Correlation Between EGX 33 and Egyptian Iron

Can any of the company-specific risk be diversified away by investing in both EGX 33 and Egyptian Iron 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 EGX 33 and Egyptian Iron into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between EGX 33 Shariah and Egyptian Iron Steel, you can compare the effects of market volatilities on EGX 33 and Egyptian Iron 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 EGX 33 with a short position of Egyptian Iron. Check out your portfolio center. Please also check ongoing floating volatility patterns of EGX 33 and Egyptian Iron.

Diversification Opportunities for EGX 33 and Egyptian Iron

0.1

Correlation Coefficient

EGX 33  Egyptian Iron

Average diversification

The 3 months correlation between EGX and Egyptian is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding EGX 33 Shariah and Egyptian Iron Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Egyptian Iron Steel and EGX 33 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 EGX 33 Shariah are associated (or correlated) with Egyptian Iron. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Egyptian Iron Steel has no effect on the direction of EGX 33 i.e., EGX 33 and Egyptian Iron go up and down completely randomly.

Pair Corralation between EGX 33 and Egyptian Iron

Assuming the 90 days trading horizon EGX 33 is expected to generate 3.53 times less return on investment than Egyptian Iron. But when comparing it to its historical volatility, EGX 33 Shariah is 3.3 times less risky than Egyptian Iron. It trades about 0.16 of its potential returns per unit of risk. Egyptian Iron Steel is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest  3,691  in Egyptian Iron Steel on September 16, 2024 and sell it today you would earn a total of  1,393  from holding Egyptian Iron Steel or generate 37.74% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

EGX 33 Shariah  vs.  Egyptian Iron Steel

Pair Trading with EGX 33 and Egyptian Iron

The main advantage of trading using opposite EGX 33 and Egyptian Iron positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EGX 33 position performs unexpectedly, Egyptian Iron 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 Iron will offset losses from the drop in Egyptian Iron's long position.

The idea behind EGX 33 Shariah and Egyptian Iron Steel pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.