Correlation Between Misr Hotels and Credit Agricole
Can any of the company-specific risk be diversified away by investing in both Misr Hotels 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 Misr Hotels and Credit Agricole into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Misr Hotels and Credit Agricole Egypt, you can compare the effects of market volatilities on Misr Hotels 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 Misr Hotels with a short position of Credit Agricole. Check out your portfolio center. Please also check ongoing floating volatility patterns of Misr Hotels and Credit Agricole.
Diversification Opportunities for Misr Hotels and Credit Agricole
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Misr and Credit is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Misr Hotels 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 Misr Hotels 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 Misr Hotels 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 Misr Hotels i.e., Misr Hotels and Credit Agricole go up and down completely randomly.
Pair Corralation between Misr Hotels and Credit Agricole
Assuming the 90 days trading horizon Misr Hotels is expected to generate 2.26 times more return on investment than Credit Agricole. However, Misr Hotels is 2.26 times more volatile than Credit Agricole Egypt. It trades about 0.09 of its potential returns per unit of risk. Credit Agricole Egypt is currently generating about -0.05 per unit of risk. If you would invest 2,442 in Misr Hotels on September 28, 2024 and sell it today you would earn a total of 392.00 from holding Misr Hotels or generate 16.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Misr Hotels vs. Credit Agricole Egypt
Performance |
Timeline |
Misr Hotels |
Credit Agricole Egypt |
Misr Hotels and Credit Agricole Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Misr Hotels and Credit Agricole
The main advantage of trading using opposite Misr Hotels and Credit Agricole positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Misr Hotels 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.Misr Hotels vs. Memphis Pharmaceuticals | Misr Hotels vs. Paint Chemicals Industries | Misr Hotels vs. Egyptians For Investment | Misr Hotels vs. Global Telecom Holding |
Credit Agricole vs. Memphis Pharmaceuticals | Credit Agricole vs. Paint Chemicals Industries | Credit Agricole vs. Egyptians For Investment | Credit Agricole vs. Global Telecom Holding |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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