Correlation Between Vornado Realty and Boston Properties
Can any of the company-specific risk be diversified away by investing in both Vornado Realty and Boston Properties 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 Vornado Realty and Boston Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vornado Realty Trust and Boston Properties, you can compare the effects of market volatilities on Vornado Realty and Boston Properties 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 Vornado Realty with a short position of Boston Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vornado Realty and Boston Properties.
Diversification Opportunities for Vornado Realty and Boston Properties
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Vornado and Boston is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Vornado Realty Trust and Boston Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boston Properties and Vornado 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 Vornado Realty Trust are associated (or correlated) with Boston Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boston Properties has no effect on the direction of Vornado Realty i.e., Vornado Realty and Boston Properties go up and down completely randomly.
Pair Corralation between Vornado Realty and Boston Properties
Considering the 90-day investment horizon Vornado Realty Trust is expected to under-perform the Boston Properties. In addition to that, Vornado Realty is 1.24 times more volatile than Boston Properties. It trades about -0.06 of its total potential returns per unit of risk. Boston Properties is currently generating about -0.05 per unit of volatility. If you would invest 7,319 in Boston Properties on December 28, 2024 and sell it today you would lose (551.00) from holding Boston Properties or give up 7.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Vornado Realty Trust vs. Boston Properties
Performance |
Timeline |
Vornado Realty Trust |
Boston Properties |
Vornado Realty and Boston Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vornado Realty and Boston Properties
The main advantage of trading using opposite Vornado Realty and Boston Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vornado Realty position performs unexpectedly, Boston Properties 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 Boston Properties will offset losses from the drop in Boston Properties' long position.Vornado Realty vs. Boston Properties | Vornado Realty vs. Alexandria Real Estate | Vornado Realty vs. Brandywine Realty Trust | Vornado Realty vs. Hudson Pacific Properties |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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