Correlation Between Prizma Pres and Borlease Otomotiv
Can any of the company-specific risk be diversified away by investing in both Prizma Pres and Borlease Otomotiv 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 Prizma Pres and Borlease Otomotiv into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Prizma Pres Matbaacilik and Borlease Otomotiv AS, you can compare the effects of market volatilities on Prizma Pres and Borlease Otomotiv 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 Prizma Pres with a short position of Borlease Otomotiv. Check out your portfolio center. Please also check ongoing floating volatility patterns of Prizma Pres and Borlease Otomotiv.
Diversification Opportunities for Prizma Pres and Borlease Otomotiv
-0.87 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Prizma and Borlease is -0.87. Overlapping area represents the amount of risk that can be diversified away by holding Prizma Pres Matbaacilik and Borlease Otomotiv AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Borlease Otomotiv and Prizma Pres 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 Prizma Pres Matbaacilik are associated (or correlated) with Borlease Otomotiv. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Borlease Otomotiv has no effect on the direction of Prizma Pres i.e., Prizma Pres and Borlease Otomotiv go up and down completely randomly.
Pair Corralation between Prizma Pres and Borlease Otomotiv
Assuming the 90 days trading horizon Prizma Pres Matbaacilik is expected to under-perform the Borlease Otomotiv. In addition to that, Prizma Pres is 1.23 times more volatile than Borlease Otomotiv AS. It trades about -0.1 of its total potential returns per unit of risk. Borlease Otomotiv AS is currently generating about 0.1 per unit of volatility. If you would invest 3,822 in Borlease Otomotiv AS on October 7, 2024 and sell it today you would earn a total of 3,073 from holding Borlease Otomotiv AS or generate 80.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Prizma Pres Matbaacilik vs. Borlease Otomotiv AS
Performance |
Timeline |
Prizma Pres Matbaacilik |
Borlease Otomotiv |
Prizma Pres and Borlease Otomotiv Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Prizma Pres and Borlease Otomotiv
The main advantage of trading using opposite Prizma Pres and Borlease Otomotiv positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Prizma Pres position performs unexpectedly, Borlease Otomotiv 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 Borlease Otomotiv will offset losses from the drop in Borlease Otomotiv's long position.Prizma Pres vs. Aselsan Elektronik Sanayi | Prizma Pres vs. Turkiye Petrol Rafinerileri | Prizma Pres vs. Pegasus Hava Tasimaciligi | Prizma Pres vs. Turkiye Sise ve |
Borlease Otomotiv vs. Sodas Sodyum Sanayi | Borlease Otomotiv vs. MEGA METAL | Borlease Otomotiv vs. Politeknik Metal Sanayi | Borlease Otomotiv vs. KOC METALURJI |
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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