Correlation Between Prizma Pres and AG Anadolu
Can any of the company-specific risk be diversified away by investing in both Prizma Pres and AG Anadolu 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 AG Anadolu 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 AG Anadolu Group, you can compare the effects of market volatilities on Prizma Pres and AG Anadolu 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 AG Anadolu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Prizma Pres and AG Anadolu.
Diversification Opportunities for Prizma Pres and AG Anadolu
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Prizma and AGHOL is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Prizma Pres Matbaacilik and AG Anadolu Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AG Anadolu Group 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 AG Anadolu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AG Anadolu Group has no effect on the direction of Prizma Pres i.e., Prizma Pres and AG Anadolu go up and down completely randomly.
Pair Corralation between Prizma Pres and AG Anadolu
Assuming the 90 days trading horizon Prizma Pres Matbaacilik is expected to generate 3.0 times more return on investment than AG Anadolu. However, Prizma Pres is 3.0 times more volatile than AG Anadolu Group. It trades about 0.05 of its potential returns per unit of risk. AG Anadolu Group is currently generating about 0.1 per unit of risk. If you would invest 275.00 in Prizma Pres Matbaacilik on October 4, 2024 and sell it today you would earn a total of 437.00 from holding Prizma Pres Matbaacilik or generate 158.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Prizma Pres Matbaacilik vs. AG Anadolu Group
Performance |
Timeline |
Prizma Pres Matbaacilik |
AG Anadolu Group |
Prizma Pres and AG Anadolu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Prizma Pres and AG Anadolu
The main advantage of trading using opposite Prizma Pres and AG Anadolu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Prizma Pres position performs unexpectedly, AG Anadolu 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 AG Anadolu will offset losses from the drop in AG Anadolu's long position.Prizma Pres vs. Creditwest Faktoring AS | Prizma Pres vs. Silverline Endustri ve | Prizma Pres vs. Sekerbank TAS | Prizma Pres vs. Cuhadaroglu Metal Sanayi |
AG Anadolu vs. Silverline Endustri ve | AG Anadolu vs. Borlease Otomotiv AS | AG Anadolu vs. MEGA METAL | AG Anadolu vs. Cuhadaroglu Metal Sanayi |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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