Correlation Between Nexpoint Residential and Getty Realty
Can any of the company-specific risk be diversified away by investing in both Nexpoint Residential 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 Nexpoint Residential and Getty Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nexpoint Residential Trust and Getty Realty, you can compare the effects of market volatilities on Nexpoint Residential 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 Nexpoint Residential with a short position of Getty Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nexpoint Residential and Getty Realty.
Diversification Opportunities for Nexpoint Residential and Getty Realty
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Nexpoint and Getty is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Nexpoint Residential Trust and Getty Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Realty and Nexpoint Residential 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 Nexpoint Residential Trust 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 Nexpoint Residential i.e., Nexpoint Residential and Getty Realty go up and down completely randomly.
Pair Corralation between Nexpoint Residential and Getty Realty
Given the investment horizon of 90 days Nexpoint Residential Trust is expected to under-perform the Getty Realty. In addition to that, Nexpoint Residential is 1.79 times more volatile than Getty Realty. It trades about -0.03 of its total potential returns per unit of risk. Getty Realty is currently generating about -0.03 per unit of volatility. If you would invest 2,989 in Getty Realty on February 15, 2025 and sell it today you would lose (87.00) from holding Getty Realty or give up 2.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nexpoint Residential Trust vs. Getty Realty
Performance |
Timeline |
Nexpoint Residential |
Getty Realty |
Nexpoint Residential and Getty Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nexpoint Residential and Getty Realty
The main advantage of trading using opposite Nexpoint Residential and Getty Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nexpoint Residential 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.Nexpoint Residential vs. Independence Realty Trust | Nexpoint Residential vs. Community Healthcare Trust | Nexpoint Residential vs. Terreno Realty | Nexpoint Residential vs. National Storage Affiliates |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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