Correlation Between LGI Homes and Postal Realty
Can any of the company-specific risk be diversified away by investing in both LGI Homes and Postal 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 LGI Homes and Postal Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LGI Homes and Postal Realty Trust, you can compare the effects of market volatilities on LGI Homes and Postal 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 LGI Homes with a short position of Postal Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of LGI Homes and Postal Realty.
Diversification Opportunities for LGI Homes and Postal Realty
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between LGI and Postal is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding LGI Homes and Postal Realty Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Postal Realty Trust and LGI Homes 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 LGI Homes are associated (or correlated) with Postal Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Postal Realty Trust has no effect on the direction of LGI Homes i.e., LGI Homes and Postal Realty go up and down completely randomly.
Pair Corralation between LGI Homes and Postal Realty
Given the investment horizon of 90 days LGI Homes is expected to generate 1.99 times more return on investment than Postal Realty. However, LGI Homes is 1.99 times more volatile than Postal Realty Trust. It trades about 0.16 of its potential returns per unit of risk. Postal Realty Trust is currently generating about -0.03 per unit of risk. If you would invest 10,156 in LGI Homes on September 1, 2024 and sell it today you would earn a total of 793.00 from holding LGI Homes or generate 7.81% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
LGI Homes vs. Postal Realty Trust
Performance |
| Timeline |
| LGI Homes |
| Postal Realty Trust |
LGI Homes and Postal Realty Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with LGI Homes and Postal Realty
The main advantage of trading using opposite LGI Homes and Postal Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LGI Homes position performs unexpectedly, Postal 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 Postal Realty will offset losses from the drop in Postal Realty's long position.| LGI Homes vs. MI Homes | LGI Homes vs. Taylor Morn Home | LGI Homes vs. TRI Pointe Homes | LGI Homes vs. Beazer Homes USA |
| Postal Realty vs. Douglas Emmett | Postal Realty vs. Kilroy Realty Corp | Postal Realty vs. Alexandria Real Estate | Postal Realty vs. Vornado Realty Trust |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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