Correlation Between Two Harbors and Arbor Realty
Can any of the company-specific risk be diversified away by investing in both Two Harbors 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 Two Harbors and Arbor Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Two Harbors Investment and Arbor Realty Trust, you can compare the effects of market volatilities on Two Harbors 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 Two Harbors with a short position of Arbor Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Two Harbors and Arbor Realty.
Diversification Opportunities for Two Harbors and Arbor Realty
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Two and Arbor is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Two Harbors Investment 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 Two Harbors 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 Two Harbors Investment 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 Two Harbors i.e., Two Harbors and Arbor Realty go up and down completely randomly.
Pair Corralation between Two Harbors and Arbor Realty
Assuming the 90 days trading horizon Two Harbors Investment is expected to generate 0.66 times more return on investment than Arbor Realty. However, Two Harbors Investment is 1.52 times less risky than Arbor Realty. It trades about 0.14 of its potential returns per unit of risk. Arbor Realty Trust is currently generating about 0.06 per unit of risk. If you would invest 1,935 in Two Harbors Investment on August 27, 2024 and sell it today you would earn a total of 546.00 from holding Two Harbors Investment or generate 28.22% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Two Harbors Investment vs. Arbor Realty Trust
Performance |
| Timeline |
| Two Harbors Investment |
| Arbor Realty Trust |
Two Harbors and Arbor Realty Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Two Harbors and Arbor Realty
The main advantage of trading using opposite Two Harbors and Arbor Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Two Harbors 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.| Two Harbors vs. Two Harbors Investment | Two Harbors vs. Chimera Investment | Two Harbors vs. Chimera Investment | Two Harbors vs. Chimera Investment |
| Arbor Realty vs. New York Mortgage | Arbor Realty vs. New York Mortgage | Arbor Realty vs. Two Harbors Investment | Arbor Realty vs. Two Harbors Investment |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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