Green Plains Renewable Stock Market Value
| GPRE Stock | USD 9.74 0.15 1.52% |
| Symbol | Green |
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 (0.76) | Earnings Share (2.85) | Revenue Per Share | Quarterly Revenue Growth (0.23) | Return On Assets |
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.
| 10/13/2024 |
| 01/06/2026 |
If you would invest 0.00 in Green Plains on October 13, 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 450 days. Green Plains is related to or competes with Lightwave Logic, Gevo, Westlake Chemical, Compass Minerals, Oil Dri, Kronos Worldwide, and Koppers Holdings. 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.
| Downside Deviation | 4.53 | |||
| Information Ratio | 0.022 | |||
| Maximum Drawdown | 27.29 | |||
| Value At Risk | (7.54) | |||
| Potential Upside | 8.98 |
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.| Risk Adjusted Performance | 0.0392 | |||
| Jensen Alpha | 0.0399 | |||
| Total Risk Alpha | (0.37) | |||
| Sortino Ratio | 0.0233 | |||
| Treynor Ratio | 0.1082 |
Green Plains Renewable Backtested Returns
At this point, Green Plains is slightly risky. Green Plains Renewable holds Efficiency (Sharpe) Ratio of close to zero, which attests that the entity had a close to zero % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Green Plains Renewable, which you can use to evaluate the volatility of the firm. Please check out Green Plains' Risk Adjusted Performance of 0.0392, downside deviation of 4.53, and Market Risk Adjusted Performance of 0.1182 to validate if the risk estimate we provide is consistent with the expected return of 0.0295%. The company retains a Market Volatility (i.e., Beta) of 1.77, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Green Plains will likely underperform. Green Plains Renewable right now retains a risk of 4.86%. Please check out Green Plains information ratio, downside variance, day median price, as well as the relationship between the treynor ratio and kurtosis , to decide if Green Plains will be following its current trending patterns.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
Green Plains Renewable has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Green Plains time series from 13th of October 2024 to 26th of May 2025 and 26th of May 2025 to 6th of January 2026. 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 -0.75 indicates that around 75.0% of current Green Plains price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 3.8 |
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 |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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.