Gerresheimer (Germany) Probability of Future Stock Price Finishing Over 73.95

GXI Stock   73.95  1.25  1.66%   
Gerresheimer's future price is the expected price of Gerresheimer 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 Gerresheimer AG performance during a given time horizon utilizing its historical volatility. Check out Gerresheimer Backtesting, Gerresheimer Valuation, Gerresheimer Correlation, Gerresheimer Hype Analysis, Gerresheimer Volatility, Gerresheimer History as well as Gerresheimer Performance.
  
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Gerresheimer Target Price Odds to finish over 73.95

The tendency of Gerresheimer 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
 73.95 90 days 73.95 
about 85.9
Based on a normal probability distribution, the odds of Gerresheimer to move above the current price in 90 days from now is about 85.9 (This Gerresheimer AG probability density function shows the probability of Gerresheimer Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Gerresheimer has a beta of 0.58. This usually indicates as returns on the market go up, Gerresheimer average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Gerresheimer AG will be expected to be much smaller as well. Additionally Gerresheimer AG 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.
   Gerresheimer Price Density   
       Price  

Predictive Modules for Gerresheimer

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gerresheimer AG. 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 Gerresheimer's 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
71.0973.9576.81
Details
Intrinsic
Valuation
LowRealHigh
66.5680.8483.70
Details

Gerresheimer Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Gerresheimer is not an exception. The market had few large corrections towards the Gerresheimer'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 Gerresheimer AG, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Gerresheimer within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.4
β
Beta against Dow Jones0.58
σ
Overall volatility
11.48
Ir
Information ratio -0.15

Gerresheimer 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 Gerresheimer for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Gerresheimer AG can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Gerresheimer AG generated a negative expected return over the last 90 days
Over 86.0% of the company shares are owned by institutional investors

Gerresheimer 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 Gerresheimer Stock often depends not only on the future outlook of the current and potential Gerresheimer'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. Gerresheimer's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding31.4 M
Cash And Short Term Investments124.8 M

Gerresheimer Technical Analysis

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

Gerresheimer Predictive Forecast Models

Gerresheimer's time-series forecasting models is one of many Gerresheimer'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 Gerresheimer'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 Gerresheimer AG

Checking the ongoing alerts about Gerresheimer for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Gerresheimer AG help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Gerresheimer AG generated a negative expected return over the last 90 days
Over 86.0% of the company shares are owned by institutional investors

Additional Tools for Gerresheimer Stock Analysis

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