Correlation Between PennyMac Mortgage and Corteva
Can any of the company-specific risk be diversified away by investing in both PennyMac Mortgage and Corteva 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 Corteva 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 Corteva, you can compare the effects of market volatilities on PennyMac Mortgage and Corteva 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 Corteva. Check out your portfolio center. Please also check ongoing floating volatility patterns of PennyMac Mortgage and Corteva.
Diversification Opportunities for PennyMac Mortgage and Corteva
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between PennyMac and Corteva is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding PennyMac Mortgage Investment and Corteva in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Corteva 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 Corteva. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Corteva has no effect on the direction of PennyMac Mortgage i.e., PennyMac Mortgage and Corteva go up and down completely randomly.
Pair Corralation between PennyMac Mortgage and Corteva
Assuming the 90 days horizon PennyMac Mortgage Investment is expected to generate 0.4 times more return on investment than Corteva. However, PennyMac Mortgage Investment is 2.47 times less risky than Corteva. It trades about 0.29 of its potential returns per unit of risk. Corteva is currently generating about 0.1 per unit of risk. If you would invest 1,220 in PennyMac Mortgage Investment on September 5, 2024 and sell it today you would earn a total of 80.00 from holding PennyMac Mortgage Investment or generate 6.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.65% |
| Values | Daily Returns |
PennyMac Mortgage Investment vs. Corteva
Performance |
| Timeline |
| PennyMac Mortgage |
| Corteva |
PennyMac Mortgage and Corteva Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PennyMac Mortgage and Corteva
The main advantage of trading using opposite PennyMac Mortgage and Corteva positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PennyMac Mortgage position performs unexpectedly, Corteva 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 Corteva will offset losses from the drop in Corteva's long position.| PennyMac Mortgage vs. Superior Plus Corp | PennyMac Mortgage vs. NMI Holdings | PennyMac Mortgage vs. Origin Agritech | PennyMac Mortgage vs. SIVERS SEMICONDUCTORS AB |
| Corteva vs. PennyMac Mortgage Investment | Corteva vs. QINGCI GAMES INC | Corteva vs. ALERION CLEANPOWER | Corteva vs. GAMESTOP |
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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