Franklin Equity Mutual Fund Forecast - Polynomial Regression

FREIX Fund  USD 33.66  0.46  1.35%   
The Polynomial Regression forecasted value of Franklin Equity Income on the next trading day is expected to be 32.68 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 28.05. Franklin Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Franklin Equity's share price is below 20 . This usually indicates that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Franklin Equity's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Franklin Equity Income, which may create opportunities for some arbitrage if properly timed.
Using Franklin Equity hype-based prediction, you can estimate the value of Franklin Equity Income from the perspective of Franklin Equity response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Franklin Equity Income on the next trading day is expected to be 32.68 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 28.05.

Franklin Equity after-hype prediction price

    
  USD 33.8  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Franklin Equity to cross-verify your projections.

Franklin Equity Additional Predictive Modules

Most predictive techniques to examine Franklin price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Franklin using various technical indicators. When you analyze Franklin 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.
Franklin Equity polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Franklin Equity Income as well as the accuracy indicators are determined from the period prices.

Franklin Equity Polynomial Regression Price Forecast For the 9th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Franklin Equity Income on the next trading day is expected to be 32.68 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.31, and the sum of the absolute errors of 28.05.
Please note that although there have been many attempts to predict Franklin Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Franklin Equity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Franklin Equity Mutual Fund Forecast Pattern

Backtest Franklin EquityFranklin Equity Price PredictionBuy or Sell Advice 

Franklin Equity Forecasted Value

In the context of forecasting Franklin Equity's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Franklin Equity's downside and upside margins for the forecasting period are 31.59 and 33.77, respectively. We have considered Franklin Equity's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
33.66
32.68
Expected Value
33.77
Upside

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 Franklin Equity mutual fund data series using in forecasting. Note that when a statistical model is used to represent Franklin Equity 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.
AICAkaike Information Criteria118.7852
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4524
MAPEMean absolute percentage error0.013
SAESum of the absolute errors28.0504
A single variable polynomial regression model attempts to put a curve through the Franklin Equity 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 + ... + am*Xm

Predictive Modules for Franklin Equity

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Franklin Equity Income. 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
LowEstimatedHigh
32.7133.8034.89
Details
Intrinsic
Valuation
LowRealHigh
32.8833.9735.06
Details

Other Forecasting Options for Franklin Equity

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

Franklin Equity Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Franklin Equity mutual fund to make a market-neutral strategy. Peer analysis of Franklin Equity could also be used in its relative valuation, which is a method of valuing Franklin Equity by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Franklin Equity Income 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 Franklin Equity's 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 Franklin Equity's current price.

Franklin Equity Market Strength Events

Market strength indicators help investors to evaluate how Franklin Equity mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Franklin Equity shares will generate the highest return on investment. By undertsting and applying Franklin Equity mutual fund market strength indicators, traders can identify Franklin Equity Income entry and exit signals to maximize returns.

Franklin Equity Risk Indicators

The analysis of Franklin Equity's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Franklin Equity's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting franklin mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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 Information on Investing in Franklin Mutual Fund

Franklin Equity financial ratios help investors to determine whether Franklin Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Franklin with respect to the benefits of owning Franklin Equity security.
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