Correlation Between Cherry Hill and New York
Can any of the company-specific risk be diversified away by investing in both Cherry Hill 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 Cherry Hill and New York into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cherry Hill Mortgage and New York Mortgage, you can compare the effects of market volatilities on Cherry Hill 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 Cherry Hill with a short position of New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cherry Hill and New York.
Diversification Opportunities for Cherry Hill and New York
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cherry and New is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Cherry Hill Mortgage 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 Cherry Hill 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 Cherry Hill Mortgage 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 Cherry Hill i.e., Cherry Hill and New York go up and down completely randomly.
Pair Corralation between Cherry Hill and New York
Assuming the 90 days trading horizon Cherry Hill is expected to generate 3.1 times less return on investment than New York. But when comparing it to its historical volatility, Cherry Hill Mortgage is 1.1 times less risky than New York. It trades about 0.01 of its potential returns per unit of risk. New York Mortgage is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2,191 in New York Mortgage on December 29, 2024 and sell it today you would earn a total of 46.00 from holding New York Mortgage or generate 2.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cherry Hill Mortgage vs. New York Mortgage
Performance |
Timeline |
Cherry Hill Mortgage |
New York Mortgage |
Cherry Hill and New York Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cherry Hill and New York
The main advantage of trading using opposite Cherry Hill and New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cherry Hill 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.Cherry Hill vs. Lument Finance Trust | Cherry Hill vs. PennyMac Mortgage Investment | Cherry Hill vs. AG Mortgage Investment | Cherry Hill vs. Invesco Mortgage Capital |
New York vs. NexPoint Real Estate | New York vs. TPG RE Finance | New York vs. New York Mortgage | New York vs. New York Mortgage |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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