Correlation Between NexPoint Real and MFA Financial
Can any of the company-specific risk be diversified away by investing in both NexPoint Real and MFA Financial 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 NexPoint Real and MFA Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NexPoint Real Estate and MFA Financial, you can compare the effects of market volatilities on NexPoint Real and MFA Financial 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 NexPoint Real with a short position of MFA Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of NexPoint Real and MFA Financial.
Diversification Opportunities for NexPoint Real and MFA Financial
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NexPoint and MFA is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding NexPoint Real Estate and MFA Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFA Financial and NexPoint Real 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 NexPoint Real Estate are associated (or correlated) with MFA Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFA Financial has no effect on the direction of NexPoint Real i.e., NexPoint Real and MFA Financial go up and down completely randomly.
Pair Corralation between NexPoint Real and MFA Financial
Assuming the 90 days trading horizon NexPoint Real Estate is expected to generate 0.93 times more return on investment than MFA Financial. However, NexPoint Real Estate is 1.07 times less risky than MFA Financial. It trades about 0.15 of its potential returns per unit of risk. MFA Financial is currently generating about 0.1 per unit of risk. If you would invest 2,257 in NexPoint Real Estate on December 30, 2024 and sell it today you would earn a total of 148.00 from holding NexPoint Real Estate or generate 6.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NexPoint Real Estate vs. MFA Financial
Performance |
Timeline |
NexPoint Real Estate |
MFA Financial |
NexPoint Real and MFA Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NexPoint Real and MFA Financial
The main advantage of trading using opposite NexPoint Real and MFA Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NexPoint Real position performs unexpectedly, MFA Financial 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 MFA Financial will offset losses from the drop in MFA Financial's long position.NexPoint Real vs. ACRES Commercial Realty | NexPoint Real vs. Dynex Capital | NexPoint Real vs. PennyMac Mortgage Investment | NexPoint Real vs. AG Mortgage Investment |
MFA Financial vs. Two Harbors Investment | MFA Financial vs. Invesco Mortgage Capital | MFA Financial vs. Chimera Investment | MFA Financial vs. Chimera 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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