Correlation Between Soktas Tekstil and Gentas Genel
Can any of the company-specific risk be diversified away by investing in both Soktas Tekstil and Gentas Genel 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 Gentas Genel 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 Gentas Genel Metal, you can compare the effects of market volatilities on Soktas Tekstil and Gentas Genel 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 Gentas Genel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Soktas Tekstil and Gentas Genel.
Diversification Opportunities for Soktas Tekstil and Gentas Genel
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Soktas and Gentas is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Soktas Tekstil Sanayi and Gentas Genel Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gentas Genel Metal 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 Gentas Genel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gentas Genel Metal has no effect on the direction of Soktas Tekstil i.e., Soktas Tekstil and Gentas Genel go up and down completely randomly.
Pair Corralation between Soktas Tekstil and Gentas Genel
Assuming the 90 days trading horizon Soktas Tekstil Sanayi is expected to under-perform the Gentas Genel. But the stock apears to be less risky and, when comparing its historical volatility, Soktas Tekstil Sanayi is 1.26 times less risky than Gentas Genel. The stock trades about -0.13 of its potential returns per unit of risk. The Gentas Genel Metal is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 959.00 in Gentas Genel Metal on December 23, 2024 and sell it today you would earn a total of 475.00 from holding Gentas Genel Metal or generate 49.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Soktas Tekstil Sanayi vs. Gentas Genel Metal
Performance |
Timeline |
Soktas Tekstil Sanayi |
Gentas Genel Metal |
Soktas Tekstil and Gentas Genel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Soktas Tekstil and Gentas Genel
The main advantage of trading using opposite Soktas Tekstil and Gentas Genel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Soktas Tekstil position performs unexpectedly, Gentas Genel 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 Gentas Genel will offset losses from the drop in Gentas Genel's long position.Soktas Tekstil vs. Datagate Bilgisayar Malzemeleri | Soktas Tekstil vs. KOC METALURJI | Soktas Tekstil vs. Trabzonspor Sportif Yatirim | Soktas Tekstil vs. Cuhadaroglu Metal Sanayi |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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