AP Møller (Germany) Probability of Future Stock Price Finishing Under 1,610
| DP4B Stock | EUR 1,634 39.00 2.45% |
DP4B |
AP Møller Target Price Odds to finish below 1,610
The tendency of DP4B 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 move below current price in 90 days |
| 1,634 | 90 days | 1,634 | close to 99 |
Based on a normal probability distribution, the odds of AP Møller to move below current price in 90 days from now is close to 99 (This AP Mller probability density function shows the probability of DP4B Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon AP Møller has a beta of 0.39 suggesting as returns on the market go up, AP Møller average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding AP Mller will be expected to be much smaller as well. Additionally AP Mller has an alpha of 0.1986, implying that it can generate a 0.2 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). AP Møller Price Density |
| Price |
Predictive Modules for AP Møller
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AP Møller. 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.AP Møller Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. AP Møller is not an exception. The market had few large corrections towards the AP Møller'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 AP Mller , one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of AP Møller within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.20 | |
β | Beta against Dow Jones | 0.39 | |
σ | Overall volatility | 87.38 | |
Ir | Information ratio | 0.05 |
AP Møller 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 DP4B Stock often depends not only on the future outlook of the current and potential AP Møller'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. AP Møller's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 17.6 M |
AP Møller Technical Analysis
AP Møller's future price can be derived by breaking down and analyzing its technical indicators over time. DP4B Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of AP Mller . In general, you should focus on analyzing DP4B Stock price patterns and their correlations with different microeconomic environments and drivers.
AP Møller Predictive Forecast Models
AP Møller's time-series forecasting models is one of many AP Møller'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 AP Møller'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 AP Møller 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, AP Møller's short interest history, or implied volatility extrapolated from AP Møller options trading.
Other Information on Investing in DP4B Stock
AP Møller financial ratios help investors to determine whether DP4B 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 DP4B with respect to the benefits of owning AP Møller security.