DEUTSCHE BOERSE (Germany) Probability of Future Stock Price Finishing Under 14.92
| 63DA Stock | EUR 22.00 0.20 0.90% |
DEUTSCHE |
DEUTSCHE BOERSE Target Price Odds to finish below 14.92
The tendency of DEUTSCHE 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 drop to € 14.92 or more in 90 days |
| 22.00 | 90 days | 14.92 | near 1 |
Based on a normal probability distribution, the odds of DEUTSCHE BOERSE to drop to € 14.92 or more in 90 days from now is near 1 (This DEUTSCHE BOERSE ADR probability density function shows the probability of DEUTSCHE Stock to fall within a particular range of prices over 90 days) . Probability of DEUTSCHE BOERSE ADR price to stay between € 14.92 and its current price of €22.0 at the end of the 90-day period is about 90.96 .
Assuming the 90 days trading horizon DEUTSCHE BOERSE has a beta of 0.25. This suggests as returns on the market go up, DEUTSCHE BOERSE average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding DEUTSCHE BOERSE ADR will be expected to be much smaller as well. Additionally DEUTSCHE BOERSE ADR has an alpha of 0.0605, implying that it can generate a 0.0605 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). DEUTSCHE BOERSE Price Density |
| Price |
Predictive Modules for DEUTSCHE BOERSE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DEUTSCHE BOERSE ADR. 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.DEUTSCHE BOERSE Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. DEUTSCHE BOERSE is not an exception. The market had few large corrections towards the DEUTSCHE BOERSE'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 DEUTSCHE BOERSE ADR, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of DEUTSCHE BOERSE within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.06 | |
β | Beta against Dow Jones | 0.25 | |
σ | Overall volatility | 0.50 | |
Ir | Information ratio | 0.04 |
DEUTSCHE BOERSE Technical Analysis
DEUTSCHE BOERSE's future price can be derived by breaking down and analyzing its technical indicators over time. DEUTSCHE Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of DEUTSCHE BOERSE ADR. In general, you should focus on analyzing DEUTSCHE Stock price patterns and their correlations with different microeconomic environments and drivers.
DEUTSCHE BOERSE Predictive Forecast Models
DEUTSCHE BOERSE's time-series forecasting models is one of many DEUTSCHE BOERSE'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 DEUTSCHE BOERSE'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 DEUTSCHE BOERSE 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, DEUTSCHE BOERSE's short interest history, or implied volatility extrapolated from DEUTSCHE BOERSE options trading.
Other Information on Investing in DEUTSCHE Stock
DEUTSCHE BOERSE financial ratios help investors to determine whether DEUTSCHE Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in DEUTSCHE with respect to the benefits of owning DEUTSCHE BOERSE security.