Correlation Between Kardemir Karabuk and Borusan Mannesmann
Can any of the company-specific risk be diversified away by investing in both Kardemir Karabuk and Borusan Mannesmann 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 Kardemir Karabuk and Borusan Mannesmann into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kardemir Karabuk Demir and Borusan Mannesmann Boru, you can compare the effects of market volatilities on Kardemir Karabuk and Borusan Mannesmann 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 Kardemir Karabuk with a short position of Borusan Mannesmann. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kardemir Karabuk and Borusan Mannesmann.
Diversification Opportunities for Kardemir Karabuk and Borusan Mannesmann
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Kardemir and Borusan is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Kardemir Karabuk Demir and Borusan Mannesmann Boru in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Borusan Mannesmann Boru and Kardemir Karabuk 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 Kardemir Karabuk Demir are associated (or correlated) with Borusan Mannesmann. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Borusan Mannesmann Boru has no effect on the direction of Kardemir Karabuk i.e., Kardemir Karabuk and Borusan Mannesmann go up and down completely randomly.
Pair Corralation between Kardemir Karabuk and Borusan Mannesmann
Assuming the 90 days trading horizon Kardemir Karabuk Demir is expected to generate 0.92 times more return on investment than Borusan Mannesmann. However, Kardemir Karabuk Demir is 1.08 times less risky than Borusan Mannesmann. It trades about 0.07 of its potential returns per unit of risk. Borusan Mannesmann Boru is currently generating about -0.05 per unit of risk. If you would invest 2,578 in Kardemir Karabuk Demir on September 24, 2024 and sell it today you would earn a total of 218.00 from holding Kardemir Karabuk Demir or generate 8.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kardemir Karabuk Demir vs. Borusan Mannesmann Boru
Performance |
Timeline |
Kardemir Karabuk Demir |
Borusan Mannesmann Boru |
Kardemir Karabuk and Borusan Mannesmann Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kardemir Karabuk and Borusan Mannesmann
The main advantage of trading using opposite Kardemir Karabuk and Borusan Mannesmann positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kardemir Karabuk position performs unexpectedly, Borusan Mannesmann 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 Borusan Mannesmann will offset losses from the drop in Borusan Mannesmann's long position.Kardemir Karabuk vs. Ege Endustri ve | Kardemir Karabuk vs. Bosch Fren Sistemleri | Kardemir Karabuk vs. Dogus Otomotiv Servis | Kardemir Karabuk vs. Nuh Cimento 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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