MARKET VECTR (Germany) Probability of Future Stock Price Finishing Under 222.94
| VEFW Stock | EUR 226.70 0.20 0.09% |
MARKET |
MARKET VECTR Target Price Odds to finish below 222.94
The tendency of MARKET 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 € 222.94 or more in 90 days |
| 226.70 | 90 days | 222.94 | under 95 |
Based on a normal probability distribution, the odds of MARKET VECTR to drop to € 222.94 or more in 90 days from now is under 95 (This MARKET VECTR RETAIL probability density function shows the probability of MARKET Stock to fall within a particular range of prices over 90 days) . Probability of MARKET VECTR RETAIL price to stay between € 222.94 and its current price of €226.7 at the end of the 90-day period is roughly 2.58 .
Assuming the 90 days trading horizon MARKET VECTR has a beta of 0.22. This entails as returns on the market go up, MARKET VECTR average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding MARKET VECTR RETAIL will be expected to be much smaller as well. Additionally MARKET VECTR RETAIL has an alpha of 0.2668, implying that it can generate a 0.27 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). MARKET VECTR Price Density |
| Price |
Predictive Modules for MARKET VECTR
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MARKET VECTR RETAIL. 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.MARKET VECTR Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. MARKET VECTR is not an exception. The market had few large corrections towards the MARKET VECTR'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 MARKET VECTR RETAIL, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of MARKET VECTR within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.27 | |
β | Beta against Dow Jones | 0.22 | |
σ | Overall volatility | 11.53 | |
Ir | Information ratio | 0.20 |
MARKET VECTR Technical Analysis
MARKET VECTR's future price can be derived by breaking down and analyzing its technical indicators over time. MARKET Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of MARKET VECTR RETAIL. In general, you should focus on analyzing MARKET Stock price patterns and their correlations with different microeconomic environments and drivers.
MARKET VECTR Predictive Forecast Models
MARKET VECTR's time-series forecasting models is one of many MARKET VECTR'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 MARKET VECTR'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 MARKET VECTR 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, MARKET VECTR's short interest history, or implied volatility extrapolated from MARKET VECTR options trading.
Other Information on Investing in MARKET Stock
MARKET VECTR financial ratios help investors to determine whether MARKET 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 MARKET with respect to the benefits of owning MARKET VECTR security.