HMS Bergbau (Germany) Probability of Future Stock Price Finishing Over 30.43

HMU Stock   29.20  0.20  0.68%   
HMS Bergbau's future price is the expected price of HMS Bergbau 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 HMS Bergbau AG performance during a given time horizon utilizing its historical volatility. Check out HMS Bergbau Backtesting, HMS Bergbau Valuation, HMS Bergbau Correlation, HMS Bergbau Hype Analysis, HMS Bergbau Volatility, HMS Bergbau History as well as HMS Bergbau Performance.
  
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HMS Bergbau Target Price Odds to finish over 30.43

The tendency of HMS 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 over  30.43  or more in 90 days
 29.20 90 days 30.43 
about 1.59
Based on a normal probability distribution, the odds of HMS Bergbau to move over  30.43  or more in 90 days from now is about 1.59 (This HMS Bergbau AG probability density function shows the probability of HMS Stock to fall within a particular range of prices over 90 days) . Probability of HMS Bergbau AG price to stay between its current price of  29.20  and  30.43  at the end of the 90-day period is about 20.65 .
Assuming the 90 days trading horizon HMS Bergbau has a beta of 0.0841. This usually indicates as returns on the market go up, HMS Bergbau average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding HMS Bergbau AG will be expected to be much smaller as well. Additionally HMS Bergbau AG has an alpha of 0.1482, implying that it can generate a 0.15 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   HMS Bergbau Price Density   
       Price  

Predictive Modules for HMS Bergbau

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HMS Bergbau 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 HMS Bergbau'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
27.9729.2030.43
Details
Intrinsic
Valuation
LowRealHigh
26.2831.9733.20
Details
Naive
Forecast
LowNextHigh
28.2729.5030.72
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
28.8329.2829.73
Details

HMS Bergbau Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. HMS Bergbau is not an exception. The market had few large corrections towards the HMS Bergbau'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 HMS Bergbau AG, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of HMS Bergbau within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.15
β
Beta against Dow Jones0.08
σ
Overall volatility
0.89
Ir
Information ratio 0.10

HMS Bergbau 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 HMS Bergbau for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for HMS Bergbau 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.
About 76.0% of the company shares are held by company insiders

HMS Bergbau 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 HMS Stock often depends not only on the future outlook of the current and potential HMS Bergbau'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. HMS Bergbau's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding4.5 M
Cash And Short Term Investments26 M

HMS Bergbau Technical Analysis

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

HMS Bergbau Predictive Forecast Models

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

Checking the ongoing alerts about HMS Bergbau for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for HMS Bergbau AG help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
About 76.0% of the company shares are held by company insiders

Additional Tools for HMS Stock Analysis

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