Peabody Energy Stock Forecast - Polynomial Regression

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

Peabody Energy Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Peabody Energy Corp on the next trading day is expected to be 27.13 with a mean absolute deviation of 1.02, mean absolute percentage error of 1.47, and the sum of the absolute errors of 63.14.

Peabody Energy Stock Forecast Pattern

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Peabody Energy 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 Peabody Energy stock data series using in forecasting. Note that when a statistical model is used to represent Peabody Energy 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. A single variable polynomial regression model attempts to put a curve through the Peabody Energy 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 Peabody Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Peabody Energy Corp. 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 Low Estimated High 23.12 25.85 28.58 Details

Intrinsic Valuation Low Real High 24.63 27.36 30.09 Details

Bollinger Band Projection (param) Low Middle High 25.62 27.17 28.72 Details

5 Analysts Consensus Low Target High 26.57 29.20 32.41 Details

Other Forecasting Options for Peabody Energy

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

Peabody Energy Related Equities

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Correlation

Peabody Energy Corp 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 Peabody Energy'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 Peabody Energy's current price.

Peabody Energy Market Strength Events

Peabody Energy Risk Indicators

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