State Street Polynomial Regression

SSKEX -- USA Fund  

USD 13.27  0.10  0.75%

Investors can use this prediction interface to forecast State Street historic prices and determine the direction of State Street Emerging Markets E 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 State Street historical fundamentals such as revenue growth or operating cash flow patterns. Also please take a look at Historical Fundamental Analysis of State Street to cross-verify your projections.
Horizon     30 Days    Login   to change
State Street polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for State Street Emerging Markets E as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of State Street Emerging Markets E on the next trading day is expected to be 13.541764

State Street Emerging Prediction Pattern

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State Street Forecasted Value

November 20, 2019
Market Value
Expected Value

Model Predictive Factors

AICAkaike Information Criteria116.6353
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1596
MAPEMean absolute percentage error0.0124
SAESum of the absolute errors9.8935
A single variable polynomial regression model attempts to put a curve through the State Street 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

State Street Risk Indicators