Correlation Between AvalonBay Communities and BRT Realty
Can any of the company-specific risk be diversified away by investing in both AvalonBay Communities and BRT 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 AvalonBay Communities and BRT Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AvalonBay Communities and BRT Realty Trust, you can compare the effects of market volatilities on AvalonBay Communities and BRT 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 AvalonBay Communities with a short position of BRT Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of AvalonBay Communities and BRT Realty.
Diversification Opportunities for AvalonBay Communities and BRT Realty
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between AvalonBay and BRT is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding AvalonBay Communities and BRT Realty Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BRT Realty Trust and AvalonBay Communities 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 AvalonBay Communities are associated (or correlated) with BRT Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BRT Realty Trust has no effect on the direction of AvalonBay Communities i.e., AvalonBay Communities and BRT Realty go up and down completely randomly.
Pair Corralation between AvalonBay Communities and BRT Realty
Considering the 90-day investment horizon AvalonBay Communities is expected to generate 0.78 times more return on investment than BRT Realty. However, AvalonBay Communities is 1.28 times less risky than BRT Realty. It trades about -0.01 of its potential returns per unit of risk. BRT Realty Trust is currently generating about -0.08 per unit of risk. If you would invest 22,901 in AvalonBay Communities on December 2, 2024 and sell it today you would lose (283.00) from holding AvalonBay Communities or give up 1.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
AvalonBay Communities vs. BRT Realty Trust
Performance |
Timeline |
AvalonBay Communities |
BRT Realty Trust |
AvalonBay Communities and BRT Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AvalonBay Communities and BRT Realty
The main advantage of trading using opposite AvalonBay Communities and BRT Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AvalonBay Communities position performs unexpectedly, BRT 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 BRT Realty will offset losses from the drop in BRT Realty's long position.AvalonBay Communities vs. Essex Property Trust | AvalonBay Communities vs. UDR Inc | AvalonBay Communities vs. Mid America Apartment Communities | AvalonBay Communities vs. Camden Property Trust |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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