Green Plains Renewable Stock Market Value

GPRE Stock  USD 9.38  0.16  1.74%   
Green Plains' market value is the price at which a share of Green Plains trades on a public exchange. It measures the collective expectations of Green Plains Renewable investors about its performance. Green Plains is trading at 9.38 as of the 21st of December 2024, a 1.74 percent increase since the beginning of the trading day. The stock's lowest day price was 9.12.
With this module, you can estimate the performance of a buy and hold strategy of Green Plains Renewable and determine expected loss or profit from investing in Green Plains over a given investment horizon. Check out Green Plains Correlation, Green Plains Volatility and Green Plains Alpha and Beta module to complement your research on Green Plains.
Symbol

Green Plains Renewable Price To Book Ratio

Is Oil & Gas Refining & Marketing 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.
Quarterly Earnings Growth
0.977
Earnings Share
(0.32)
Revenue Per Share
41.372
Quarterly Revenue Growth
(0.26)
Return On Assets
(0.01)
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.

Green Plains 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Green Plains' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Green Plains.
0.00
11/21/2024
No Change 0.00  0.0 
In 30 days
12/21/2024
0.00
If you would invest  0.00  in Green Plains on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding Green Plains Renewable or generate 0.0% return on investment in Green Plains over 30 days. Green Plains is related to or competes with Lsb Industries, AdvanSix, Tronox Holdings, Methanex, Valhi, Westlake Chemical, and Huntsman. Green Plains Inc. produces, markets, and distributes ethanol in the United States and internationally More

Green Plains Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Green Plains' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Green Plains Renewable upside and downside potential and time the market with a certain degree of confidence.

Green Plains Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Green Plains' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Green Plains' standard deviation. In reality, there are many statistical measures that can use Green Plains historical prices to predict the future Green Plains' volatility.
Hype
Prediction
LowEstimatedHigh
5.449.2313.02
Details
Intrinsic
Valuation
LowRealHigh
8.4417.2020.99
Details
Naive
Forecast
LowNextHigh
5.719.5113.30
Details
9 Analysts
Consensus
LowTargetHigh
37.6141.3345.88
Details

Green Plains Renewable Backtested Returns

Green Plains Renewable holds Efficiency (Sharpe) Ratio of -0.11, which attests that the entity had a -0.11% return per unit of risk over the last 3 months. Green Plains Renewable exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Green Plains' Market Risk Adjusted Performance of (10.07), standard deviation of 3.82, and Risk Adjusted Performance of (0.09) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.0486, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Green Plains' returns are expected to increase less than the market. However, during the bear market, the loss of holding Green Plains is expected to be smaller as well. At this point, Green Plains Renewable has a negative expected return of -0.43%. Please make sure to check out Green Plains' potential upside, and the relationship between the total risk alpha and daily balance of power , to decide if Green Plains Renewable performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.54  

Modest predictability

Green Plains Renewable has modest predictability. Overlapping area represents the amount of predictability between Green Plains time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Green Plains Renewable price movement. The serial correlation of 0.54 indicates that about 54.0% of current Green Plains price fluctuation can be explain by its past prices.
Correlation Coefficient0.54
Spearman Rank Test0.52
Residual Average0.0
Price Variance0.36

Green Plains Renewable lagged returns against current returns

Autocorrelation, which is Green Plains stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Green Plains' stock expected returns. We can calculate the autocorrelation of Green Plains returns to help us make a trade decision. For example, suppose you find that Green Plains has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Green Plains regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Green Plains stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Green Plains stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Green Plains stock over time.
   Current vs Lagged Prices   
       Timeline  

Green Plains Lagged Returns

When evaluating Green Plains' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Green Plains stock have on its future price. Green Plains autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Green Plains autocorrelation shows the relationship between Green Plains stock current value and its past values and can show if there is a momentum factor associated with investing in Green Plains Renewable.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
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 Green Plains Correlation, Green Plains Volatility and Green Plains Alpha and Beta module to complement your research on Green Plains.
You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Green Plains technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Green Plains technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Green Plains trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...