Correlation Between SentinelOne and Axcelis Technologies
Can any of the company-specific risk be diversified away by investing in both SentinelOne and Axcelis Technologies 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 SentinelOne and Axcelis Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SentinelOne and Axcelis Technologies, you can compare the effects of market volatilities on SentinelOne and Axcelis Technologies 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 SentinelOne with a short position of Axcelis Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of SentinelOne and Axcelis Technologies.
Diversification Opportunities for SentinelOne and Axcelis Technologies
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SentinelOne and Axcelis is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding SentinelOne and Axcelis Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axcelis Technologies and SentinelOne 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 SentinelOne are associated (or correlated) with Axcelis Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Axcelis Technologies has no effect on the direction of SentinelOne i.e., SentinelOne and Axcelis Technologies go up and down completely randomly.
Pair Corralation between SentinelOne and Axcelis Technologies
Taking into account the 90-day investment horizon SentinelOne is expected to under-perform the Axcelis Technologies. But the stock apears to be less risky and, when comparing its historical volatility, SentinelOne is 1.13 times less risky than Axcelis Technologies. The stock trades about -0.07 of its potential returns per unit of risk. The Axcelis Technologies is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 6,215 in Axcelis Technologies on May 10, 2025 and sell it today you would earn a total of 1,357 from holding Axcelis Technologies or generate 21.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SentinelOne vs. Axcelis Technologies
Performance |
Timeline |
SentinelOne |
Axcelis Technologies |
SentinelOne and Axcelis Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SentinelOne and Axcelis Technologies
The main advantage of trading using opposite SentinelOne and Axcelis Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SentinelOne position performs unexpectedly, Axcelis Technologies 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 Axcelis Technologies will offset losses from the drop in Axcelis Technologies' long position.SentinelOne vs. Palantir Technologies Class | SentinelOne vs. Crowdstrike Holdings | SentinelOne vs. CoreWeave, Class A | SentinelOne vs. Palo Alto Networks |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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