Correlation Between Getty Realty and Eurobank Ergasias
Can any of the company-specific risk be diversified away by investing in both Getty Realty and Eurobank Ergasias 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 Getty Realty and Eurobank Ergasias into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getty Realty and Eurobank Ergasias Services, you can compare the effects of market volatilities on Getty Realty and Eurobank Ergasias 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 Getty Realty with a short position of Eurobank Ergasias. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getty Realty and Eurobank Ergasias.
Diversification Opportunities for Getty Realty and Eurobank Ergasias
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Getty and Eurobank is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Getty Realty and Eurobank Ergasias Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eurobank Ergasias and Getty Realty 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 Getty Realty are associated (or correlated) with Eurobank Ergasias. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eurobank Ergasias has no effect on the direction of Getty Realty i.e., Getty Realty and Eurobank Ergasias go up and down completely randomly.
Pair Corralation between Getty Realty and Eurobank Ergasias
Considering the 90-day investment horizon Getty Realty is expected to generate 6.36 times less return on investment than Eurobank Ergasias. But when comparing it to its historical volatility, Getty Realty is 1.97 times less risky than Eurobank Ergasias. It trades about 0.03 of its potential returns per unit of risk. Eurobank Ergasias Services is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 224.00 in Eurobank Ergasias Services on December 20, 2024 and sell it today you would earn a total of 22.00 from holding Eurobank Ergasias Services or generate 9.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 76.67% |
Values | Daily Returns |
Getty Realty vs. Eurobank Ergasias Services
Performance |
Timeline |
Getty Realty |
Eurobank Ergasias |
Getty Realty and Eurobank Ergasias Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getty Realty and Eurobank Ergasias
The main advantage of trading using opposite Getty Realty and Eurobank Ergasias positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getty Realty position performs unexpectedly, Eurobank Ergasias 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 Eurobank Ergasias will offset losses from the drop in Eurobank Ergasias' long position.Getty Realty vs. Regency Centers | Getty Realty vs. Site Centers Corp | Getty Realty vs. Brixmor Property | Getty Realty vs. Tanger Factory Outlet |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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