Correlation Between Two Harbors and AG Mortgage
Can any of the company-specific risk be diversified away by investing in both Two Harbors and AG Mortgage 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 Two Harbors and AG Mortgage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Two Harbors Investment and AG Mortgage Investment, you can compare the effects of market volatilities on Two Harbors and AG Mortgage 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 Two Harbors with a short position of AG Mortgage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Two Harbors and AG Mortgage.
Diversification Opportunities for Two Harbors and AG Mortgage
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Two and MITT-PB is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Two Harbors Investment and AG Mortgage Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AG Mortgage Investment and Two Harbors 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 Two Harbors Investment are associated (or correlated) with AG Mortgage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AG Mortgage Investment has no effect on the direction of Two Harbors i.e., Two Harbors and AG Mortgage go up and down completely randomly.
Pair Corralation between Two Harbors and AG Mortgage
Assuming the 90 days trading horizon Two Harbors Investment is expected to under-perform the AG Mortgage. But the preferred stock apears to be less risky and, when comparing its historical volatility, Two Harbors Investment is 1.49 times less risky than AG Mortgage. The preferred stock trades about -0.17 of its potential returns per unit of risk. The AG Mortgage Investment is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 2,249 in AG Mortgage Investment on August 31, 2024 and sell it today you would lose (4.00) from holding AG Mortgage Investment or give up 0.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.65% |
Values | Daily Returns |
Two Harbors Investment vs. AG Mortgage Investment
Performance |
Timeline |
Two Harbors Investment |
AG Mortgage Investment |
Two Harbors and AG Mortgage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Two Harbors and AG Mortgage
The main advantage of trading using opposite Two Harbors and AG Mortgage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Two Harbors position performs unexpectedly, AG Mortgage 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 AG Mortgage will offset losses from the drop in AG Mortgage's long position.Two Harbors vs. Lument Finance Trust | Two Harbors vs. PennyMac Mortgage Investment | Two Harbors vs. AG Mortgage Investment | Two Harbors vs. Invesco Mortgage Capital |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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