Correlation Between Getty Realty and Sphere Entertainment
Can any of the company-specific risk be diversified away by investing in both Getty Realty and Sphere Entertainment 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 Sphere Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getty Realty and Sphere Entertainment Co, you can compare the effects of market volatilities on Getty Realty and Sphere Entertainment 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 Sphere Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getty Realty and Sphere Entertainment.
Diversification Opportunities for Getty Realty and Sphere Entertainment
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Getty and Sphere is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Getty Realty and Sphere Entertainment Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sphere Entertainment 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 Sphere Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sphere Entertainment has no effect on the direction of Getty Realty i.e., Getty Realty and Sphere Entertainment go up and down completely randomly.
Pair Corralation between Getty Realty and Sphere Entertainment
Considering the 90-day investment horizon Getty Realty is expected to generate 0.34 times more return on investment than Sphere Entertainment. However, Getty Realty is 2.97 times less risky than Sphere Entertainment. It trades about 0.06 of its potential returns per unit of risk. Sphere Entertainment Co is currently generating about -0.05 per unit of risk. If you would invest 3,139 in Getty Realty on September 12, 2024 and sell it today you would earn a total of 96.00 from holding Getty Realty or generate 3.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Getty Realty vs. Sphere Entertainment Co
Performance |
Timeline |
Getty Realty |
Sphere Entertainment |
Getty Realty and Sphere Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getty Realty and Sphere Entertainment
The main advantage of trading using opposite Getty Realty and Sphere Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getty Realty position performs unexpectedly, Sphere Entertainment 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 Sphere Entertainment will offset losses from the drop in Sphere Entertainment's 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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