Correlation Between Faisal Islamic and Cairo For
Can any of the company-specific risk be diversified away by investing in both Faisal Islamic and Cairo For 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 Faisal Islamic and Cairo For into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Faisal Islamic Bank and Cairo For Investment, you can compare the effects of market volatilities on Faisal Islamic and Cairo For 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 Faisal Islamic with a short position of Cairo For. Check out your portfolio center. Please also check ongoing floating volatility patterns of Faisal Islamic and Cairo For.
Diversification Opportunities for Faisal Islamic and Cairo For
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Faisal and Cairo is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Faisal Islamic Bank and Cairo For Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cairo For Investment and Faisal Islamic 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 Faisal Islamic Bank are associated (or correlated) with Cairo For. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cairo For Investment has no effect on the direction of Faisal Islamic i.e., Faisal Islamic and Cairo For go up and down completely randomly.
Pair Corralation between Faisal Islamic and Cairo For
Assuming the 90 days trading horizon Faisal Islamic Bank is expected to under-perform the Cairo For. But the stock apears to be less risky and, when comparing its historical volatility, Faisal Islamic Bank is 1.4 times less risky than Cairo For. The stock trades about -0.12 of its potential returns per unit of risk. The Cairo For Investment is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 1,469 in Cairo For Investment on December 30, 2024 and sell it today you would lose (39.00) from holding Cairo For Investment or give up 2.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Faisal Islamic Bank vs. Cairo For Investment
Performance |
Timeline |
Faisal Islamic Bank |
Cairo For Investment |
Faisal Islamic and Cairo For Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Faisal Islamic and Cairo For
The main advantage of trading using opposite Faisal Islamic and Cairo For positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Faisal Islamic position performs unexpectedly, Cairo For 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 Cairo For will offset losses from the drop in Cairo For's long position.Faisal Islamic vs. Egyptian Transport | Faisal Islamic vs. Cleopatra Hospital | Faisal Islamic vs. General Silos Storage | Faisal Islamic vs. Sidi Kerir Petrochemicals |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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