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mfs Value Fund. 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 54.88 55.53 56.18 Details

Intrinsic Valuation Low Real High 54.57 55.22 55.87 Details

Bollinger Band Projection (param) Low Middle High 55.08 55.41 55.74 Details

Other Forecasting Options for Mfs Value

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

Mfs Value Related Equities

Risk & Return

Correlation

Mfs Value Fund 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 Mfs Value'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 Mfs Value's current price.

Mfs Value Market Strength Events

Mfs Value 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.

Other Information on Investing in Mfs Mutual Fund