Correlation Between PennyMac Mortgage and BII Railway
Can any of the company-specific risk be diversified away by investing in both PennyMac Mortgage and BII Railway 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 PennyMac Mortgage and BII Railway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PennyMac Mortgage Investment and BII Railway Transportation, you can compare the effects of market volatilities on PennyMac Mortgage and BII Railway 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 PennyMac Mortgage with a short position of BII Railway. Check out your portfolio center. Please also check ongoing floating volatility patterns of PennyMac Mortgage and BII Railway.
Diversification Opportunities for PennyMac Mortgage and BII Railway
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between PennyMac and BII is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding PennyMac Mortgage Investment and BII Railway Transportation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BII Railway Transpor and PennyMac Mortgage 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 PennyMac Mortgage Investment are associated (or correlated) with BII Railway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BII Railway Transpor has no effect on the direction of PennyMac Mortgage i.e., PennyMac Mortgage and BII Railway go up and down completely randomly.
Pair Corralation between PennyMac Mortgage and BII Railway
Assuming the 90 days horizon PennyMac Mortgage Investment is expected to generate 0.84 times more return on investment than BII Railway. However, PennyMac Mortgage Investment is 1.19 times less risky than BII Railway. It trades about 0.16 of its potential returns per unit of risk. BII Railway Transportation is currently generating about 0.04 per unit of risk. If you would invest 1,190 in PennyMac Mortgage Investment on December 29, 2024 and sell it today you would earn a total of 170.00 from holding PennyMac Mortgage Investment or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
PennyMac Mortgage Investment vs. BII Railway Transportation
Performance |
Timeline |
PennyMac Mortgage |
BII Railway Transpor |
PennyMac Mortgage and BII Railway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PennyMac Mortgage and BII Railway
The main advantage of trading using opposite PennyMac Mortgage and BII Railway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PennyMac Mortgage position performs unexpectedly, BII Railway 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 BII Railway will offset losses from the drop in BII Railway's long position.PennyMac Mortgage vs. AGNC INVESTMENT | PennyMac Mortgage vs. Hisense Home Appliances | PennyMac Mortgage vs. 24SEVENOFFICE GROUP AB | PennyMac Mortgage vs. INVITATION HOMES DL |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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