Amg Managers Mutual Fund Forecast - Simple Regression

Amg Managers Additional Predictive Modules

Most predictive techniques to examine Amg price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Amg using various technical indicators. When you analyze Amg charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. Simple Regression model is a single variable regression model that attempts to put a straight line through Amg Managers price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Amg Managers Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Amg Managers Brandywine on the next trading day is expected to be 47.31 with a mean absolute deviation of 0.39, mean absolute percentage error of 0.26, and the sum of the absolute errors of 24.42.

Amg Managers Mutual Fund Forecast Pattern

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Amg Managers Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Amg Managers mutual fund data series using in forecasting. Note that when a statistical model is used to represent Amg Managers mutual 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. In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Amg Managers Brandywine historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Amg Managers

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Amg Managers Brandywine. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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 0.00 0.00 0.77 Details

Intrinsic Valuation Low Real High 0.29 5.73 6.50 Details

Bollinger Band Projection (param) Low Middle High 45.58 46.86 48.13 Details

Amg Managers After-Hype Price Prediction Density Analysis

Amg Managers Estimiated After-Hype Price Volatility

Amg Managers Mutual Fund Price Prediction Analysis

Amg Managers Hype Timeline

Amg Managers Brandywine is currently traded for 47.30. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.01. Amg is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.06%. %. The volatility of related hype on Amg Managers is about 524.14%, with the expected price after the next announcement by competition of 47.29. The company last dividend was issued on the 16th of December 2019. Assuming the 90 days horizon the next forecasted press release will be in about 4 days. Check out Historical Fundamental Analysis of Amg Managers to cross-verify your projections.

Amg Managers Related Hype Analysis

Other Forecasting Options for Amg Managers

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

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