Groupama Entreprises Fund Forecast - Polynomial Regression

Groupama Entreprises polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Groupama Entreprises N as well as the accuracy indicators are determined from the period prices.

Groupama Entreprises Polynomial Regression Price Forecast For the 29th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Groupama Entreprises N on the next trading day is expected to be 592.91 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.58.

Groupama Entreprises Fund Forecast Pattern

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Groupama Entreprises Price Prediction

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Groupama Entreprises Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Groupama Entreprises fund data series using in forecasting. Note that when a statistical model is used to represent Groupama Entreprises fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. A single variable polynomial regression model attempts to put a curve through the Groupama Entreprises 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 + ... + a_m*X^m

Predictive Modules for Groupama Entreprises

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Groupama Entreprises. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Hype Prediction Low Estimated High 592.73 592.74 592.75 Details

Intrinsic Valuation Low Real High 592.20 592.21 652.01 Details

Bollinger Band Projection (param) Low Middle High 591.84 592.41 592.98 Details

Other Forecasting Options for Groupama Entreprises

For every potential investor in Groupama, whether a beginner or expert, Groupama Entreprises' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Groupama Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Groupama. Basic forecasting techniques help filter out the noise by identifying Groupama Entreprises' price trends.

Groupama Entreprises Related Equities

Risk & Return

Correlation

Groupama Entreprises Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Groupama Entreprises' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Groupama Entreprises' current price.

Groupama Entreprises Market Strength Events

Groupama Entreprises Risk Indicators

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