CAC ALL 4 Period Moving Average

PAX -- France Index  

 6,796  3.77  0.06%

Investors can use this prediction interface to forecast CAC ALL historic prices and determine the direction of CAC ALL SHARES 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 CAC ALL historical fundamentals such as revenue growth or operating cash flow patterns. Additionally take a look at fundamental analysis of CAC ALL to check your projections.
Horizon     30 Days    Login   to change
A four-period moving average forecast model for CAC ALL SHARES is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.
Given 30 days horizon, the value of CAC ALL SHARES on the next trading day is expected to be 6766.5875

CAC ALL SHARES Prediction Pattern

CAC ALL Forecasted Value

October 22, 2019
Market Value
Expected Value

Model Predictive Factors

AICAkaike Information Criteria81.4467
BiasArithmetic mean of the errors 1.0255
MADMean absolute deviation71.4788
MAPEMean absolute percentage error0.0107
SAESum of the absolute errors2573.2375
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of CAC ALL. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for CAC ALL SHARES and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Volatility Measures

CAC ALL Risk Indicators