Science Applications Correlations

SAIC Stock  USD 101.76  0.06  0.06%   
The current 90-days correlation between Science Applications and Avnet Inc is 0.08 (i.e., Significant diversification). The correlation of Science Applications is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Science Applications Correlation With Market

Almost no diversification

The correlation between Science Applications Internati and DJI is 0.9 (i.e., Almost no diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Science Applications Internati and DJI in the same portfolio, assuming nothing else is changed.
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Science Applications International. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with Science Stock

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Moving against Science Stock

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  0.34JD JD Inc AdrPairCorr

Related Correlations Analysis


Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

SLABVICR
VICRNIQ
CNXCDLO
VICRAVT
VRRMPSFE
CNXCSLAB
  

High negative correlations

CNXCPAY
NIQPSFE
VICRPAY
PAYAVT
SLABPAY
PAYNIQ

Risk-Adjusted Indicators

There is a big difference between Science Stock performing well and Science Applications Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Science Applications' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
PSFE  2.89 (0.88) 0.00 (0.38) 0.00 
 4.29 
 31.29 
AVT  1.43  0.29  0.22  0.27  1.07 
 3.50 
 9.18 
NIQ  2.11  0.30  0.14  0.34  1.96 
 4.93 
 10.33 
VRRM  1.10 (0.36) 0.00 (0.47) 0.00 
 2.25 
 7.22 
INGM  1.46 (0.10) 0.00 (0.04) 0.00 
 3.53 
 9.36 
PAY  2.26 (0.18) 0.00 (0.83) 0.00 
 3.65 
 36.06 
VICR  2.68  0.83  0.22  0.41  2.93 
 6.34 
 22.45 
DLO  1.91 (0.26) 0.00 (0.09) 0.00 
 3.11 
 11.21 
SLAB  1.88  0.03  0.03  0.05  2.03 
 4.49 
 11.70 
CNXC  2.43 (0.32) 0.00 (0.14) 0.00 
 4.30 
 19.52