COMBA TELECOM (Germany) Probability of Future Stock Price Finishing Under 0.13

COA1 Stock  EUR 0.12  0.00  0.00%   
COMBA TELECOM's future price is the expected price of COMBA TELECOM 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 COMBA TELECOM SYST performance during a given time horizon utilizing its historical volatility. Check out COMBA TELECOM Backtesting, COMBA TELECOM Valuation, COMBA TELECOM Correlation, COMBA TELECOM Hype Analysis, COMBA TELECOM Volatility, COMBA TELECOM History as well as COMBA TELECOM Performance.
  
Please specify COMBA TELECOM's target price for which you would like COMBA TELECOM odds to be computed.

COMBA TELECOM Target Price Odds to finish below 0.13

The tendency of COMBA 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 stay under € 0.13  after 90 days
 0.12 90 days 0.13 
about 49.71
Based on a normal probability distribution, the odds of COMBA TELECOM to stay under € 0.13  after 90 days from now is about 49.71 (This COMBA TELECOM SYST probability density function shows the probability of COMBA Stock to fall within a particular range of prices over 90 days) . Probability of COMBA TELECOM SYST price to stay between its current price of € 0.12  and € 0.13  at the end of the 90-day period is about 47.2 .
Assuming the 90 days trading horizon COMBA TELECOM SYST has a beta of -0.18 suggesting as returns on the benchmark increase, returns on holding COMBA TELECOM are expected to decrease at a much lower rate. During a bear market, however, COMBA TELECOM SYST is likely to outperform the market. Additionally COMBA TELECOM SYST has an alpha of 0.0294, implying that it can generate a 0.0294 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   COMBA TELECOM Price Density   
       Price  

Predictive Modules for COMBA TELECOM

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as COMBA TELECOM SYST. 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
0.010.121.74
Details
Intrinsic
Valuation
LowRealHigh
0.010.101.73
Details
Naive
Forecast
LowNextHigh
00.111.74
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.120.130.14
Details

COMBA TELECOM Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. COMBA TELECOM is not an exception. The market had few large corrections towards the COMBA TELECOM'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 COMBA TELECOM SYST, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of COMBA TELECOM within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.03
β
Beta against Dow Jones-0.18
σ
Overall volatility
0.01
Ir
Information ratio -0.06

COMBA TELECOM 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 COMBA TELECOM for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for COMBA TELECOM SYST can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
COMBA TELECOM SYST generated a negative expected return over the last 90 days
COMBA TELECOM SYST has some characteristics of a very speculative penny stock

COMBA TELECOM 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 COMBA Stock often depends not only on the future outlook of the current and potential COMBA TELECOM'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. COMBA TELECOM's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding2.8 B
Dividend Yield0.0253
Short Term Investments248.2 M
Short Long Term Debt644.7 M

COMBA TELECOM Technical Analysis

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

COMBA TELECOM Predictive Forecast Models

COMBA TELECOM's time-series forecasting models is one of many COMBA TELECOM'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 COMBA TELECOM'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 COMBA TELECOM SYST

Checking the ongoing alerts about COMBA TELECOM for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for COMBA TELECOM SYST help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
COMBA TELECOM SYST generated a negative expected return over the last 90 days
COMBA TELECOM SYST has some characteristics of a very speculative penny stock

Additional Tools for COMBA Stock Analysis

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