Correlation Between SentinelOne and Solid Power
Can any of the company-specific risk be diversified away by investing in both SentinelOne and Solid Power 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 Solid Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SentinelOne and Solid Power, you can compare the effects of market volatilities on SentinelOne and Solid Power 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 Solid Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of SentinelOne and Solid Power.
Diversification Opportunities for SentinelOne and Solid Power
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SentinelOne and Solid is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding SentinelOne and Solid Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solid Power 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 Solid Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solid Power has no effect on the direction of SentinelOne i.e., SentinelOne and Solid Power go up and down completely randomly.
Pair Corralation between SentinelOne and Solid Power
Taking into account the 90-day investment horizon SentinelOne is expected to under-perform the Solid Power. But the stock apears to be less risky and, when comparing its historical volatility, SentinelOne is 4.45 times less risky than Solid Power. The stock trades about -0.09 of its potential returns per unit of risk. The Solid Power is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 17.00 in Solid Power on May 16, 2025 and sell it today you would earn a total of 57.00 from holding Solid Power or generate 335.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SentinelOne vs. Solid Power
Performance |
Timeline |
SentinelOne |
Solid Power |
SentinelOne and Solid Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SentinelOne and Solid Power
The main advantage of trading using opposite SentinelOne and Solid Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SentinelOne position performs unexpectedly, Solid Power 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 Solid Power will offset losses from the drop in Solid Power's long position.SentinelOne vs. Alarum Technologies | SentinelOne vs. Tenable Holdings | SentinelOne vs. Rackspace Technology | SentinelOne vs. CiT Inc |
Solid Power vs. Solid Power | Solid Power vs. Microvast Holdings | Solid Power vs. Corporate Universe | Solid Power vs. Magnis Energy Technologies |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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