Correlation Between ACRES Commercial and Arbor Realty
Can any of the company-specific risk be diversified away by investing in both ACRES Commercial and Arbor 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 ACRES Commercial and Arbor Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ACRES Commercial Realty and Arbor Realty Trust, you can compare the effects of market volatilities on ACRES Commercial and Arbor 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 ACRES Commercial with a short position of Arbor Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of ACRES Commercial and Arbor Realty.
Diversification Opportunities for ACRES Commercial and Arbor Realty
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between ACRES and Arbor is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding ACRES Commercial Realty and Arbor Realty Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arbor Realty Trust and ACRES Commercial 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 ACRES Commercial Realty are associated (or correlated) with Arbor Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arbor Realty Trust has no effect on the direction of ACRES Commercial i.e., ACRES Commercial and Arbor Realty go up and down completely randomly.
Pair Corralation between ACRES Commercial and Arbor Realty
Assuming the 90 days trading horizon ACRES Commercial is expected to generate 4563.0 times less return on investment than Arbor Realty. But when comparing it to its historical volatility, ACRES Commercial Realty is 6.78 times less risky than Arbor Realty. It trades about 0.0 of its potential returns per unit of risk. Arbor Realty Trust is currently generating about 0.38 of returns per unit of risk over similar time horizon. If you would invest 2,084 in Arbor Realty Trust on September 26, 2024 and sell it today you would earn a total of 216.00 from holding Arbor Realty Trust or generate 10.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
ACRES Commercial Realty vs. Arbor Realty Trust
Performance |
Timeline |
ACRES Commercial Realty |
Arbor Realty Trust |
ACRES Commercial and Arbor Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ACRES Commercial and Arbor Realty
The main advantage of trading using opposite ACRES Commercial and Arbor Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ACRES Commercial position performs unexpectedly, Arbor 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 Arbor Realty will offset losses from the drop in Arbor Realty's long position.ACRES Commercial vs. Annaly Capital Management | ACRES Commercial vs. AGNC Investment Corp | ACRES Commercial vs. AGNC Investment Corp | ACRES Commercial vs. MFA Financial |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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