Correlation Between CREDIT AGRICOLE and Check Point
Can any of the company-specific risk be diversified away by investing in both CREDIT AGRICOLE and Check Point 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 CREDIT AGRICOLE and Check Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CREDIT AGRICOLE and Check Point Software, you can compare the effects of market volatilities on CREDIT AGRICOLE and Check Point 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 CREDIT AGRICOLE with a short position of Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of CREDIT AGRICOLE and Check Point.
Diversification Opportunities for CREDIT AGRICOLE and Check Point
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between CREDIT and Check is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding CREDIT AGRICOLE and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software and CREDIT AGRICOLE 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 CREDIT AGRICOLE are associated (or correlated) with Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of CREDIT AGRICOLE i.e., CREDIT AGRICOLE and Check Point go up and down completely randomly.
Pair Corralation between CREDIT AGRICOLE and Check Point
Assuming the 90 days trading horizon CREDIT AGRICOLE is expected to under-perform the Check Point. But the stock apears to be less risky and, when comparing its historical volatility, CREDIT AGRICOLE is 1.97 times less risky than Check Point. The stock trades about -0.14 of its potential returns per unit of risk. The Check Point Software is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 19,140 in Check Point Software on September 23, 2024 and sell it today you would lose (1,045) from holding Check Point Software or give up 5.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CREDIT AGRICOLE vs. Check Point Software
Performance |
Timeline |
CREDIT AGRICOLE |
Check Point Software |
CREDIT AGRICOLE and Check Point Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CREDIT AGRICOLE and Check Point
The main advantage of trading using opposite CREDIT AGRICOLE and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CREDIT AGRICOLE position performs unexpectedly, Check Point 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 Check Point will offset losses from the drop in Check Point's long position.CREDIT AGRICOLE vs. Check Point Software | CREDIT AGRICOLE vs. United Airlines Holdings | CREDIT AGRICOLE vs. Constellation Software | CREDIT AGRICOLE vs. PSI Software AG |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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