Green Plains Renewable Stock Statistic Functions Pearson Correlation Coefficient

GPRE Stock  USD 10.82  0.15  1.41%   
Green Plains statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against Green Plains. Green Plains value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Pearson Correlation Coefficient function function is designed to identify and follow existing trends. Green Plains statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Function
Time Period
Execute Function
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Green Plains Renewable and its benchmark or peer.

Green Plains Technical Analysis Modules

Most technical analysis of Green Plains help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Green from various momentum indicators to cycle indicators. When you analyze Green charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Green Plains Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Green Plains Renewable. We use our internally-developed statistical techniques to arrive at the intrinsic value of Green Plains Renewable based on widely used predictive technical indicators. In general, we focus on analyzing Green Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Green Plains's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Green Plains's intrinsic value. In addition to deriving basic predictive indicators for Green Plains, we also check how macroeconomic factors affect Green Plains price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
6.7910.8214.85
Details
Intrinsic
Valuation
LowRealHigh
5.639.6613.69
Details
Naive
Forecast
LowNextHigh
6.2010.2314.27
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.0611.3912.73
Details

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When determining whether Green Plains Renewable is a strong investment it is important to analyze Green Plains' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Green Plains' future performance. For an informed investment choice regarding Green Stock, refer to the following important reports:
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Green Plains Renewable. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices.
You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Is Chemicals space 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 Green Plains. If investors know Green 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 Green Plains listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Green Plains Renewable is measured differently than its book value, which is the value of Green that is recorded on the company's balance sheet. Investors also form their own opinion of Green Plains' value that differs from its market value or its book value, called intrinsic value, which is Green Plains' 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 Green Plains' market value can be influenced by many factors that don't directly affect Green Plains' 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 Green Plains' value and its price as these two are different measures arrived at by different means. Investors typically determine if Green Plains is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Green Plains' 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.