Correlation Between QALA For and Credit Agricole
Can any of the company-specific risk be diversified away by investing in both QALA For and Credit Agricole 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 QALA For and Credit Agricole into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between QALA For Financial and Credit Agricole Egypt, you can compare the effects of market volatilities on QALA For and Credit Agricole 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 QALA For with a short position of Credit Agricole. Check out your portfolio center. Please also check ongoing floating volatility patterns of QALA For and Credit Agricole.
Diversification Opportunities for QALA For and Credit Agricole
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between QALA and Credit is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding QALA For Financial and Credit Agricole Egypt in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Agricole Egypt and QALA For 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 QALA For Financial are associated (or correlated) with Credit Agricole. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credit Agricole Egypt has no effect on the direction of QALA For i.e., QALA For and Credit Agricole go up and down completely randomly.
Pair Corralation between QALA For and Credit Agricole
Assuming the 90 days trading horizon QALA For is expected to generate 2.8 times less return on investment than Credit Agricole. In addition to that, QALA For is 1.23 times more volatile than Credit Agricole Egypt. It trades about 0.02 of its total potential returns per unit of risk. Credit Agricole Egypt is currently generating about 0.07 per unit of volatility. If you would invest 946.00 in Credit Agricole Egypt on October 7, 2024 and sell it today you would earn a total of 974.00 from holding Credit Agricole Egypt or generate 102.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
QALA For Financial vs. Credit Agricole Egypt
Performance |
Timeline |
QALA For Financial |
Credit Agricole Egypt |
QALA For and Credit Agricole Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QALA For and Credit Agricole
The main advantage of trading using opposite QALA For and Credit Agricole positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QALA For position performs unexpectedly, Credit Agricole 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 Credit Agricole will offset losses from the drop in Credit Agricole's long position.QALA For vs. Nile City Investment | QALA For vs. Mohandes Insurance | QALA For vs. Global Telecom Holding | QALA For vs. Saudi Egyptian Investment |
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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