Correlation Between Postal Realty and Mitsubishi UFJ
Can any of the company-specific risk be diversified away by investing in both Postal Realty and Mitsubishi UFJ 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 Postal Realty and Mitsubishi UFJ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Postal Realty Trust and Mitsubishi UFJ Lease, you can compare the effects of market volatilities on Postal Realty and Mitsubishi UFJ 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 Postal Realty with a short position of Mitsubishi UFJ. Check out your portfolio center. Please also check ongoing floating volatility patterns of Postal Realty and Mitsubishi UFJ.
Diversification Opportunities for Postal Realty and Mitsubishi UFJ
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Postal and Mitsubishi is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Postal Realty Trust and Mitsubishi UFJ Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsubishi UFJ Lease and Postal 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 Postal Realty Trust are associated (or correlated) with Mitsubishi UFJ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsubishi UFJ Lease has no effect on the direction of Postal Realty i.e., Postal Realty and Mitsubishi UFJ go up and down completely randomly.
Pair Corralation between Postal Realty and Mitsubishi UFJ
Given the investment horizon of 90 days Postal Realty Trust is expected to generate 0.43 times more return on investment than Mitsubishi UFJ. However, Postal Realty Trust is 2.34 times less risky than Mitsubishi UFJ. It trades about 0.07 of its potential returns per unit of risk. Mitsubishi UFJ Lease is currently generating about -0.02 per unit of risk. If you would invest 1,304 in Postal Realty Trust on September 3, 2024 and sell it today you would earn a total of 111.00 from holding Postal Realty Trust or generate 8.51% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 99.21% |
| Values | Daily Returns |
Postal Realty Trust vs. Mitsubishi UFJ Lease
Performance |
| Timeline |
| Postal Realty Trust |
| Mitsubishi UFJ Lease |
Postal Realty and Mitsubishi UFJ Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Postal Realty and Mitsubishi UFJ
The main advantage of trading using opposite Postal Realty and Mitsubishi UFJ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Postal Realty position performs unexpectedly, Mitsubishi UFJ 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 Mitsubishi UFJ will offset losses from the drop in Mitsubishi UFJ's long position.| Postal Realty vs. Office Properties Income | Postal Realty vs. SL Green Realty | Postal Realty vs. Highwoods Properties | Postal Realty vs. Equity Commonwealth |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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