Correlation Between Portman Ridge and OFS Credit
Can any of the company-specific risk be diversified away by investing in both Portman Ridge and OFS Credit 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 Portman Ridge and OFS Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Portman Ridge Finance and OFS Credit, you can compare the effects of market volatilities on Portman Ridge and OFS Credit 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 Portman Ridge with a short position of OFS Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Portman Ridge and OFS Credit.
Diversification Opportunities for Portman Ridge and OFS Credit
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Portman and OFS is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Portman Ridge Finance and OFS Credit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OFS Credit and Portman Ridge 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 Portman Ridge Finance are associated (or correlated) with OFS Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OFS Credit has no effect on the direction of Portman Ridge i.e., Portman Ridge and OFS Credit go up and down completely randomly.
Pair Corralation between Portman Ridge and OFS Credit
Given the investment horizon of 90 days Portman Ridge Finance is expected to under-perform the OFS Credit. In addition to that, Portman Ridge is 1.21 times more volatile than OFS Credit. It trades about -0.1 of its total potential returns per unit of risk. OFS Credit is currently generating about -0.12 per unit of volatility. If you would invest 671.00 in OFS Credit on December 28, 2024 and sell it today you would lose (51.00) from holding OFS Credit or give up 7.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Portman Ridge Finance vs. OFS Credit
Performance |
Timeline |
Portman Ridge Finance |
OFS Credit |
Portman Ridge and OFS Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Portman Ridge and OFS Credit
The main advantage of trading using opposite Portman Ridge and OFS Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Portman Ridge position performs unexpectedly, OFS Credit 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 OFS Credit will offset losses from the drop in OFS Credit's long position.Portman Ridge vs. Logan Ridge Finance | Portman Ridge vs. MFS Investment Grade | Portman Ridge vs. Eaton Vance National | Portman Ridge vs. WhiteHorse Finance |
OFS Credit vs. WhiteHorse Finance | OFS Credit vs. Monroe Capital Corp | OFS Credit vs. Portman Ridge Finance | OFS Credit vs. Fidus Investment Corp |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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