Correlation Between Getty Realty and Latamgrowth SPAC
Can any of the company-specific risk be diversified away by investing in both Getty Realty and Latamgrowth SPAC 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 Latamgrowth SPAC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getty Realty and Latamgrowth SPAC Unit, you can compare the effects of market volatilities on Getty Realty and Latamgrowth SPAC 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 Latamgrowth SPAC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getty Realty and Latamgrowth SPAC.
Diversification Opportunities for Getty Realty and Latamgrowth SPAC
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Getty and Latamgrowth is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Getty Realty and Latamgrowth SPAC Unit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Latamgrowth SPAC Unit 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 Latamgrowth SPAC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Latamgrowth SPAC Unit has no effect on the direction of Getty Realty i.e., Getty Realty and Latamgrowth SPAC go up and down completely randomly.
Pair Corralation between Getty Realty and Latamgrowth SPAC
Considering the 90-day investment horizon Getty Realty is expected to under-perform the Latamgrowth SPAC. But the stock apears to be less risky and, when comparing its historical volatility, Getty Realty is 4.84 times less risky than Latamgrowth SPAC. The stock trades about -0.12 of its potential returns per unit of risk. The Latamgrowth SPAC Unit is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1,163 in Latamgrowth SPAC Unit on October 26, 2024 and sell it today you would lose (18.00) from holding Latamgrowth SPAC Unit or give up 1.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 89.74% |
Values | Daily Returns |
Getty Realty vs. Latamgrowth SPAC Unit
Performance |
Timeline |
Getty Realty |
Latamgrowth SPAC Unit |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Weak
Getty Realty and Latamgrowth SPAC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getty Realty and Latamgrowth SPAC
The main advantage of trading using opposite Getty Realty and Latamgrowth SPAC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getty Realty position performs unexpectedly, Latamgrowth SPAC 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 Latamgrowth SPAC will offset losses from the drop in Latamgrowth SPAC'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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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