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Our quantitative data points are meant to provide a high-level understanding of factors in equity risk models for Science Applications Inte. Portfolio managers use these models to forecast risk, optimize portfolios and review performance.
We show how SAIC stock compares to 2,000+ US-based stocks, and to peers in the Professional, Scientific, and Technical Services sector and Computer Systems Design Services industry.
Please do not consider this data as investment advice. Data is downloaded from sources we deem reliable, but errors may occur.
SAIC® is a premier Fortune 500® technology integrator driving its nation's digital transformation. Its robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, IT modernization, and mission solutions. Using its expertise and understanding of existing and emerging technologies, the Comapny integrates the best components from its own portfolio and its partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving its customers' missions.
Many of the following risk metrics are standardized and transformed into quantitative factors in institutional-level risk models.
Rankings below represent percentiles from 1 to 100, with 1 being the lowest rating of risk.
Stocks with higher beta exhibit higher sensitivity to the ups and downs in the market. (↑↑)
Stocks with higher market capitalization often have lower risk. (↑↓)
Higher average daily dollar volume over the past 30 days implies lower liquidity risk. (↑↓)
Higher price momentum stocks, aka recent winners, equate to lower risk for many investors. (↑↓)
Style risk factors often include measures of profitability and payout levels.
Companies with higher earnings generally provide lower risk. (↑↓)
Companies with higher dividend yields, if sustaintable, are perceived to have lower risk. (↑↓)
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