Correlation Between Check Point and Delta Air
Can any of the company-specific risk be diversified away by investing in both Check Point and Delta Air 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 Delta Air 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 Delta Air Lines, you can compare the effects of market volatilities on Check Point and Delta Air 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 Delta Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Check Point and Delta Air.
Diversification Opportunities for Check Point and Delta Air
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Check and Delta is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and Delta Air Lines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Delta Air Lines 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 Delta Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Delta Air Lines has no effect on the direction of Check Point i.e., Check Point and Delta Air go up and down completely randomly.
Pair Corralation between Check Point and Delta Air
Assuming the 90 days trading horizon Check Point is expected to generate 1.66 times less return on investment than Delta Air. But when comparing it to its historical volatility, Check Point Software is 1.43 times less risky than Delta Air. It trades about 0.06 of its potential returns per unit of risk. Delta Air Lines is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 3,237 in Delta Air Lines on September 20, 2024 and sell it today you would earn a total of 2,776 from holding Delta Air Lines or generate 85.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.57% |
| Values | Daily Returns |
Check Point Software vs. Delta Air Lines
Performance |
| Timeline |
| Check Point Software |
| Delta Air Lines |
Check Point and Delta Air Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Check Point and Delta Air
The main advantage of trading using opposite Check Point and Delta Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Check Point position performs unexpectedly, Delta Air 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 Delta Air will offset losses from the drop in Delta Air's long position.| Check Point vs. Toyota Motor Corp | Check Point vs. SoftBank Group Corp | Check Point vs. OTP Bank Nyrt | Check Point vs. Hershey Co |
| Delta Air vs. Samsung Electronics Co | Delta Air vs. Samsung Electronics Co | Delta Air vs. Hyundai Motor | Delta Air vs. Reliance Industries Ltd |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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