Correlation Between Agilent Technologies and Oracle
Can any of the company-specific risk be diversified away by investing in both Agilent Technologies and Oracle 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 Agilent Technologies and Oracle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agilent Technologies and Oracle, you can compare the effects of market volatilities on Agilent Technologies and Oracle 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 Agilent Technologies with a short position of Oracle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agilent Technologies and Oracle.
Diversification Opportunities for Agilent Technologies and Oracle
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Agilent and Oracle is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Agilent Technologies and Oracle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oracle and Agilent Technologies 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 Agilent Technologies are associated (or correlated) with Oracle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oracle has no effect on the direction of Agilent Technologies i.e., Agilent Technologies and Oracle go up and down completely randomly.
Pair Corralation between Agilent Technologies and Oracle
Assuming the 90 days trading horizon Agilent Technologies is expected to generate 11.85 times less return on investment than Oracle. But when comparing it to its historical volatility, Agilent Technologies is 2.13 times less risky than Oracle. It trades about 0.05 of its potential returns per unit of risk. Oracle is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 14,858 in Oracle on May 21, 2025 and sell it today you would earn a total of 7,636 from holding Oracle or generate 51.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Agilent Technologies vs. Oracle
Performance |
| Timeline |
| Agilent Technologies |
| Oracle |
Agilent Technologies and Oracle Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Agilent Technologies and Oracle
The main advantage of trading using opposite Agilent Technologies and Oracle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agilent Technologies position performs unexpectedly, Oracle 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 Oracle will offset losses from the drop in Oracle's long position.| Agilent Technologies vs. Patria Investments Limited | Agilent Technologies vs. Host Hotels Resorts, | Agilent Technologies vs. Charter Communications | Agilent Technologies vs. Unifique Telecomunicaes SA |
| Oracle vs. Taiwan Semiconductor Manufacturing | Oracle vs. SSC Technologies Holdings, | Oracle vs. Agilent Technologies | Oracle vs. Ares Management |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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