Correlation Between SentinelOne and Smurfit Kappa
Can any of the company-specific risk be diversified away by investing in both SentinelOne and Smurfit Kappa 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 Smurfit Kappa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SentinelOne and Smurfit Kappa Group, you can compare the effects of market volatilities on SentinelOne and Smurfit Kappa 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 Smurfit Kappa. Check out your portfolio center. Please also check ongoing floating volatility patterns of SentinelOne and Smurfit Kappa.
Diversification Opportunities for SentinelOne and Smurfit Kappa
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SentinelOne and Smurfit is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding SentinelOne and Smurfit Kappa Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smurfit Kappa Group 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 Smurfit Kappa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smurfit Kappa Group has no effect on the direction of SentinelOne i.e., SentinelOne and Smurfit Kappa go up and down completely randomly.
Pair Corralation between SentinelOne and Smurfit Kappa
Taking into account the 90-day investment horizon SentinelOne is expected to generate 1.01 times more return on investment than Smurfit Kappa. However, SentinelOne is 1.01 times more volatile than Smurfit Kappa Group. It trades about -0.11 of its potential returns per unit of risk. Smurfit Kappa Group is currently generating about -0.12 per unit of risk. If you would invest 2,246 in SentinelOne on December 30, 2024 and sell it today you would lose (362.00) from holding SentinelOne or give up 16.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SentinelOne vs. Smurfit Kappa Group
Performance |
Timeline |
SentinelOne |
Smurfit Kappa Group |
SentinelOne and Smurfit Kappa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SentinelOne and Smurfit Kappa
The main advantage of trading using opposite SentinelOne and Smurfit Kappa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SentinelOne position performs unexpectedly, Smurfit Kappa 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 Smurfit Kappa will offset losses from the drop in Smurfit Kappa's long position.SentinelOne vs. Adobe Systems Incorporated | SentinelOne vs. Crowdstrike Holdings | SentinelOne vs. Zscaler | SentinelOne vs. Oracle |
Smurfit Kappa vs. Sealed Air | Smurfit Kappa vs. Avery Dennison Corp | Smurfit Kappa vs. International Paper | Smurfit Kappa vs. Sonoco Products |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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