Correlation Between Walker Dunlop and OFS Credit
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop 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 Walker Dunlop and OFS Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and OFS Credit, you can compare the effects of market volatilities on Walker Dunlop 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 Walker Dunlop with a short position of OFS Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and OFS Credit.
Diversification Opportunities for Walker Dunlop and OFS Credit
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Walker and OFS is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and OFS Credit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OFS Credit and Walker Dunlop 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 Walker Dunlop 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 Walker Dunlop i.e., Walker Dunlop and OFS Credit go up and down completely randomly.
Pair Corralation between Walker Dunlop and OFS Credit
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 2.3 times less return on investment than OFS Credit. In addition to that, Walker Dunlop is 1.57 times more volatile than OFS Credit. It trades about 0.04 of its total potential returns per unit of risk. OFS Credit is currently generating about 0.15 per unit of volatility. If you would invest 692.00 in OFS Credit on August 28, 2024 and sell it today you would earn a total of 22.00 from holding OFS Credit or generate 3.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Walker Dunlop vs. OFS Credit
Performance |
| Timeline |
| Walker Dunlop |
| OFS Credit |
Walker Dunlop and OFS Credit Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Walker Dunlop and OFS Credit
The main advantage of trading using opposite Walker Dunlop and OFS Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop 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.| Walker Dunlop vs. Mr Cooper Group | Walker Dunlop vs. Velocity Financial Llc | Walker Dunlop vs. Security National Financial | Walker Dunlop vs. Encore Capital Group |
| 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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