# Citigroup Polynomial Regression

C -- USA Stock

Investors can use this prediction interface to forecast Citigroup historic prices and determine the direction of Citigroup 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 systematic risks associated with finding meaningful patterns of Citigroup fundamentals over time. Check also Historical Fundamental Analysis of Citigroup to cross-verify your projections.
 Symbol Refresh
 Horizon 30 Days     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 as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Citigroup on the next trading day is expected to be 68.787051

## Citigroup Forecasted Value

October 22, 2019
72.06
Market Value
68.79
Expected Value
Target Odds
 Above Odds Below Odds
74.41
Upside

## Model Predictive Factors

 AIC Akaike Information Criteria 119.3537 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 1.5019 MAPE Mean absolute percentage error 0.0223 SAE Sum of the absolute errors 91.6182
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

## Citigroup Technical Indicators

### Citigroup Technical and Predictive Analytics

 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

## Volatility Measures

### Citigroup Risk Indicators

 Mean Deviation 1.43 Semi Deviation 1.96 Standard Deviation 1.86 Variance 3.46 Downside Variance 4.02 Semi Variance 3.84 Expected Short fall (1.44)
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