Science Applications International Stock Market Value
| SAIC Stock | USD 153.33 0.77 0.50% |
| Symbol | Science |
Science Applications Company Valuation
Is IT Consulting & Other Services space 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 (0.65) | Dividend Share 1.48 | Earnings Share 5.59 | Revenue Per Share 140.869 | Quarterly Revenue Growth 0.019 |
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.
Science Applications 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Science Applications' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Science Applications.
| 10/14/2024 |
| 11/13/2024 |
If you would invest 0.00 in Science Applications on October 14, 2024 and sell it all today you would earn a total of 0.00 from holding Science Applications International or generate 0.0% return on investment in Science Applications over 30 days. Science Applications is related to or competes with CACI International, CDW Corp, Gartner, Jack Henry, Leidos Holdings, ExlService Holdings, and Parsons Corp. Science Applications International Corporation provides technical, engineering, and enterprise information technology se... More
Science Applications Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Science Applications' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Science Applications International upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.03 | |||
| Information Ratio | 0.1648 | |||
| Maximum Drawdown | 7.3 | |||
| Value At Risk | (1.39) | |||
| Potential Upside | 1.89 |
Science Applications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Science Applications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Science Applications' standard deviation. In reality, there are many statistical measures that can use Science Applications historical prices to predict the future Science Applications' volatility.| Risk Adjusted Performance | 0.2476 | |||
| Jensen Alpha | 0.2559 | |||
| Total Risk Alpha | 0.1129 | |||
| Sortino Ratio | 0.1766 | |||
| Treynor Ratio | 0.6374 |
Science Applications Backtested Returns
Science Applications appears to be very steady, given 3 months investment horizon. Science Applications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.3, which indicates the firm had a 0.3% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Science Applications International, which you can use to evaluate the volatility of the company. Please review Science Applications' Semi Deviation of 0.5589, coefficient of variation of 314.58, and Risk Adjusted Performance of 0.2476 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Science Applications holds a performance score of 23. The entity has a beta of 0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Science Applications' returns are expected to increase less than the market. However, during the bear market, the loss of holding Science Applications is expected to be smaller as well. Please check Science Applications' total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to make a quick decision on whether Science Applications' existing price patterns will revert.
Auto-correlation | -0.83 |
Excellent reverse predictability
Science Applications International has excellent reverse predictability. Overlapping area represents the amount of predictability between Science Applications time series from 14th of October 2024 to 29th of October 2024 and 29th of October 2024 to 13th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Science Applications price movement. The serial correlation of -0.83 indicates that around 83.0% of current Science Applications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.83 | |
| Spearman Rank Test | -0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 10.32 |
Science Applications lagged returns against current returns
Autocorrelation, which is Science Applications stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Science Applications' stock expected returns. We can calculate the autocorrelation of Science Applications returns to help us make a trade decision. For example, suppose you find that Science Applications has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Science Applications regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Science Applications stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Science Applications stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Science Applications stock over time.
Current vs Lagged Prices |
| Timeline |
Science Applications Lagged Returns
When evaluating Science Applications' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Science Applications stock have on its future price. Science Applications autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Science Applications autocorrelation shows the relationship between Science Applications stock current value and its past values and can show if there is a momentum factor associated with investing in Science Applications International.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Science Applications offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Science Applications' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Science Applications International Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Science Applications International Stock:Check out Science Applications Correlation, Science Applications Volatility and Science Applications Alpha and Beta module to complement your research on Science Applications. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Science Applications technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.