Correlation Between Science Applications and RETAIL FOOD
Can any of the company-specific risk be diversified away by investing in both Science Applications and RETAIL FOOD at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Science Applications and RETAIL FOOD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Science Applications International and RETAIL FOOD GROUP, you can compare the effects of market volatilities on Science Applications and RETAIL FOOD and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Science Applications with a short position of RETAIL FOOD. Check out your portfolio center. Please also check ongoing floating volatility patterns of Science Applications and RETAIL FOOD.
Diversification Opportunities for Science Applications and RETAIL FOOD
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Science and RETAIL is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Science Applications Internati and RETAIL FOOD GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RETAIL FOOD GROUP and Science Applications is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Science Applications International are associated (or correlated) with RETAIL FOOD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RETAIL FOOD GROUP has no effect on the direction of Science Applications i.e., Science Applications and RETAIL FOOD go up and down completely randomly.
Pair Corralation between Science Applications and RETAIL FOOD
Assuming the 90 days trading horizon Science Applications International is expected to generate 0.64 times more return on investment than RETAIL FOOD. However, Science Applications International is 1.56 times less risky than RETAIL FOOD. It trades about 0.26 of its potential returns per unit of risk. RETAIL FOOD GROUP is currently generating about -0.33 per unit of risk. If you would invest 10,564 in Science Applications International on October 22, 2024 and sell it today you would earn a total of 636.00 from holding Science Applications International or generate 6.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Science Applications Internati vs. RETAIL FOOD GROUP
Performance |
Timeline |
Science Applications |
RETAIL FOOD GROUP |
Science Applications and RETAIL FOOD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Science Applications and RETAIL FOOD
The main advantage of trading using opposite Science Applications and RETAIL FOOD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Science Applications position performs unexpectedly, RETAIL FOOD can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in RETAIL FOOD will offset losses from the drop in RETAIL FOOD's long position.Science Applications vs. TERADATA | Science Applications vs. INFORMATION SVC GRP | Science Applications vs. Scandinavian Tobacco Group | Science Applications vs. De Grey Mining |
RETAIL FOOD vs. JIAHUA STORES | RETAIL FOOD vs. CITIC Telecom International | RETAIL FOOD vs. Entravision Communications | RETAIL FOOD vs. Singapore Telecommunications Limited |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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