Correlation Between Borlease Otomotiv and Eminis Ambalaj
Can any of the company-specific risk be diversified away by investing in both Borlease Otomotiv and Eminis Ambalaj 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 Borlease Otomotiv and Eminis Ambalaj into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Borlease Otomotiv AS and Eminis Ambalaj Sanayi, you can compare the effects of market volatilities on Borlease Otomotiv and Eminis Ambalaj 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 Borlease Otomotiv with a short position of Eminis Ambalaj. Check out your portfolio center. Please also check ongoing floating volatility patterns of Borlease Otomotiv and Eminis Ambalaj.
Diversification Opportunities for Borlease Otomotiv and Eminis Ambalaj
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Borlease and Eminis is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Borlease Otomotiv AS and Eminis Ambalaj Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eminis Ambalaj Sanayi and Borlease Otomotiv 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 Borlease Otomotiv AS are associated (or correlated) with Eminis Ambalaj. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eminis Ambalaj Sanayi has no effect on the direction of Borlease Otomotiv i.e., Borlease Otomotiv and Eminis Ambalaj go up and down completely randomly.
Pair Corralation between Borlease Otomotiv and Eminis Ambalaj
Assuming the 90 days trading horizon Borlease Otomotiv AS is expected to generate 0.76 times more return on investment than Eminis Ambalaj. However, Borlease Otomotiv AS is 1.32 times less risky than Eminis Ambalaj. It trades about 0.26 of its potential returns per unit of risk. Eminis Ambalaj Sanayi is currently generating about -0.11 per unit of risk. If you would invest 6,480 in Borlease Otomotiv AS on October 26, 2024 and sell it today you would earn a total of 725.00 from holding Borlease Otomotiv AS or generate 11.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Borlease Otomotiv AS vs. Eminis Ambalaj Sanayi
Performance |
Timeline |
Borlease Otomotiv |
Eminis Ambalaj Sanayi |
Borlease Otomotiv and Eminis Ambalaj Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Borlease Otomotiv and Eminis Ambalaj
The main advantage of trading using opposite Borlease Otomotiv and Eminis Ambalaj positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Borlease Otomotiv position performs unexpectedly, Eminis Ambalaj 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 Eminis Ambalaj will offset losses from the drop in Eminis Ambalaj's long position.Borlease Otomotiv vs. Gentas Genel Metal | Borlease Otomotiv vs. Koza Anadolu Metal | Borlease Otomotiv vs. MEGA METAL | Borlease Otomotiv vs. ICBC Turkey Bank |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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