Correlation Between Dynex Capital and Real Estate
Can any of the company-specific risk be diversified away by investing in both Dynex Capital and Real Estate 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 Dynex Capital and Real Estate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dynex Capital and Real Estate Fund, you can compare the effects of market volatilities on Dynex Capital and Real Estate 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 Dynex Capital with a short position of Real Estate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dynex Capital and Real Estate.
Diversification Opportunities for Dynex Capital and Real Estate
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dynex and Real is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Dynex Capital and Real Estate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Estate Fund and Dynex Capital 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 Dynex Capital are associated (or correlated) with Real Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Estate Fund has no effect on the direction of Dynex Capital i.e., Dynex Capital and Real Estate go up and down completely randomly.
Pair Corralation between Dynex Capital and Real Estate
Allowing for the 90-day total investment horizon Dynex Capital is expected to generate 0.87 times more return on investment than Real Estate. However, Dynex Capital is 1.14 times less risky than Real Estate. It trades about 0.11 of its potential returns per unit of risk. Real Estate Fund is currently generating about 0.01 per unit of risk. If you would invest 1,226 in Dynex Capital on August 28, 2024 and sell it today you would earn a total of 24.00 from holding Dynex Capital or generate 1.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dynex Capital vs. Real Estate Fund
Performance |
| Timeline |
| Dynex Capital |
| Real Estate Fund |
Dynex Capital and Real Estate Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dynex Capital and Real Estate
The main advantage of trading using opposite Dynex Capital and Real Estate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dynex Capital position performs unexpectedly, Real Estate 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 Real Estate will offset losses from the drop in Real Estate's long position.| Dynex Capital vs. Blackstone Mortgage Trust | Dynex Capital vs. Omega Healthcare Investors | Dynex Capital vs. Medical Properties Trust |
| Real Estate vs. Utilities Fund Investor | Real Estate vs. Emerging Markets Fund | Real Estate vs. Heritage Fund Investor | Real Estate vs. Value Fund Investor |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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