Correlation Between Oracle and SentinelOne
Can any of the company-specific risk be diversified away by investing in both Oracle and SentinelOne 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 Oracle and SentinelOne into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oracle and SentinelOne, you can compare the effects of market volatilities on Oracle and SentinelOne 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 Oracle with a short position of SentinelOne. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oracle and SentinelOne.
Diversification Opportunities for Oracle and SentinelOne
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Oracle and SentinelOne is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and SentinelOne in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SentinelOne and Oracle 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 Oracle are associated (or correlated) with SentinelOne. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SentinelOne has no effect on the direction of Oracle i.e., Oracle and SentinelOne go up and down completely randomly.
Pair Corralation between Oracle and SentinelOne
Given the investment horizon of 90 days Oracle is expected to generate 0.93 times more return on investment than SentinelOne. However, Oracle is 1.08 times less risky than SentinelOne. It trades about 0.3 of its potential returns per unit of risk. SentinelOne is currently generating about -0.11 per unit of risk. If you would invest 15,689 in Oracle on May 11, 2025 and sell it today you would earn a total of 9,316 from holding Oracle or generate 59.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oracle vs. SentinelOne
Performance |
Timeline |
Oracle |
SentinelOne |
Oracle and SentinelOne Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oracle and SentinelOne
The main advantage of trading using opposite Oracle and SentinelOne positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle position performs unexpectedly, SentinelOne 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 SentinelOne will offset losses from the drop in SentinelOne's long position.Oracle vs. Adobe Systems Incorporated | Oracle vs. Palo Alto Networks | Oracle vs. Crowdstrike Holdings | Oracle vs. Microsoft |
SentinelOne vs. Zscaler | SentinelOne vs. Cloudflare | SentinelOne vs. Crowdstrike Holdings | SentinelOne vs. Uipath Inc |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Other Complementary Tools
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |