Correlation Between Arbor Realty and Oxford Lane
Can any of the company-specific risk be diversified away by investing in both Arbor Realty and Oxford Lane 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 Arbor Realty and Oxford Lane into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arbor Realty Trust and Oxford Lane Capital, you can compare the effects of market volatilities on Arbor Realty and Oxford Lane 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 Arbor Realty with a short position of Oxford Lane. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arbor Realty and Oxford Lane.
Diversification Opportunities for Arbor Realty and Oxford Lane
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Arbor and Oxford is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Arbor Realty Trust and Oxford Lane Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxford Lane Capital and Arbor 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 Arbor Realty Trust are associated (or correlated) with Oxford Lane. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxford Lane Capital has no effect on the direction of Arbor Realty i.e., Arbor Realty and Oxford Lane go up and down completely randomly.
Pair Corralation between Arbor Realty and Oxford Lane
Considering the 90-day investment horizon Arbor Realty Trust is expected to under-perform the Oxford Lane. In addition to that, Arbor Realty is 1.7 times more volatile than Oxford Lane Capital. It trades about -0.19 of its total potential returns per unit of risk. Oxford Lane Capital is currently generating about 0.01 per unit of volatility. If you would invest 2,414 in Oxford Lane Capital on October 10, 2024 and sell it today you would earn a total of 1.00 from holding Oxford Lane Capital or generate 0.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Arbor Realty Trust vs. Oxford Lane Capital
Performance |
Timeline |
Arbor Realty Trust |
Oxford Lane Capital |
Arbor Realty and Oxford Lane Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arbor Realty and Oxford Lane
The main advantage of trading using opposite Arbor Realty and Oxford Lane positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arbor Realty position performs unexpectedly, Oxford Lane 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 Oxford Lane will offset losses from the drop in Oxford Lane's long position.Arbor Realty vs. Starwood Property Trust | Arbor Realty vs. Ready Capital Corp | Arbor Realty vs. Two Harbors Investments | Arbor Realty vs. AGNC Investment Corp |
Oxford Lane vs. Oxford Lane Capital | Oxford Lane vs. Oxford Lane Capital | Oxford Lane vs. CHS Inc CM | Oxford Lane vs. Fifth Third Bancorp |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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