Correlation Between Borlease Otomotiv and Trabzon Liman
Can any of the company-specific risk be diversified away by investing in both Borlease Otomotiv and Trabzon Liman 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 Trabzon Liman 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 Trabzon Liman Isletmeciligi, you can compare the effects of market volatilities on Borlease Otomotiv and Trabzon Liman 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 Trabzon Liman. Check out your portfolio center. Please also check ongoing floating volatility patterns of Borlease Otomotiv and Trabzon Liman.
Diversification Opportunities for Borlease Otomotiv and Trabzon Liman
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Borlease and Trabzon is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Borlease Otomotiv AS and Trabzon Liman Isletmeciligi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trabzon Liman Isletm 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 Trabzon Liman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trabzon Liman Isletm has no effect on the direction of Borlease Otomotiv i.e., Borlease Otomotiv and Trabzon Liman go up and down completely randomly.
Pair Corralation between Borlease Otomotiv and Trabzon Liman
Assuming the 90 days trading horizon Borlease Otomotiv AS is expected to generate 0.95 times more return on investment than Trabzon Liman. However, Borlease Otomotiv AS is 1.05 times less risky than Trabzon Liman. It trades about 0.11 of its potential returns per unit of risk. Trabzon Liman Isletmeciligi is currently generating about 0.05 per unit of risk. If you would invest 2,732 in Borlease Otomotiv AS on October 4, 2024 and sell it today you would earn a total of 4,108 from holding Borlease Otomotiv AS or generate 150.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 61.84% |
Values | Daily Returns |
Borlease Otomotiv AS vs. Trabzon Liman Isletmeciligi
Performance |
Timeline |
Borlease Otomotiv |
Trabzon Liman Isletm |
Borlease Otomotiv and Trabzon Liman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Borlease Otomotiv and Trabzon Liman
The main advantage of trading using opposite Borlease Otomotiv and Trabzon Liman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Borlease Otomotiv position performs unexpectedly, Trabzon Liman 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 Trabzon Liman will offset losses from the drop in Trabzon Liman's long position.Borlease Otomotiv vs. Turkish Airlines | Borlease Otomotiv vs. Eregli Demir ve | Borlease Otomotiv vs. Aselsan Elektronik Sanayi | Borlease Otomotiv 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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