Vienna Insurance (UK) Probability of Future Stock Price Finishing Over 30.17

0MZX Stock   29.15  0.65  2.18%   
Vienna Insurance's future price is the expected price of Vienna Insurance 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 Vienna Insurance Group performance during a given time horizon utilizing its historical volatility. Check out Vienna Insurance Backtesting, Vienna Insurance Valuation, Vienna Insurance Correlation, Vienna Insurance Hype Analysis, Vienna Insurance Volatility, Vienna Insurance History as well as Vienna Insurance Performance.
  
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Vienna Insurance Target Price Odds to finish over 30.17

The tendency of Vienna 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  30.17  or more in 90 days
 29.15 90 days 30.17 
about 35.69
Based on a normal probability distribution, the odds of Vienna Insurance to move over  30.17  or more in 90 days from now is about 35.69 (This Vienna Insurance Group probability density function shows the probability of Vienna Stock to fall within a particular range of prices over 90 days) . Probability of Vienna Insurance price to stay between its current price of  29.15  and  30.17  at the end of the 90-day period is about 42.14 .
Assuming the 90 days trading horizon Vienna Insurance has a beta of 0.17. This suggests as returns on the market go up, Vienna Insurance average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Vienna Insurance Group will be expected to be much smaller as well. Additionally Vienna Insurance Group 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.
   Vienna Insurance Price Density   
       Price  

Predictive Modules for Vienna Insurance

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vienna Insurance. 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
28.1329.1430.15
Details
Intrinsic
Valuation
LowRealHigh
28.5329.5430.55
Details

Vienna Insurance Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Vienna Insurance is not an exception. The market had few large corrections towards the Vienna Insurance'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 Vienna Insurance Group, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Vienna Insurance within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.12
β
Beta against Dow Jones0.17
σ
Overall volatility
0.90
Ir
Information ratio -0.21

Vienna Insurance 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 Vienna Insurance for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Vienna Insurance can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Vienna Insurance generated a negative expected return over the last 90 days
Vienna Insurance is unlikely to experience financial distress in the next 2 years
About 73.0% of the company shares are owned by insiders or employees

Vienna Insurance 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 Vienna Stock often depends not only on the future outlook of the current and potential Vienna Insurance'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. Vienna Insurance's indicators that are reflective of the short sentiment are summarized in the table below.
Dividends Paid194 M
Shares Float46.3 M

Vienna Insurance Technical Analysis

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

Vienna Insurance Predictive Forecast Models

Vienna Insurance's time-series forecasting models is one of many Vienna Insurance'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 Vienna Insurance'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 Vienna Insurance

Checking the ongoing alerts about Vienna Insurance for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Vienna Insurance help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Vienna Insurance generated a negative expected return over the last 90 days
Vienna Insurance is unlikely to experience financial distress in the next 2 years
About 73.0% of the company shares are owned by insiders or employees

Additional Tools for Vienna Stock Analysis

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