Correlation Between Granite Point and AGNC Investment
Can any of the company-specific risk be diversified away by investing in both Granite Point and AGNC Investment 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 Granite Point and AGNC Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Granite Point Mortgage and AGNC Investment Corp, you can compare the effects of market volatilities on Granite Point and AGNC Investment 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 Granite Point with a short position of AGNC Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Granite Point and AGNC Investment.
Diversification Opportunities for Granite Point and AGNC Investment
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Granite and AGNC is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Granite Point Mortgage and AGNC Investment Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGNC Investment Corp and Granite Point 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 Granite Point Mortgage are associated (or correlated) with AGNC Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGNC Investment Corp has no effect on the direction of Granite Point i.e., Granite Point and AGNC Investment go up and down completely randomly.
Pair Corralation between Granite Point and AGNC Investment
Given the investment horizon of 90 days Granite Point Mortgage is expected to under-perform the AGNC Investment. In addition to that, Granite Point is 1.88 times more volatile than AGNC Investment Corp. It trades about -0.44 of its total potential returns per unit of risk. AGNC Investment Corp is currently generating about -0.03 per unit of volatility. If you would invest 2,465 in AGNC Investment Corp on October 14, 2024 and sell it today you would lose (23.00) from holding AGNC Investment Corp or give up 0.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Granite Point Mortgage vs. AGNC Investment Corp
Performance |
Timeline |
Granite Point Mortgage |
AGNC Investment Corp |
Granite Point and AGNC Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Granite Point and AGNC Investment
The main advantage of trading using opposite Granite Point and AGNC Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Granite Point position performs unexpectedly, AGNC Investment 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 AGNC Investment will offset losses from the drop in AGNC Investment's long position.Granite Point vs. MFA Financial | Granite Point vs. Angel Oak Mortgage | Granite Point vs. Two Harbors Investments | Granite Point vs. PennyMac Mortgage Investment |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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