Correlation Between MCAN Mortgage and Logan Ridge
Can any of the company-specific risk be diversified away by investing in both MCAN Mortgage and Logan Ridge 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 MCAN Mortgage and Logan Ridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MCAN Mortgage and Logan Ridge Finance, you can compare the effects of market volatilities on MCAN Mortgage and Logan Ridge 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 MCAN Mortgage with a short position of Logan Ridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of MCAN Mortgage and Logan Ridge.
Diversification Opportunities for MCAN Mortgage and Logan Ridge
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MCAN and Logan is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding MCAN Mortgage and Logan Ridge Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Logan Ridge Finance and MCAN 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 MCAN Mortgage are associated (or correlated) with Logan Ridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Logan Ridge Finance has no effect on the direction of MCAN Mortgage i.e., MCAN Mortgage and Logan Ridge go up and down completely randomly.
Pair Corralation between MCAN Mortgage and Logan Ridge
Assuming the 90 days horizon MCAN Mortgage is expected to generate 0.92 times more return on investment than Logan Ridge. However, MCAN Mortgage is 1.08 times less risky than Logan Ridge. It trades about 0.22 of its potential returns per unit of risk. Logan Ridge Finance is currently generating about 0.0 per unit of risk. If you would invest 1,320 in MCAN Mortgage on September 12, 2024 and sell it today you would earn a total of 80.00 from holding MCAN Mortgage or generate 6.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MCAN Mortgage vs. Logan Ridge Finance
Performance |
Timeline |
MCAN Mortgage |
Logan Ridge Finance |
MCAN Mortgage and Logan Ridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MCAN Mortgage and Logan Ridge
The main advantage of trading using opposite MCAN Mortgage and Logan Ridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MCAN Mortgage position performs unexpectedly, Logan Ridge 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 Logan Ridge will offset losses from the drop in Logan Ridge's long position.MCAN Mortgage vs. Guild Holdings Co | MCAN Mortgage vs. Mr Cooper Group | MCAN Mortgage vs. Encore Capital Group | MCAN Mortgage vs. CNFinance Holdings |
Logan Ridge vs. Stellus Capital Investment | Logan Ridge vs. Prospect Capital | Logan Ridge vs. Gladstone Capital | Logan Ridge vs. Main Street Capital |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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