CNX Resources Stock Forecast - Polynomial Regression

CNX Stock  USD 33.94  0.09  0.26%   
The Polynomial Regression forecasted value of CNX Resources Corp on the next trading day is expected to be 34.25 with a mean absolute deviation of 0.70 and the sum of the absolute errors of 43.64. CNX Stock Forecast is based on your current time horizon.
  
Payables Turnover is likely to rise to 8.66 in 2024, whereas Inventory Turnover is likely to drop 28.65 in 2024. . Common Stock Shares Outstanding is likely to rise to about 216.7 M in 2024, despite the fact that Net Loss is likely to grow to (121.5 M).
Most investors in CNX Resources cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the CNX Resources' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets CNX Resources' price structures and extracts relationships that further increase the accuracy of the generated results. CNX Resources polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for CNX Resources Corp as well as the accuracy indicators are determined from the period prices.

CNX Resources Polynomial Regression Price Forecast For the 3rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of CNX Resources Corp on the next trading day is expected to be 34.25 with a mean absolute deviation of 0.70, mean absolute percentage error of 0.76, and the sum of the absolute errors of 43.64.
Please note that although there have been many attempts to predict CNX 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 CNX Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CNX Resources Stock Forecast Pattern

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CNX Resources Forecasted Value

In the context of forecasting CNX Resources' 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. CNX Resources' downside and upside margins for the forecasting period are 32.22 and 36.28, respectively. We have considered CNX Resources' 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
33.94
34.25
Expected Value
36.28
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 CNX Resources stock data series using in forecasting. Note that when a statistical model is used to represent CNX Resources 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 Criteria119.6738
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7038
MAPEMean absolute percentage error0.0238
SAESum of the absolute errors43.6372
A single variable polynomial regression model attempts to put a curve through the CNX Resources 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 CNX Resources

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CNX Resources 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CNX Resources' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
31.6833.7235.76
Details
Intrinsic
Valuation
LowRealHigh
28.1630.2037.43
Details
11 Analysts
Consensus
LowTargetHigh
20.1822.1824.62
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.280.380.49
Details

Other Forecasting Options for CNX Resources

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

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 Risk & Return  Correlation

CNX Resources 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 CNX Resources' 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 CNX Resources' current price.

CNX Resources Market Strength Events

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

CNX Resources Risk Indicators

The analysis of CNX Resources' 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 CNX Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cnx 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.

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Additional Tools for CNX Stock Analysis

When running CNX Resources' price analysis, check to measure CNX Resources' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy CNX Resources is operating at the current time. Most of CNX Resources' value examination focuses on studying past and present price action to predict the probability of CNX Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CNX Resources' price. Additionally, you may evaluate how the addition of CNX Resources to your portfolios can decrease your overall portfolio volatility.