Correlation Between CyberArk Software and SPS Commerce
Can any of the company-specific risk be diversified away by investing in both CyberArk Software and SPS Commerce 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 CyberArk Software and SPS Commerce into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CyberArk Software and SPS Commerce, you can compare the effects of market volatilities on CyberArk Software and SPS Commerce 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 CyberArk Software with a short position of SPS Commerce. Check out your portfolio center. Please also check ongoing floating volatility patterns of CyberArk Software and SPS Commerce.
Diversification Opportunities for CyberArk Software and SPS Commerce
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between CyberArk and SPS is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding CyberArk Software and SPS Commerce in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPS Commerce and CyberArk Software 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 CyberArk Software are associated (or correlated) with SPS Commerce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPS Commerce has no effect on the direction of CyberArk Software i.e., CyberArk Software and SPS Commerce go up and down completely randomly.
Pair Corralation between CyberArk Software and SPS Commerce
Given the investment horizon of 90 days CyberArk Software is expected to generate 1.07 times more return on investment than SPS Commerce. However, CyberArk Software is 1.07 times more volatile than SPS Commerce. It trades about 0.05 of its potential returns per unit of risk. SPS Commerce is currently generating about -0.2 per unit of risk. If you would invest 31,960 in CyberArk Software on December 29, 2024 and sell it today you would earn a total of 2,161 from holding CyberArk Software or generate 6.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CyberArk Software vs. SPS Commerce
Performance |
Timeline |
CyberArk Software |
SPS Commerce |
CyberArk Software and SPS Commerce Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CyberArk Software and SPS Commerce
The main advantage of trading using opposite CyberArk Software and SPS Commerce positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CyberArk Software position performs unexpectedly, SPS Commerce 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 SPS Commerce will offset losses from the drop in SPS Commerce's long position.CyberArk Software vs. F5 Networks | CyberArk Software vs. Qualys Inc | CyberArk Software vs. VeriSign | CyberArk Software vs. Amdocs |
SPS Commerce vs. Tenable Holdings | SPS Commerce vs. Rapid7 Inc | SPS Commerce vs. F5 Networks | SPS Commerce vs. Check Point Software |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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