Correlation Between Kardemir Karabuk and Borusan Yatirim
Can any of the company-specific risk be diversified away by investing in both Kardemir Karabuk and Borusan Yatirim 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 Yatirim 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 Yatirim ve, you can compare the effects of market volatilities on Kardemir Karabuk and Borusan Yatirim 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 Yatirim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kardemir Karabuk and Borusan Yatirim.
Diversification Opportunities for Kardemir Karabuk and Borusan Yatirim
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kardemir and Borusan is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Kardemir Karabuk Demir and Borusan Yatirim ve in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Borusan Yatirim ve 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 Yatirim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Borusan Yatirim ve has no effect on the direction of Kardemir Karabuk i.e., Kardemir Karabuk and Borusan Yatirim go up and down completely randomly.
Pair Corralation between Kardemir Karabuk and Borusan Yatirim
Assuming the 90 days trading horizon Kardemir Karabuk Demir is expected to generate 1.4 times more return on investment than Borusan Yatirim. However, Kardemir Karabuk is 1.4 times more volatile than Borusan Yatirim ve. It trades about 0.29 of its potential returns per unit of risk. Borusan Yatirim ve is currently generating about 0.14 per unit of risk. If you would invest 1,928 in Kardemir Karabuk Demir on September 12, 2024 and sell it today you would earn a total of 414.00 from holding Kardemir Karabuk Demir or generate 21.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kardemir Karabuk Demir vs. Borusan Yatirim ve
Performance |
| Timeline |
| Kardemir Karabuk Demir |
| Borusan Yatirim ve |
Kardemir Karabuk and Borusan Yatirim Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kardemir Karabuk and Borusan Yatirim
The main advantage of trading using opposite Kardemir Karabuk and Borusan Yatirim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kardemir Karabuk position performs unexpectedly, Borusan Yatirim 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 Yatirim will offset losses from the drop in Borusan Yatirim's long position.| Kardemir Karabuk vs. Turkish Airlines | Kardemir Karabuk vs. Datagate Bilgisayar Malzemeleri | Kardemir Karabuk vs. MEGA METAL | Kardemir Karabuk vs. Akbank TAS |
| Borusan Yatirim vs. MEGA METAL | Borusan Yatirim vs. Koza Anadolu Metal | Borusan Yatirim vs. Cuhadaroglu Metal Sanayi | Borusan Yatirim vs. Galatasaray Sportif Sinai |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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