Utilities Fund Mutual Fund Forecast - Simple Regression

Utilities Fund Additional Predictive Modules

Most predictive techniques to examine Utilities price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Utilities using various technical indicators. When you analyze Utilities 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 Utilities Fund 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.

Utilities Fund Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Utilities Fund Class on the next trading day is expected to be 44.69 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.36, and the sum of the absolute errors of 30.66.

Utilities Fund Mutual Fund Forecast Pattern

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Utilities Fund 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 Utilities Fund mutual fund data series using in forecasting. Note that when a statistical model is used to represent Utilities Fund 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 Utilities Fund Class 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 Utilities Fund

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Utilities Fund Class. 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 44.68 45.47 46.26 Details

Intrinsic Valuation Low Real High 44.82 45.61 46.40 Details

Bollinger Band Projection (param) Low Middle High 44.27 45.15 46.03 Details

Utilities Fund After-Hype Price Prediction Density Analysis

Utilities Fund Estimiated After-Hype Price Volatility

Utilities Fund Mutual Fund Price Prediction Analysis

Utilities Fund Hype Timeline

Utilities Fund Class is at this time traded for 45.47. The entity has historical hype elasticity of -3.16, and average elasticity to hype of competition of 0.0. Utilities is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 2.03%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at -0.08%. %. The volatility of related hype on Utilities Fund is about 0.0%, with the expected price after the next announcement by competition of 45.47. The company has price-to-book ratio of 1.67. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Utilities Fund Class last dividend was issued on the 11th of December 2019. Assuming the 90 days horizon the next anticipated press release will be in a few days. Check out Historical Fundamental Analysis of Utilities Fund to cross-verify your projections.

Utilities Fund Related Hype Analysis

Other Forecasting Options for Utilities Fund

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

Utilities Fund Related Equities

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Correlation

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