Prudential Financial Mutual Fund Forecast - Simple Regression

Prudential Financial Additional Predictive Modules

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

Prudential Financial Simple Regression Price Forecast For the 23rd of January

Given 90 days horizon, the Simple Regression forecasted value of Prudential Financial Services on the next trading day is expected to be 25.30 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.56, and the sum of the absolute errors of 41.15.

Prudential Financial Mutual Fund Forecast Pattern

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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 Prudential Financial mutual fund data series using in forecasting. Note that when a statistical model is used to represent Prudential Financial 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 Prudential Financial Services 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 Prudential Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Prudential Financial. 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 23.04 24.64 26.24 Details

Intrinsic Valuation Low Real High 22.18 26.38 27.98 Details

Bollinger Band Projection (param) Low Middle High 23.17 24.60 26.04 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Prudential Financial. Your research has to be compared to or analyzed against Prudential Financial's peers to derive any actionable benefits. When done correctly, Prudential Financial's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Prudential Financial.

Prudential Financial After-Hype Price Prediction Density Analysis

Prudential Financial Estimiated After-Hype Price Volatility

Prudential Financial Mutual Fund Price Prediction Analysis

Prudential Financial Hype Timeline

Prudential Financial is at this time traded for 24.64. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.15. Prudential 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 insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.25%. %. The volatility of related hype on Prudential Financial is about 260.47%, with the expected price after the next announcement by competition of 24.49. The company has price-to-book ratio of 0.92. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Prudential Financial last dividend was issued on the 20th of December 2019. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Prudential Financial to cross-verify your projections. For more information on how to buy Prudential Mutual Fund please use our How to Invest in Prudential Financial guide.

Prudential Financial Related Hype Analysis

Other Forecasting Options for Prudential Financial

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

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