Cobas Global (Germany) Probability of Future Fund Price Finishing Under 117.17

0P0001BICH   124.20  0.00  0.00%   
Cobas Global's future price is the expected price of Cobas Global 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 Cobas Global PP performance during a given time horizon utilizing its historical volatility. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
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Cobas Global Target Price Odds to finish below 117.17

The tendency of Cobas Fund 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 drop to  117.17  or more in 90 days
 124.20 90 days 117.17 
roughly 2.75
Based on a normal probability distribution, the odds of Cobas Global to drop to  117.17  or more in 90 days from now is roughly 2.75 (This Cobas Global PP probability density function shows the probability of Cobas Fund to fall within a particular range of prices over 90 days) . Probability of Cobas Global PP price to stay between  117.17  and its current price of 124.2 at the end of the 90-day period is over 95.69 .
Assuming the 90 days trading horizon Cobas Global PP has a beta of -0.21. This suggests as returns on the benchmark increase, returns on holding Cobas Global are expected to decrease at a much lower rate. During a bear market, however, Cobas Global PP is likely to outperform the market. Additionally Cobas Global PP has an alpha of 0.0597, implying that it can generate a 0.0597 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Cobas Global Price Density   
       Price  

Predictive Modules for Cobas Global

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cobas Global PP. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.

Cobas Global Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Cobas Global is not an exception. The market had few large corrections towards the Cobas Global'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 Cobas Global PP, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Cobas Global within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.06
β
Beta against Dow Jones-0.21
σ
Overall volatility
1.72
Ir
Information ratio 0.09

Cobas Global 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 Cobas Global for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Cobas Global PP can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Cobas Global PP is not yet fully synchronised with the market data

Cobas Global Technical Analysis

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

Cobas Global Predictive Forecast Models

Cobas Global's time-series forecasting models is one of many Cobas Global's fund 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 Cobas Global'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 fund market movement and maximize returns from investment trading.

Things to note about Cobas Global PP

Checking the ongoing alerts about Cobas Global for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Cobas Global PP help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Cobas Global PP is not yet fully synchronised with the market data
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