Science Applications International Stock Probability of Future Stock Price Finishing Over 129.47
| SAIC Stock | USD 129.47 0.35 0.27% |
Closest to current price Science long CALL Option Payoff at Expiration
Science |
Science Applications Target Price Odds to finish over 129.47
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 move above the current price in 90 days |
| 129.47 | 90 days | 129.47 | about 63.9 |
Based on a normal probability distribution, the odds of Science Applications to move above the current price in 90 days from now is about 63.9 (This Science Applications International probability density function shows the probability of Science Stock to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days Science Applications has a beta of 0.9. This usually implies Science Applications International market returns are highly-sensitive to returns on the market. As the market goes up or down, Science Applications is expected to follow. 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 NYSE Composite. 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 NYSE Composite | -0.05 | |
β | Beta against NYSE Composite | 0.90 | |
σ | Overall volatility | 6.10 | |
Ir | Information ratio | -0.04 |
Science Applications Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Science Applications for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Science Applications can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Over 79.0% of the company shares are owned by institutional investors | |
| On 26th of April 2024 Science Applications paid $ 0.37 per share dividend to its current shareholders | |
| Latest headline from finance.yahoo.com: Alpha Omega announces Joanne Gladden Promoted to Senior Vice President of Climate Science |
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 | 53.7 M | |
| Cash And Short Term Investments | 94 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.
Things to note about Science Applications
Checking the ongoing alerts about Science Applications for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Science Applications help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Over 79.0% of the company shares are owned by institutional investors | |
| On 26th of April 2024 Science Applications paid $ 0.37 per share dividend to its current shareholders | |
| Latest headline from finance.yahoo.com: Alpha Omega announces Joanne Gladden Promoted to Senior Vice President of Climate Science |
Check out Science Applications Backtesting, Science Applications Valuation, Science Applications Correlation, Science Applications Hype Analysis, Science Applications Volatility, Science Applications History as well as Science Applications Performance. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Complementary 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.
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Is Science Applications' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Science Applications. If investors know Science will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Science Applications listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.45) | Dividend Share 1.48 | Earnings Share 8.88 | Revenue Per Share 140.188 | Quarterly Revenue Growth (0.12) |
The market value of Science Applications is measured differently than its book value, which is the value of Science that is recorded on the company's balance sheet. Investors also form their own opinion of Science Applications' value that differs from its market value or its book value, called intrinsic value, which is Science Applications' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Science Applications' market value can be influenced by many factors that don't directly affect Science Applications' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Science Applications' value and its price as these two are different measures arrived at by different means. Investors typically determine if Science Applications is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Science Applications' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.