Correlation Between Check Point and Lery Seafood
Can any of the company-specific risk be diversified away by investing in both Check Point and Lery Seafood 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 Lery Seafood 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 Lery Seafood Group, you can compare the effects of market volatilities on Check Point and Lery Seafood 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 Lery Seafood. Check out your portfolio center. Please also check ongoing floating volatility patterns of Check Point and Lery Seafood.
Diversification Opportunities for Check Point and Lery Seafood
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Check and Lery is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and Lery Seafood Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lery Seafood Group 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 Lery Seafood. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lery Seafood Group has no effect on the direction of Check Point i.e., Check Point and Lery Seafood go up and down completely randomly.
Pair Corralation between Check Point and Lery Seafood
Assuming the 90 days trading horizon Check Point Software is expected to generate 0.82 times more return on investment than Lery Seafood. However, Check Point Software is 1.21 times less risky than Lery Seafood. It trades about -0.06 of its potential returns per unit of risk. Lery Seafood Group is currently generating about -0.17 per unit of risk. If you would invest 17,805 in Check Point Software on October 10, 2024 and sell it today you would lose (270.00) from holding Check Point Software or give up 1.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Check Point Software vs. Lery Seafood Group
Performance |
Timeline |
Check Point Software |
Lery Seafood Group |
Check Point and Lery Seafood Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Check Point and Lery Seafood
The main advantage of trading using opposite Check Point and Lery Seafood positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Check Point position performs unexpectedly, Lery Seafood 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 Lery Seafood will offset losses from the drop in Lery Seafood's long position.Check Point vs. CITY OFFICE REIT | Check Point vs. MAVEN WIRELESS SWEDEN | Check Point vs. OFFICE DEPOT | Check Point vs. Alaska Air Group |
Lery Seafood vs. Mowi ASA | Lery Seafood vs. LEROY SEAFOOD GRUNSPADR | Lery Seafood vs. Yihai International Holding | Lery Seafood vs. Lery Seafood Group |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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