Correlation Between EGX 33 and Golden Textiles

Can any of the company-specific risk be diversified away by investing in both EGX 33 and Golden Textiles 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 Golden Textiles 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 Golden Textiles Clothes, you can compare the effects of market volatilities on EGX 33 and Golden Textiles 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 Golden Textiles. Check out your portfolio center. Please also check ongoing floating volatility patterns of EGX 33 and Golden Textiles.

Diversification Opportunities for EGX 33 and Golden Textiles

0.52

Correlation Coefficient

EGX 33  Golden Textiles

Very weak diversification

The 3 months correlation between EGX and Golden is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding EGX 33 Shariah and Golden Textiles Clothes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden Textiles Clothes 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 Golden Textiles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden Textiles Clothes has no effect on the direction of EGX 33 i.e., EGX 33 and Golden Textiles go up and down completely randomly.

Pair Corralation between EGX 33 and Golden Textiles

Assuming the 90 days trading horizon EGX 33 Shariah is expected to under-perform the Golden Textiles. But the index apears to be less risky and, when comparing its historical volatility, EGX 33 Shariah is 3.13 times less risky than Golden Textiles. The index trades about -0.13 of its potential returns per unit of risk. The Golden Textiles Clothes is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  2,504  in Golden Textiles Clothes on October 7, 2024 and sell it today you would earn a total of  1.00  from holding Golden Textiles Clothes or generate 0.04% return on investment over 90 days.

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

EGX 33 Shariah  vs.  Golden Textiles Clothes

Pair Trading with EGX 33 and Golden Textiles

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

The idea behind EGX 33 Shariah and Golden Textiles Clothes 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .