MFS Blended Polynomial Regression

BRLSX -- USA Fund  

USD 12.25  0.01  0.08%

Investors can use this prediction interface to forecast MFS Blended historic prices and determine the direction of MFS Blended Research Global Equ future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of MFS Blended historical fundamentals such as revenue growth or operating cash flow patterns. Check also Historical Fundamental Analysis of MFS Blended to cross-verify your projections.
Horizon     30 Days    Login   to change
MFS Blended polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MFS Blended Research Global Equ as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of MFS Blended Research Global Equ on the next trading day is expected to be 12.518701

MFS Blended Research Prediction Pattern

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MFS Blended Forecasted Value

November 20, 2019
Market Value
Expected Value

Model Predictive Factors

AICAkaike Information Criteria114.3662
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1278
MAPEMean absolute percentage error0.0109
SAESum of the absolute errors7.7949
A single variable polynomial regression model attempts to put a curve through the MFS Blended 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 + ... + am*Xm

Volatility Measures

MFS Blended Risk Indicators