Correlation Between Misr National and Egyptian Chemical
Can any of the company-specific risk be diversified away by investing in both Misr National and Egyptian Chemical 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 National and Egyptian Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Misr National Steel and Egyptian Chemical Industries, you can compare the effects of market volatilities on Misr National and Egyptian Chemical 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 National with a short position of Egyptian Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Misr National and Egyptian Chemical.
Diversification Opportunities for Misr National and Egyptian Chemical
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Misr and Egyptian is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Misr National Steel and Egyptian Chemical Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Egyptian Chemical and Misr National 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 National Steel are associated (or correlated) with Egyptian Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Egyptian Chemical has no effect on the direction of Misr National i.e., Misr National and Egyptian Chemical go up and down completely randomly.
Pair Corralation between Misr National and Egyptian Chemical
Assuming the 90 days trading horizon Misr National Steel is expected to generate 1.96 times more return on investment than Egyptian Chemical. However, Misr National is 1.96 times more volatile than Egyptian Chemical Industries. It trades about 0.14 of its potential returns per unit of risk. Egyptian Chemical Industries is currently generating about -0.12 per unit of risk. If you would invest 454.00 in Misr National Steel on September 17, 2024 and sell it today you would earn a total of 90.00 from holding Misr National Steel or generate 19.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Misr National Steel vs. Egyptian Chemical Industries
Performance |
Timeline |
Misr National Steel |
Egyptian Chemical |
Misr National and Egyptian Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Misr National and Egyptian Chemical
The main advantage of trading using opposite Misr National and Egyptian Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Misr National position performs unexpectedly, Egyptian Chemical 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 Egyptian Chemical will offset losses from the drop in Egyptian Chemical's long position.Misr National vs. Paint Chemicals Industries | Misr National vs. Reacap Financial Investments | Misr National vs. Egyptians For Investment | Misr National vs. Misr Oils Soap |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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