Correlation Between Soktas Tekstil and Cuhadaroglu Metal
Can any of the company-specific risk be diversified away by investing in both Soktas Tekstil and Cuhadaroglu Metal 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 Soktas Tekstil and Cuhadaroglu Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Soktas Tekstil Sanayi and Cuhadaroglu Metal Sanayi, you can compare the effects of market volatilities on Soktas Tekstil and Cuhadaroglu Metal 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 Soktas Tekstil with a short position of Cuhadaroglu Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Soktas Tekstil and Cuhadaroglu Metal.
Diversification Opportunities for Soktas Tekstil and Cuhadaroglu Metal
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Soktas and Cuhadaroglu is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Soktas Tekstil Sanayi and Cuhadaroglu Metal Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cuhadaroglu Metal Sanayi and Soktas Tekstil 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 Soktas Tekstil Sanayi are associated (or correlated) with Cuhadaroglu Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cuhadaroglu Metal Sanayi has no effect on the direction of Soktas Tekstil i.e., Soktas Tekstil and Cuhadaroglu Metal go up and down completely randomly.
Pair Corralation between Soktas Tekstil and Cuhadaroglu Metal
Assuming the 90 days trading horizon Soktas Tekstil Sanayi is expected to generate 1.02 times more return on investment than Cuhadaroglu Metal. However, Soktas Tekstil is 1.02 times more volatile than Cuhadaroglu Metal Sanayi. It trades about -0.16 of its potential returns per unit of risk. Cuhadaroglu Metal Sanayi is currently generating about -0.2 per unit of risk. If you would invest 529.00 in Soktas Tekstil Sanayi on December 25, 2024 and sell it today you would lose (138.00) from holding Soktas Tekstil Sanayi or give up 26.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Soktas Tekstil Sanayi vs. Cuhadaroglu Metal Sanayi
Performance |
Timeline |
Soktas Tekstil Sanayi |
Cuhadaroglu Metal Sanayi |
Soktas Tekstil and Cuhadaroglu Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Soktas Tekstil and Cuhadaroglu Metal
The main advantage of trading using opposite Soktas Tekstil and Cuhadaroglu Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Soktas Tekstil position performs unexpectedly, Cuhadaroglu Metal 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 Cuhadaroglu Metal will offset losses from the drop in Cuhadaroglu Metal's long position.Soktas Tekstil vs. Turkish Airlines | Soktas Tekstil vs. Mackolik Internet Hizmetleri | Soktas Tekstil vs. Gentas Genel Metal | Soktas Tekstil vs. Koza Anadolu Metal |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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