Correlation Between Eregli Demir and Gentas Genel
Can any of the company-specific risk be diversified away by investing in both Eregli Demir 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 Eregli Demir and Gentas Genel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eregli Demir ve and Gentas Genel Metal, you can compare the effects of market volatilities on Eregli Demir 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 Eregli Demir with a short position of Gentas Genel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eregli Demir and Gentas Genel.
Diversification Opportunities for Eregli Demir and Gentas Genel
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Eregli and Gentas is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Eregli Demir ve 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 Eregli Demir 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 Eregli Demir ve 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 Eregli Demir i.e., Eregli Demir and Gentas Genel go up and down completely randomly.
Pair Corralation between Eregli Demir and Gentas Genel
Assuming the 90 days trading horizon Eregli Demir is expected to generate 1.15 times less return on investment than Gentas Genel. In addition to that, Eregli Demir is 1.54 times more volatile than Gentas Genel Metal. It trades about 0.03 of its total potential returns per unit of risk. Gentas Genel Metal is currently generating about 0.05 per unit of volatility. If you would invest 521.00 in Gentas Genel Metal on September 24, 2024 and sell it today you would earn a total of 422.00 from holding Gentas Genel Metal or generate 81.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Eregli Demir ve vs. Gentas Genel Metal
Performance |
Timeline |
Eregli Demir ve |
Gentas Genel Metal |
Eregli Demir and Gentas Genel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eregli Demir and Gentas Genel
The main advantage of trading using opposite Eregli Demir and Gentas Genel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eregli Demir 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.Eregli Demir vs. Ege Endustri ve | Eregli Demir vs. Bosch Fren Sistemleri | Eregli Demir vs. Dogus Otomotiv Servis | Eregli Demir vs. Nuh Cimento Sanayi |
Gentas Genel vs. Eregli Demir ve | Gentas Genel vs. Turkiye Petrol Rafinerileri | Gentas Genel vs. Turkish Airlines | Gentas Genel vs. Ford Otomotiv Sanayi |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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