Correlation Between Golden Textiles and Atlas For
Can any of the company-specific risk be diversified away by investing in both Golden Textiles and Atlas 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 Golden Textiles and Atlas For into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Golden Textiles Clothes and Atlas For Investment, you can compare the effects of market volatilities on Golden Textiles and Atlas 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 Golden Textiles with a short position of Atlas For. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golden Textiles and Atlas For.
Diversification Opportunities for Golden Textiles and Atlas For
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Golden and Atlas is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Golden Textiles Clothes and Atlas For Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atlas For Investment and Golden Textiles 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 Golden Textiles Clothes are associated (or correlated) with Atlas For. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atlas For Investment has no effect on the direction of Golden Textiles i.e., Golden Textiles and Atlas For go up and down completely randomly.
Pair Corralation between Golden Textiles and Atlas For
Assuming the 90 days trading horizon Golden Textiles is expected to generate 1.02 times less return on investment than Atlas For. In addition to that, Golden Textiles is 3.33 times more volatile than Atlas For Investment. It trades about 0.06 of its total potential returns per unit of risk. Atlas For Investment is currently generating about 0.2 per unit of volatility. If you would invest 74.00 in Atlas For Investment on August 30, 2024 and sell it today you would earn a total of 7.00 from holding Atlas For Investment or generate 9.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Golden Textiles Clothes vs. Atlas For Investment
Performance |
Timeline |
Golden Textiles Clothes |
Atlas For Investment |
Golden Textiles and Atlas For Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Golden Textiles and Atlas For
The main advantage of trading using opposite Golden Textiles and Atlas For positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golden Textiles position performs unexpectedly, Atlas 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 Atlas For will offset losses from the drop in Atlas For's long position.Golden Textiles vs. Paint Chemicals Industries | Golden Textiles vs. Misr Oils Soap | Golden Textiles vs. Global Telecom Holding | Golden Textiles vs. Qatar Natl Bank |
Atlas For vs. Paint Chemicals Industries | Atlas For vs. Misr Oils Soap | Atlas For vs. Global Telecom Holding | Atlas For vs. Qatar Natl Bank |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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