Correlation Between Science Applications and TERADATA
Can any of the company-specific risk be diversified away by investing in both Science Applications and TERADATA 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 TERADATA 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 TERADATA, you can compare the effects of market volatilities on Science Applications and TERADATA 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 TERADATA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Science Applications and TERADATA.
Diversification Opportunities for Science Applications and TERADATA
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Science and TERADATA is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Science Applications Internati and TERADATA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TERADATA 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 TERADATA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TERADATA has no effect on the direction of Science Applications i.e., Science Applications and TERADATA go up and down completely randomly.
Pair Corralation between Science Applications and TERADATA
Assuming the 90 days trading horizon Science Applications International is expected to generate 0.89 times more return on investment than TERADATA. However, Science Applications International is 1.12 times less risky than TERADATA. It trades about 0.02 of its potential returns per unit of risk. TERADATA is currently generating about 0.0 per unit of risk. If you would invest 10,020 in Science Applications International on August 31, 2024 and sell it today you would earn a total of 1,480 from holding Science Applications International or generate 14.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Science Applications Internati vs. TERADATA
Performance |
Timeline |
Science Applications |
TERADATA |
Science Applications and TERADATA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Science Applications and TERADATA
The main advantage of trading using opposite Science Applications and TERADATA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Science Applications position performs unexpectedly, TERADATA 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 TERADATA will offset losses from the drop in TERADATA's long position.Science Applications vs. Brockhaus Capital Management | Science Applications vs. STMICROELECTRONICS | Science Applications vs. Jupiter Fund Management | Science Applications vs. CEOTRONICS |
TERADATA vs. Hyster Yale Materials Handling | TERADATA vs. Martin Marietta Materials | TERADATA vs. Applied Materials | TERADATA vs. Sumitomo Rubber Industries |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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