ENN ENERGY (Germany) Probability of Future Stock Price Finishing Over 26.65
| XGH0 Stock | 27.00 0.80 3.05% |
ENN |
ENN ENERGY Target Price Odds to finish over 26.65
The tendency of ENN 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 Price | Horizon | Target Price | Odds to stay above 26.65 in 90 days |
| 27.00 | 90 days | 26.65 | about 14.86 |
Based on a normal probability distribution, the odds of ENN ENERGY to stay above 26.65 in 90 days from now is about 14.86 (This ENN ENERGY HLDUNSADR25 probability density function shows the probability of ENN Stock to fall within a particular range of prices over 90 days) . Probability of ENN ENERGY HLDUNSADR25 price to stay between 26.65 and its current price of 27.0 at the end of the 90-day period is about 5.83 .
Assuming the 90 days trading horizon ENN ENERGY has a beta of 0.47. This entails as returns on the market go up, ENN ENERGY average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding ENN ENERGY HLDUNSADR25 will be expected to be much smaller as well. Additionally ENN ENERGY HLDUNSADR25 has an alpha of 0.0146, implying that it can generate a 0.0146 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). ENN ENERGY Price Density |
| Price |
Predictive Modules for ENN ENERGY
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ENN ENERGY HLDUNSADR25. 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.ENN ENERGY Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ENN ENERGY is not an exception. The market had few large corrections towards the ENN ENERGY'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 ENN ENERGY HLDUNSADR25, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ENN ENERGY within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.47 | |
σ | Overall volatility | 1.18 | |
Ir | Information ratio | 0.01 |
ENN ENERGY Technical Analysis
ENN ENERGY's future price can be derived by breaking down and analyzing its technical indicators over time. ENN Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ENN ENERGY HLDUNSADR25. In general, you should focus on analyzing ENN Stock price patterns and their correlations with different microeconomic environments and drivers.
ENN ENERGY Predictive Forecast Models
ENN ENERGY's time-series forecasting models is one of many ENN ENERGY'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 ENN ENERGY'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards ENN ENERGY in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, ENN ENERGY's short interest history, or implied volatility extrapolated from ENN ENERGY options trading.