Correlation Between AGNC Investment and New York
Can any of the company-specific risk be diversified away by investing in both AGNC Investment 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 AGNC Investment and New York into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AGNC Investment Corp and New York Mortgage, you can compare the effects of market volatilities on AGNC Investment 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 AGNC Investment with a short position of New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of AGNC Investment and New York.
Diversification Opportunities for AGNC Investment and New York
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between AGNC and New is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding AGNC Investment Corp 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 AGNC Investment 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 AGNC Investment Corp 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 AGNC Investment i.e., AGNC Investment and New York go up and down completely randomly.
Pair Corralation between AGNC Investment and New York
Assuming the 90 days horizon AGNC Investment Corp is expected to generate 0.51 times more return on investment than New York. However, AGNC Investment Corp is 1.95 times less risky than New York. It trades about 0.08 of its potential returns per unit of risk. New York Mortgage is currently generating about -0.23 per unit of risk. If you would invest 2,517 in AGNC Investment Corp on August 27, 2024 and sell it today you would earn a total of 11.00 from holding AGNC Investment Corp or generate 0.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
AGNC Investment Corp vs. New York Mortgage
Performance |
| Timeline |
| AGNC Investment Corp |
| New York Mortgage |
AGNC Investment and New York Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AGNC Investment and New York
The main advantage of trading using opposite AGNC Investment and New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGNC Investment 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.| AGNC Investment vs. AGNC Investment Corp | AGNC Investment vs. AGNC Investment Corp | AGNC Investment vs. AGNC Investment Corp | AGNC Investment vs. Annaly Capital Management |
| New York vs. Annaly Capital Management | New York vs. AGNC Investment Corp | New York vs. Invesco Mortgage Capital | New York vs. Invesco Mortgage Capital |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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