Correlation Between Apple and SentinelOne
Can any of the company-specific risk be diversified away by investing in both Apple 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 Apple and SentinelOne into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and SentinelOne, you can compare the effects of market volatilities on Apple 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 Apple with a short position of SentinelOne. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and SentinelOne.
Diversification Opportunities for Apple and SentinelOne
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Apple and SentinelOne is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and SentinelOne in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SentinelOne and Apple 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 Apple Inc 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 Apple i.e., Apple and SentinelOne go up and down completely randomly.
Pair Corralation between Apple and SentinelOne
Given the investment horizon of 90 days Apple is expected to generate 3.01 times less return on investment than SentinelOne. But when comparing it to its historical volatility, Apple Inc is 2.3 times less risky than SentinelOne. It trades about 0.04 of its potential returns per unit of risk. SentinelOne is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,465 in SentinelOne on November 8, 2024 and sell it today you would earn a total of 919.00 from holding SentinelOne or generate 62.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Apple Inc vs. SentinelOne
Performance |
| Timeline |
| Apple Inc |
| SentinelOne |
Apple and SentinelOne Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Apple and SentinelOne
The main advantage of trading using opposite Apple and SentinelOne positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple 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.The idea behind Apple Inc and SentinelOne pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| SentinelOne vs. Crowdstrike Holdings | SentinelOne vs. Okta Inc | SentinelOne vs. Cloudflare | SentinelOne vs. MongoDB |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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