Guggenheim Rbp Mutual Fund Forecast - Polynomial Regression

Guggenheim Rbp polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Guggenheim Rbp Large Cap as well as the accuracy indicators are determined from the period prices.

Guggenheim Rbp Polynomial Regression Price Forecast For the 25th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Guggenheim Rbp Large Cap on the next trading day is expected to be 12.07 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.33.

Guggenheim Rbp Mutual Fund Forecast Pattern

Backtest Guggenheim Rbp

Guggenheim Rbp Price Prediction

Buy or Sell Advice

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 Guggenheim Rbp mutual fund data series using in forecasting. Note that when a statistical model is used to represent Guggenheim Rbp 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. A single variable polynomial regression model attempts to put a curve through the Guggenheim Rbp 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 Guggenheim Rbp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Guggenheim Rbp Large. 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 12.16 12.16 12.16 Details

Intrinsic Valuation Low Real High 11.23 11.23 13.38 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Guggenheim Rbp. Your research has to be compared to or analyzed against Guggenheim Rbp's peers to derive any actionable benefits. When done correctly, Guggenheim Rbp'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 Guggenheim Rbp Large.

Guggenheim Rbp Related Equities

Risk & Return

Correlation

Guggenheim Rbp Market Strength Events

Guggenheim Rbp Risk Indicators

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Consideration for investing in Guggenheim Mutual Fund