First Investors Mutual Fund Forecast - Polynomial Regression

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

First Investors Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of First Investors Opportunity on the next trading day is expected to be 40.60 with a mean absolute deviation of 0.40, mean absolute percentage error of 0.23, and the sum of the absolute errors of 24.32.

First Investors Mutual Fund Forecast Pattern

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First Investors 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 First Investors mutual fund data series using in forecasting. Note that when a statistical model is used to represent First Investors 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 First Investors 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 First Investors

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Investors Oppo. 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 39.13 39.93 40.73 Details

Intrinsic Valuation Low Real High 39.02 39.82 40.62 Details

Bollinger Band Projection (param) Low Middle High 39.74 40.03 40.33 Details

Other Forecasting Options for First Investors

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

First Investors Related Equities

Risk & Return

Correlation

First Investors Oppo Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of First Investors' 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 First Investors' current price.

First Investors Market Strength Events

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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.

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