MFS Emerging Polynomial Regression

EMLJX -- USA Fund  

USD 6.85  0.05  0.72%

Investors can use this prediction interface to forecast MFS Emerging historic prices and determine the direction of MFS Emerging Markets Debt Local 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 Emerging historical fundamentals such as revenue growth or operating cash flow patterns. Additionally see Historical Fundamental Analysis of MFS Emerging to cross-verify your projections.
Horizon     30 Days    Login   to change
MFS Emerging polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for MFS Emerging Markets Debt Local as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of MFS Emerging Markets Debt Local on the next trading day is expected to be 6.892638

MFS Emerging Markets Prediction Pattern

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MFS Emerging Forecasted Value

November 17, 2019
Market Value
Expected Value

Model Predictive Factors

AICAkaike Information Criteria111.9995
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0401
MAPEMean absolute percentage error0.0058
SAESum of the absolute errors2.4471
A single variable polynomial regression model attempts to put a curve through the MFS Emerging 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 Emerging Risk Indicators