Citigroup Polynomial Regression

Citigroup Inc -- USA Stock  

USD 77.47  0.83  1.06%

Investors can use this prediction interface to forecast Citigroup historic prices and determine the direction of Citigroup Inc 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 Citigroup historical fundamentals such as revenue growth or operating cash flow patterns. Although naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Citigroup Inc systematic risks associated with finding meaningful patterns of Citigroup fundamentals over time. Check also Historical Fundamental Analysis of Citigroup to cross-verify your projections.
 Time Horizon     30 Days    Login   to change
Citigroup polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Citigroup Inc as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Citigroup Inc on the next trading day is expected to be 78.222239

Citigroup Inc Prediction Pattern

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Citigroup Forecasted Value

January 20, 2018
Market Value
Downside upside
Next Trading Day Expected Value
Target Price Odds
 Above  Below  
Upside upside

Model Predictive Factors

AICAkaike Information Criteria37.2415
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3435
MAPEMean absolute percentage error0.0045
SAESum of the absolute errors6.1835
A single variable polynomial regression model attempts to put a curve through the Citigroup 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