Correlation Between Borlease Otomotiv and Deva Holding
Can any of the company-specific risk be diversified away by investing in both Borlease Otomotiv and Deva Holding 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 Deva Holding 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 Deva Holding AS, you can compare the effects of market volatilities on Borlease Otomotiv and Deva Holding 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 Deva Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Borlease Otomotiv and Deva Holding.
Diversification Opportunities for Borlease Otomotiv and Deva Holding
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Borlease and Deva is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Borlease Otomotiv AS and Deva Holding AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deva Holding AS 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 Deva Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deva Holding AS has no effect on the direction of Borlease Otomotiv i.e., Borlease Otomotiv and Deva Holding go up and down completely randomly.
Pair Corralation between Borlease Otomotiv and Deva Holding
Assuming the 90 days trading horizon Borlease Otomotiv AS is expected to generate 1.11 times more return on investment than Deva Holding. However, Borlease Otomotiv is 1.11 times more volatile than Deva Holding AS. It trades about 0.11 of its potential returns per unit of risk. Deva Holding AS is currently generating about 0.03 per unit of risk. If you would invest 2,732 in Borlease Otomotiv AS on September 25, 2024 and sell it today you would earn a total of 3,993 from holding Borlease Otomotiv AS or generate 146.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 59.68% |
Values | Daily Returns |
Borlease Otomotiv AS vs. Deva Holding AS
Performance |
Timeline |
Borlease Otomotiv |
Deva Holding AS |
Borlease Otomotiv and Deva Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Borlease Otomotiv and Deva Holding
The main advantage of trading using opposite Borlease Otomotiv and Deva Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Borlease Otomotiv position performs unexpectedly, Deva Holding 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 Deva Holding will offset losses from the drop in Deva Holding's long position.Borlease Otomotiv vs. ICBC Turkey Bank | Borlease Otomotiv vs. Galatasaray Sportif Sinai | Borlease Otomotiv vs. Bms Birlesik Metal | Borlease Otomotiv vs. Creditwest Faktoring AS |
Deva Holding vs. Alkim Alkali Kimya | Deva Holding vs. EIS Eczacibasi Ilac | Deva Holding vs. Arcelik AS | Deva Holding vs. BIM Birlesik Magazalar |
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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