Correlation Between Brandywine Realty and MI Homes
Can any of the company-specific risk be diversified away by investing in both Brandywine Realty and MI Homes 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 Brandywine Realty and MI Homes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brandywine Realty Trust and MI Homes, you can compare the effects of market volatilities on Brandywine Realty and MI Homes 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 Brandywine Realty with a short position of MI Homes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brandywine Realty and MI Homes.
Diversification Opportunities for Brandywine Realty and MI Homes
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Brandywine and MHO is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Brandywine Realty Trust and MI Homes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MI Homes and Brandywine 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 Brandywine Realty Trust are associated (or correlated) with MI Homes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MI Homes has no effect on the direction of Brandywine Realty i.e., Brandywine Realty and MI Homes go up and down completely randomly.
Pair Corralation between Brandywine Realty and MI Homes
Considering the 90-day investment horizon Brandywine Realty is expected to generate 1.47 times less return on investment than MI Homes. But when comparing it to its historical volatility, Brandywine Realty Trust is 1.03 times less risky than MI Homes. It trades about 0.05 of its potential returns per unit of risk. MI Homes is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 11,446 in MI Homes on September 4, 2024 and sell it today you would earn a total of 5,351 from holding MI Homes or generate 46.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Brandywine Realty Trust vs. MI Homes
Performance |
Timeline |
Brandywine Realty Trust |
MI Homes |
Brandywine Realty and MI Homes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brandywine Realty and MI Homes
The main advantage of trading using opposite Brandywine Realty and MI Homes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brandywine Realty position performs unexpectedly, MI Homes 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 MI Homes will offset losses from the drop in MI Homes' long position.Brandywine Realty vs. Douglas Emmett | Brandywine Realty vs. Kilroy Realty Corp | Brandywine Realty vs. Piedmont Office Realty | Brandywine Realty vs. City Office |
MI Homes vs. TRI Pointe Homes | MI Homes vs. Beazer Homes USA | MI Homes vs. Century Communities | MI Homes vs. Meritage |
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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