GREEN PLAINS (Germany) Probability of Future Stock Price Finishing Over 9.16

G3V Stock  EUR 9.16  0.47  5.41%   
GREEN PLAINS's future price is the expected price of GREEN PLAINS instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of GREEN PLAINS RENEW performance during a given time horizon utilizing its historical volatility. Check out GREEN PLAINS Backtesting, GREEN PLAINS Valuation, GREEN PLAINS Correlation, GREEN PLAINS Hype Analysis, GREEN PLAINS Volatility, GREEN PLAINS History as well as GREEN PLAINS Performance.
  
Please specify GREEN PLAINS's target price for which you would like GREEN PLAINS odds to be computed.

GREEN PLAINS Target Price Odds to finish over 9.16

The tendency of GREEN Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move above the current price in 90 days
 9.16 90 days 9.16 
roughly 96.0
Based on a normal probability distribution, the odds of GREEN PLAINS to move above the current price in 90 days from now is roughly 96.0 (This GREEN PLAINS RENEW probability density function shows the probability of GREEN Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon GREEN PLAINS has a beta of 0.2. This usually indicates as returns on the market go up, GREEN PLAINS average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding GREEN PLAINS RENEW will be expected to be much smaller as well. Additionally GREEN PLAINS RENEW has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   GREEN PLAINS Price Density   
       Price  

Predictive Modules for GREEN PLAINS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GREEN PLAINS RENEW. 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.
Hype
Prediction
LowEstimatedHigh
0.000.003.34
Details
Intrinsic
Valuation
LowRealHigh
0.000.003.34
Details

GREEN PLAINS Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. GREEN PLAINS is not an exception. The market had few large corrections towards the GREEN PLAINS's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold GREEN PLAINS RENEW, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GREEN PLAINS within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.33
β
Beta against Dow Jones0.20
σ
Overall volatility
0.88
Ir
Information ratio -0.11

GREEN PLAINS Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of GREEN PLAINS for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for GREEN PLAINS RENEW can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
GREEN PLAINS RENEW generated a negative expected return over the last 90 days
GREEN PLAINS RENEW has high historical volatility and very poor performance
The company reported the revenue of 3.66 B. Net Loss for the year was (127.22 M) with profit before overhead, payroll, taxes, and interest of 0.

GREEN PLAINS Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of GREEN Stock often depends not only on the future outlook of the current and potential GREEN PLAINS's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. GREEN PLAINS's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding59.3 M
Dividends Paid22.6 M
Short Long Term Debt139.5 M

GREEN PLAINS Technical Analysis

GREEN PLAINS's future price can be derived by breaking down and analyzing its technical indicators over time. GREEN Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GREEN PLAINS RENEW. In general, you should focus on analyzing GREEN Stock price patterns and their correlations with different microeconomic environments and drivers.

GREEN PLAINS Predictive Forecast Models

GREEN PLAINS's time-series forecasting models is one of many GREEN PLAINS's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary GREEN PLAINS's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about GREEN PLAINS RENEW

Checking the ongoing alerts about GREEN PLAINS for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for GREEN PLAINS RENEW help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
GREEN PLAINS RENEW generated a negative expected return over the last 90 days
GREEN PLAINS RENEW has high historical volatility and very poor performance
The company reported the revenue of 3.66 B. Net Loss for the year was (127.22 M) with profit before overhead, payroll, taxes, and interest of 0.

Additional Tools for GREEN Stock Analysis

When running GREEN PLAINS's price analysis, check to measure GREEN PLAINS's 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 GREEN PLAINS is operating at the current time. Most of GREEN PLAINS's value examination focuses on studying past and present price action to predict the probability of GREEN PLAINS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GREEN PLAINS's price. Additionally, you may evaluate how the addition of GREEN PLAINS to your portfolios can decrease your overall portfolio volatility.