Correlation Between NexPoint Real and New York
Can any of the company-specific risk be diversified away by investing in both NexPoint Real and New York 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 New York 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 New York Mortgage, you can compare the effects of market volatilities on NexPoint Real and New York 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 New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of NexPoint Real and New York.
Diversification Opportunities for NexPoint Real and New York
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NexPoint and New is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding NexPoint Real Estate and New York Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New York Mortgage 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 New York. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New York Mortgage has no effect on the direction of NexPoint Real i.e., NexPoint Real and New York go up and down completely randomly.
Pair Corralation between NexPoint Real and New York
Assuming the 90 days trading horizon NexPoint Real Estate is expected to generate 1.76 times more return on investment than New York. However, NexPoint Real is 1.76 times more volatile than New York Mortgage. It trades about 0.08 of its potential returns per unit of risk. New York Mortgage is currently generating about 0.13 per unit of risk. If you would invest 1,557 in NexPoint Real Estate on August 27, 2024 and sell it today you would earn a total of 768.00 from holding NexPoint Real Estate or generate 49.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 98.98% |
| Values | Daily Returns |
NexPoint Real Estate vs. New York Mortgage
Performance |
| Timeline |
| NexPoint Real Estate |
| New York Mortgage |
NexPoint Real and New York Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with NexPoint Real and New York
The main advantage of trading using opposite NexPoint Real and New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NexPoint Real position performs unexpectedly, New York 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 New York will offset losses from the drop in New York's long position.| NexPoint Real vs. Rithm Capital Corp | NexPoint Real vs. PennyMac Mortgage Investment | NexPoint Real vs. AGNC Investment Corp |
| New York vs. New York Mortgage | New York vs. New York Mortgage | New York vs. New York Mortgage | New York vs. AGNC Investment Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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