Correlation Between Logan Ridge and Getty Realty
Can any of the company-specific risk be diversified away by investing in both Logan Ridge and Getty Realty 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 Logan Ridge and Getty Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Logan Ridge Finance and Getty Realty, you can compare the effects of market volatilities on Logan Ridge and Getty Realty 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 Logan Ridge with a short position of Getty Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Logan Ridge and Getty Realty.
Diversification Opportunities for Logan Ridge and Getty Realty
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Logan and Getty is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Logan Ridge Finance and Getty Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Realty and Logan Ridge 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 Logan Ridge Finance are associated (or correlated) with Getty Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Realty has no effect on the direction of Logan Ridge i.e., Logan Ridge and Getty Realty go up and down completely randomly.
Pair Corralation between Logan Ridge and Getty Realty
Given the investment horizon of 90 days Logan Ridge Finance is expected to generate 0.95 times more return on investment than Getty Realty. However, Logan Ridge Finance is 1.05 times less risky than Getty Realty. It trades about 0.03 of its potential returns per unit of risk. Getty Realty is currently generating about -0.05 per unit of risk. If you would invest 2,447 in Logan Ridge Finance on October 7, 2024 and sell it today you would earn a total of 31.00 from holding Logan Ridge Finance or generate 1.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Logan Ridge Finance vs. Getty Realty
Performance |
Timeline |
Logan Ridge Finance |
Getty Realty |
Logan Ridge and Getty Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Logan Ridge and Getty Realty
The main advantage of trading using opposite Logan Ridge and Getty Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Logan Ridge position performs unexpectedly, Getty Realty 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 Getty Realty will offset losses from the drop in Getty Realty's long position.Logan Ridge vs. Badger Infrastructure Solutions | Logan Ridge vs. Portman Ridge Finance | Logan Ridge vs. Inotiv Inc | Logan Ridge vs. Phenixfin |
Getty Realty vs. CBL Associates Properties | Getty Realty vs. Cedar Realty Trust | Getty Realty vs. Macerich Company | Getty Realty vs. Simon Property Group |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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