Franklin Natural Mutual Fund Forecast - Polynomial Regression

FNCRX Fund  USD 31.13  0.10  0.32%   
The Polynomial Regression forecasted value of Franklin Natural Resources on the next trading day is expected to be 30.95 with a mean absolute deviation of 0.40 and the sum of the absolute errors of 24.40. Franklin Mutual Fund Forecast is based on your current time horizon.
  
Franklin Natural polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Franklin Natural Resources as well as the accuracy indicators are determined from the period prices.

Franklin Natural Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Franklin Natural Resources on the next trading day is expected to be 30.95 with a mean absolute deviation of 0.40, mean absolute percentage error of 0.26, and the sum of the absolute errors of 24.40.
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 Natural's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Franklin Natural Mutual Fund Forecast Pattern

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Franklin Natural Forecasted Value

In the context of forecasting Franklin Natural'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 Natural's downside and upside margins for the forecasting period are 29.95 and 31.94, respectively. We have considered Franklin Natural'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
31.13
30.95
Expected Value
31.94
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 Natural mutual fund data series using in forecasting. Note that when a statistical model is used to represent Franklin Natural 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 Criteria116.7802
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4
MAPEMean absolute percentage error0.0135
SAESum of the absolute errors24.403
A single variable polynomial regression model attempts to put a curve through the Franklin Natural 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 Natural

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 Natural Res. 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
30.1331.1332.13
Details
Intrinsic
Valuation
LowRealHigh
28.0233.9334.93
Details

Other Forecasting Options for Franklin Natural

For every potential investor in Franklin, whether a beginner or expert, Franklin Natural'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 Natural's price trends.

Franklin Natural 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 Natural mutual fund to make a market-neutral strategy. Peer analysis of Franklin Natural could also be used in its relative valuation, which is a method of valuing Franklin Natural by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Franklin Natural Res 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 Natural'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 Natural's current price.

Franklin Natural Market Strength Events

Market strength indicators help investors to evaluate how Franklin Natural 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 Natural shares will generate the highest return on investment. By undertsting and applying Franklin Natural mutual fund market strength indicators, traders can identify Franklin Natural Resources entry and exit signals to maximize returns.

Franklin Natural Risk Indicators

The analysis of Franklin Natural'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 Natural'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 Natural 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 Natural security.
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