Correlation Between BIM Birlesik and Deva Holding
Can any of the company-specific risk be diversified away by investing in both BIM Birlesik 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 BIM Birlesik and Deva Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BIM Birlesik Magazalar and Deva Holding AS, you can compare the effects of market volatilities on BIM Birlesik 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 BIM Birlesik with a short position of Deva Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIM Birlesik and Deva Holding.
Diversification Opportunities for BIM Birlesik and Deva Holding
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BIM and Deva is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding BIM Birlesik Magazalar 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 BIM Birlesik 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 BIM Birlesik Magazalar 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 BIM Birlesik i.e., BIM Birlesik and Deva Holding go up and down completely randomly.
Pair Corralation between BIM Birlesik and Deva Holding
Assuming the 90 days trading horizon BIM Birlesik Magazalar is expected to generate 0.89 times more return on investment than Deva Holding. However, BIM Birlesik Magazalar is 1.12 times less risky than Deva Holding. It trades about 0.12 of its potential returns per unit of risk. Deva Holding AS is currently generating about 0.04 per unit of risk. If you would invest 19,729 in BIM Birlesik Magazalar on September 12, 2024 and sell it today you would earn a total of 32,871 from holding BIM Birlesik Magazalar or generate 166.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BIM Birlesik Magazalar vs. Deva Holding AS
Performance |
Timeline |
BIM Birlesik Magazalar |
Deva Holding AS |
BIM Birlesik and Deva Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIM Birlesik and Deva Holding
The main advantage of trading using opposite BIM Birlesik and Deva Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIM Birlesik 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.BIM Birlesik vs. Eregli Demir ve | BIM Birlesik vs. Turkiye Petrol Rafinerileri | BIM Birlesik vs. Turkiye Sise ve | BIM Birlesik vs. Ford Otomotiv Sanayi |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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