Correlation Between El Ahli and Ismailia National
Can any of the company-specific risk be diversified away by investing in both El Ahli and Ismailia National 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 El Ahli and Ismailia National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between El Ahli Investment and Ismailia National Food, you can compare the effects of market volatilities on El Ahli and Ismailia National 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 El Ahli with a short position of Ismailia National. Check out your portfolio center. Please also check ongoing floating volatility patterns of El Ahli and Ismailia National.
Diversification Opportunities for El Ahli and Ismailia National
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between AFDI and Ismailia is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding El Ahli Investment and Ismailia National Food in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ismailia National Food and El Ahli 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 El Ahli Investment are associated (or correlated) with Ismailia National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ismailia National Food has no effect on the direction of El Ahli i.e., El Ahli and Ismailia National go up and down completely randomly.
Pair Corralation between El Ahli and Ismailia National
Assuming the 90 days trading horizon El Ahli Investment is expected to under-perform the Ismailia National. But the stock apears to be less risky and, when comparing its historical volatility, El Ahli Investment is 2.93 times less risky than Ismailia National. The stock trades about -0.05 of its potential returns per unit of risk. The Ismailia National Food is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 6,654 in Ismailia National Food on October 9, 2024 and sell it today you would earn a total of 2,621 from holding Ismailia National Food or generate 39.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
El Ahli Investment vs. Ismailia National Food
Performance |
Timeline |
El Ahli Investment |
Ismailia National Food |
El Ahli and Ismailia National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with El Ahli and Ismailia National
The main advantage of trading using opposite El Ahli and Ismailia National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if El Ahli position performs unexpectedly, Ismailia National 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 Ismailia National will offset losses from the drop in Ismailia National's long position.El Ahli vs. Odin for Investment | El Ahli vs. Arab Moltaka Investments | El Ahli vs. Egyptian Chemical Industries | El Ahli vs. Egyptian Media Production |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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