Correlation Between Check Point and FC Investment
Can any of the company-specific risk be diversified away by investing in both Check Point and FC Investment 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 FC Investment 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 FC Investment Trust, you can compare the effects of market volatilities on Check Point and FC Investment 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 FC Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Check Point and FC Investment.
Diversification Opportunities for Check Point and FC Investment
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Check and FCIT is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and FC Investment Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FC Investment Trust 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 FC Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FC Investment Trust has no effect on the direction of Check Point i.e., Check Point and FC Investment go up and down completely randomly.
Pair Corralation between Check Point and FC Investment
Assuming the 90 days trading horizon Check Point Software is expected to generate 1.97 times more return on investment than FC Investment. However, Check Point is 1.97 times more volatile than FC Investment Trust. It trades about 0.07 of its potential returns per unit of risk. FC Investment Trust is currently generating about 0.09 per unit of risk. If you would invest 14,989 in Check Point Software on September 13, 2024 and sell it today you would earn a total of 3,795 from holding Check Point Software or generate 25.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.8% |
Values | Daily Returns |
Check Point Software vs. FC Investment Trust
Performance |
Timeline |
Check Point Software |
FC Investment Trust |
Check Point and FC Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Check Point and FC Investment
The main advantage of trading using opposite Check Point and FC Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Check Point position performs unexpectedly, FC Investment 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 FC Investment will offset losses from the drop in FC Investment'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 |
FC Investment vs. Allianz Technology Trust | FC Investment vs. Public Storage | FC Investment vs. Ion Beam Applications | FC Investment 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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