Freeport McMoRan Stock Forecast - Simple Regression

FPMB Stock  EUR 38.60  0.42  1.08%   
The Simple Regression forecasted value of Freeport McMoRan on the next trading day is expected to be 39.72 with a mean absolute deviation of 0.72 and the sum of the absolute errors of 43.68. Freeport Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Freeport McMoRan's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Freeport McMoRan 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.

Freeport McMoRan Simple Regression Price Forecast For the 19th of December

Given 90 days horizon, the Simple Regression forecasted value of Freeport McMoRan on the next trading day is expected to be 39.72 with a mean absolute deviation of 0.72, mean absolute percentage error of 0.78, and the sum of the absolute errors of 43.68.
Please note that although there have been many attempts to predict Freeport Stock 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 Freeport McMoRan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Freeport McMoRan Stock Forecast Pattern

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Freeport McMoRan Forecasted Value

In the context of forecasting Freeport McMoRan's Stock 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. Freeport McMoRan's downside and upside margins for the forecasting period are 37.64 and 41.80, respectively. We have considered Freeport McMoRan'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
38.60
39.72
Expected Value
41.80
Upside

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 Freeport McMoRan stock data series using in forecasting. Note that when a statistical model is used to represent Freeport McMoRan stock, 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 Criteria117.8557
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7161
MAPEMean absolute percentage error0.0169
SAESum of the absolute errors43.6811
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 Freeport McMoRan 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 Freeport McMoRan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Freeport McMoRan. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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
36.5238.6040.68
Details
Intrinsic
Valuation
LowRealHigh
29.1931.2742.46
Details
Bollinger
Band Projection (param)
LowMiddleHigh
38.8342.1845.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Freeport McMoRan. Your research has to be compared to or analyzed against Freeport McMoRan's peers to derive any actionable benefits. When done correctly, Freeport McMoRan'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 Freeport McMoRan.

Other Forecasting Options for Freeport McMoRan

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

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

Freeport McMoRan Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Freeport McMoRan'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 Freeport McMoRan's current price.

Freeport McMoRan Market Strength Events

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

Freeport McMoRan Risk Indicators

The analysis of Freeport McMoRan'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 Freeport McMoRan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting freeport stock 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Freeport Stock

Freeport McMoRan financial ratios help investors to determine whether Freeport Stock 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 Freeport with respect to the benefits of owning Freeport McMoRan security.