Deutsche Boerse Ag Stock Probability of Future Pink Sheet Price Finishing Under 22.59
| DBOEY Stock | USD 22.24 0.09 0.40% |
Deutsche |
Deutsche Boerse Target Price Odds to finish below 22.59
The tendency of Deutsche Pink Sheet 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 under $ 22.59 after 90 days |
| 22.24 | 90 days | 22.59 | about 28.17 |
Based on a normal probability distribution, the odds of Deutsche Boerse to stay under $ 22.59 after 90 days from now is about 28.17 (This Deutsche Boerse AG probability density function shows the probability of Deutsche Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Deutsche Boerse AG price to stay between its current price of $ 22.24 and $ 22.59 at the end of the 90-day period is about 17.56 .
Assuming the 90 days horizon Deutsche Boerse has a beta of 0.13 suggesting 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 AG will be expected to be much smaller as well. Additionally Deutsche Boerse AG has an alpha of 0.021, implying that it can generate a 0.021 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Deutsche Boerse Price Density |
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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 AG. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Deutsche Boerse'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.
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 AG, 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 | 0.02 | |
β | Beta against Dow Jones | 0.13 | |
σ | Overall volatility | 0.53 | |
Ir | Information ratio | -0.06 |
Deutsche Boerse 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 Deutsche Pink Sheet often depends not only on the future outlook of the current and potential Deutsche Boerse'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. Deutsche Boerse's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.8 B | |
| Cash And Short Term Investments | 111 B |
Deutsche Boerse Technical Analysis
Deutsche Boerse's future price can be derived by breaking down and analyzing its technical indicators over time. Deutsche Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Deutsche Boerse AG. In general, you should focus on analyzing Deutsche Pink Sheet 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 pink sheet 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 pink sheet 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.
Additional Tools for Deutsche Pink Sheet Analysis
When running Deutsche Boerse's price analysis, check to measure Deutsche Boerse'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 Deutsche Boerse is operating at the current time. Most of Deutsche Boerse's value examination focuses on studying past and present price action to predict the probability of Deutsche Boerse's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Boerse's price. Additionally, you may evaluate how the addition of Deutsche Boerse to your portfolios can decrease your overall portfolio volatility.