Correlation Between PennyMac Mortgage and Merck
Can any of the company-specific risk be diversified away by investing in both PennyMac Mortgage and Merck 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 Merck 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 Merck Company, you can compare the effects of market volatilities on PennyMac Mortgage and Merck 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 Merck. Check out your portfolio center. Please also check ongoing floating volatility patterns of PennyMac Mortgage and Merck.
Diversification Opportunities for PennyMac Mortgage and Merck
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between PennyMac and Merck is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding PennyMac Mortgage Investment and Merck Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Merck Company 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 Merck. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Merck Company has no effect on the direction of PennyMac Mortgage i.e., PennyMac Mortgage and Merck go up and down completely randomly.
Pair Corralation between PennyMac Mortgage and Merck
Assuming the 90 days horizon PennyMac Mortgage Investment is expected to generate 0.53 times more return on investment than Merck. However, PennyMac Mortgage Investment is 1.88 times less risky than Merck. It trades about 0.08 of its potential returns per unit of risk. Merck Company is currently generating about -0.16 per unit of risk. If you would invest 1,212 in PennyMac Mortgage Investment on September 12, 2024 and sell it today you would earn a total of 58.00 from holding PennyMac Mortgage Investment or generate 4.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PennyMac Mortgage Investment vs. Merck Company
Performance |
Timeline |
PennyMac Mortgage |
Merck Company |
PennyMac Mortgage and Merck Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PennyMac Mortgage and Merck
The main advantage of trading using opposite PennyMac Mortgage and Merck positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PennyMac Mortgage position performs unexpectedly, Merck 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 Merck will offset losses from the drop in Merck's long position.PennyMac Mortgage vs. Superior Plus Corp | PennyMac Mortgage vs. SIVERS SEMICONDUCTORS AB | PennyMac Mortgage vs. CHINA HUARONG ENERHD 50 | PennyMac Mortgage vs. NORDIC HALIBUT AS |
Merck vs. Gladstone Investment | Merck vs. ELMOS SEMICONDUCTOR | Merck vs. PennyMac Mortgage Investment | Merck vs. CapitaLand Investment Limited |
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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