Correlation Between Check Point and Gamma Communications
Can any of the company-specific risk be diversified away by investing in both Check Point and Gamma Communications 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 Check Point and Gamma Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Check Point Software and Gamma Communications PLC, you can compare the effects of market volatilities on Check Point and Gamma Communications 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 Check Point with a short position of Gamma Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Check Point and Gamma Communications.
Diversification Opportunities for Check Point and Gamma Communications
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Check and Gamma is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and Gamma Communications PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gamma Communications PLC and Check Point 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 Check Point Software are associated (or correlated) with Gamma Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gamma Communications PLC has no effect on the direction of Check Point i.e., Check Point and Gamma Communications go up and down completely randomly.
Pair Corralation between Check Point and Gamma Communications
Assuming the 90 days trading horizon Check Point Software is expected to generate 0.98 times more return on investment than Gamma Communications. However, Check Point Software is 1.02 times less risky than Gamma Communications. It trades about 0.13 of its potential returns per unit of risk. Gamma Communications PLC is currently generating about -0.03 per unit of risk. If you would invest 21,321 in Check Point Software on December 5, 2024 and sell it today you would earn a total of 671.00 from holding Check Point Software or generate 3.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Check Point Software vs. Gamma Communications PLC
Performance |
Timeline |
Check Point Software |
Gamma Communications PLC |
Check Point and Gamma Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Check Point and Gamma Communications
The main advantage of trading using opposite Check Point and Gamma Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Check Point position performs unexpectedly, Gamma Communications 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 Gamma Communications will offset losses from the drop in Gamma Communications' long position.Check Point vs. Associated British Foods | Check Point vs. Gruppo MutuiOnline SpA | Check Point vs. Supermarket Income REIT | Check Point vs. Cairo Communication SpA |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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