Range Resources Stock Forecast - Polynomial Regression

RRC Stock  USD 36.58  0.47  1.30%   
The Polynomial Regression forecasted value of Range Resources Corp on the next trading day is expected to be 35.96 with a mean absolute deviation of  0.67  and the sum of the absolute errors of 41.75. Range Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Range Resources stock prices and determine the direction of Range Resources Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Range Resources' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Range Resources' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Range Resources' systematic risk associated with finding meaningful patterns of Range Resources fundamentals over time.
Check out Historical Fundamental Analysis of Range Resources to cross-verify your projections.
  
The current year's Payables Turnover is expected to grow to 16.81, whereas Inventory Turnover is forecasted to decline to 4.19. . The current year's Net Income Applicable To Common Shares is expected to grow to about 1.1 B, whereas Common Stock Shares Outstanding is forecasted to decline to about 132.5 M.

Open Interest Against 2024-05-17 Range Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Range Resources' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Range Resources' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Range Resources stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Range Resources' open interest, investors have to compare it to Range Resources' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Range Resources is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Range. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Range 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 Range Resources' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Range Resources' price structures and extracts relationships that further increase the generated results' accuracy.
Range Resources polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Range Resources Corp as well as the accuracy indicators are determined from the period prices.

Range Resources Polynomial Regression Price Forecast For the 25th of April

Given 90 days horizon, the Polynomial Regression forecasted value of Range Resources Corp on the next trading day is expected to be 35.96 with a mean absolute deviation of 0.67, mean absolute percentage error of 0.65, and the sum of the absolute errors of 41.75.
Please note that although there have been many attempts to predict Range 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 Range Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Range Resources Stock Forecast Pattern

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Range Resources Forecasted Value

In the context of forecasting Range 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. Range Resources' downside and upside margins for the forecasting period are 34.21 and 37.71, respectively. We have considered Range 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
36.58
35.96
Expected Value
37.71
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 Range Resources stock data series using in forecasting. Note that when a statistical model is used to represent Range 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 Criteria119.5129
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6734
MAPEMean absolute percentage error0.0212
SAESum of the absolute errors41.7489
A single variable polynomial regression model attempts to put a curve through the Range 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 Range 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 Range 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 Range 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
34.8036.5538.30
Details
Intrinsic
Valuation
LowRealHigh
36.3338.0839.83
Details
27 Analysts
Consensus
LowTargetHigh
32.3835.5839.49
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.400.570.75
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Range Resources. Your research has to be compared to or analyzed against Range Resources' peers to derive any actionable benefits. When done correctly, Range Resources' 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 Range Resources Corp.

Other Forecasting Options for Range Resources

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

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

Range 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 Range 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 Range Resources' current price.

Range Resources Market Strength Events

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

Range Resources Risk Indicators

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

When determining whether Range Resources Corp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Range Resources' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Range Resources Corp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Range Resources Corp Stock:
Check out Historical Fundamental Analysis of Range Resources to cross-verify your projections.
You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

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When running Range Resources' price analysis, check to measure Range 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 Range Resources is operating at the current time. Most of Range Resources' value examination focuses on studying past and present price action to predict the probability of Range Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Range Resources' price. Additionally, you may evaluate how the addition of Range Resources to your portfolios can decrease your overall portfolio volatility.
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Is Range Resources' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Range Resources. If investors know Range will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Range Resources listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.62)
Dividend Share
0.32
Earnings Share
3.57
Revenue Per Share
10.774
Quarterly Revenue Growth
(0.45)
The market value of Range Resources Corp is measured differently than its book value, which is the value of Range that is recorded on the company's balance sheet. Investors also form their own opinion of Range Resources' value that differs from its market value or its book value, called intrinsic value, which is Range Resources' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Range Resources' market value can be influenced by many factors that don't directly affect Range Resources' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Range Resources' value and its price as these two are different measures arrived at by different means. Investors typically determine if Range Resources is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Range Resources' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.