Correlation Between Getty Realty and Dream Finders
Can any of the company-specific risk be diversified away by investing in both Getty Realty and Dream Finders 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 Dream Finders into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getty Realty and Dream Finders Homes, you can compare the effects of market volatilities on Getty Realty and Dream Finders 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 Dream Finders. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getty Realty and Dream Finders.
Diversification Opportunities for Getty Realty and Dream Finders
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Getty and Dream is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Getty Realty and Dream Finders Homes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dream Finders Homes 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 Dream Finders. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dream Finders Homes has no effect on the direction of Getty Realty i.e., Getty Realty and Dream Finders go up and down completely randomly.
Pair Corralation between Getty Realty and Dream Finders
Considering the 90-day investment horizon Getty Realty is expected to generate 13.54 times less return on investment than Dream Finders. But when comparing it to its historical volatility, Getty Realty is 3.06 times less risky than Dream Finders. It trades about 0.01 of its potential returns per unit of risk. Dream Finders Homes is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,159 in Dream Finders Homes on August 31, 2024 and sell it today you would earn a total of 1,168 from holding Dream Finders Homes or generate 54.1% 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. Dream Finders Homes
Performance |
| Timeline |
| Getty Realty |
| Dream Finders Homes |
Getty Realty and Dream Finders Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Getty Realty and Dream Finders
The main advantage of trading using opposite Getty Realty and Dream Finders positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getty Realty position performs unexpectedly, Dream Finders 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 Dream Finders will offset losses from the drop in Dream Finders' long position.| Getty Realty vs. Regency Centers | Getty Realty vs. Site Centers Corp | Getty Realty vs. Brixmor Property | Getty Realty vs. Tanger Factory Outlet |
| Dream Finders vs. Hovnanian Enterprises | Dream Finders vs. Taylor Morn Home | Dream Finders vs. KB Home | Dream Finders vs. MI Homes |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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