Science Applications (Germany) Probability of Future Stock Price Finishing Over 117.25
| 85S Stock | 118.00 3.00 2.61% |
Science |
Science Applications Target Price Odds to finish over 117.25
The tendency of Science 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 117.25 in 90 days |
| 118.00 | 90 days | 117.25 | about 82.78 |
Based on a normal probability distribution, the odds of Science Applications to stay above 117.25 in 90 days from now is about 82.78 (This Science Applications International probability density function shows the probability of Science Stock to fall within a particular range of prices over 90 days) . Probability of Science Applications price to stay between 117.25 and its current price of 118.0 at the end of the 90-day period is roughly 2.25 .
Assuming the 90 days trading horizon Science Applications has a beta of 0.84. This suggests as returns on the market go up, Science Applications average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Science Applications International will be expected to be much smaller as well. Additionally Science Applications International has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Science Applications Price Density |
| Price |
Predictive Modules for Science Applications
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Science Applications. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Science Applications' 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.
Science Applications Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Science Applications is not an exception. The market had few large corrections towards the Science Applications' 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 Science Applications International, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Science Applications within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | 0.84 | |
σ | Overall volatility | 8.83 | |
Ir | Information ratio | -0.02 |
Science Applications 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 Science Stock often depends not only on the future outlook of the current and potential Science Applications' 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. Science Applications' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 56 M | |
| Dividends Paid | 86 M | |
| Short Long Term Debt | 148 M |
Science Applications Technical Analysis
Science Applications' future price can be derived by breaking down and analyzing its technical indicators over time. Science Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Science Applications International. In general, you should focus on analyzing Science Stock price patterns and their correlations with different microeconomic environments and drivers.
Science Applications Predictive Forecast Models
Science Applications' time-series forecasting models is one of many Science Applications' 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 Science Applications' 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 Science Applications 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, Science Applications' short interest history, or implied volatility extrapolated from Science Applications options trading.
Additional Tools for Science Stock Analysis
When running Science Applications' price analysis, check to measure Science Applications' 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 Science Applications is operating at the current time. Most of Science Applications' value examination focuses on studying past and present price action to predict the probability of Science Applications' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Science Applications' price. Additionally, you may evaluate how the addition of Science Applications to your portfolios can decrease your overall portfolio volatility.