Correlation Between Walker Dunlop and Oaktree Specialty
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and Oaktree Specialty 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 Oaktree Specialty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and Oaktree Specialty Lending, you can compare the effects of market volatilities on Walker Dunlop and Oaktree Specialty 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 Oaktree Specialty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and Oaktree Specialty.
Diversification Opportunities for Walker Dunlop and Oaktree Specialty
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Walker and Oaktree is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and Oaktree Specialty Lending in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oaktree Specialty Lending 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 Oaktree Specialty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oaktree Specialty Lending has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and Oaktree Specialty go up and down completely randomly.
Pair Corralation between Walker Dunlop and Oaktree Specialty
Allowing for the 90-day total investment horizon Walker Dunlop is expected to under-perform the Oaktree Specialty. In addition to that, Walker Dunlop is 1.84 times more volatile than Oaktree Specialty Lending. It trades about -0.29 of its total potential returns per unit of risk. Oaktree Specialty Lending is currently generating about -0.07 per unit of volatility. If you would invest 1,545 in Oaktree Specialty Lending on September 27, 2024 and sell it today you would lose (24.00) from holding Oaktree Specialty Lending or give up 1.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Walker Dunlop vs. Oaktree Specialty Lending
Performance |
Timeline |
Walker Dunlop |
Oaktree Specialty Lending |
Walker Dunlop and Oaktree Specialty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walker Dunlop and Oaktree Specialty
The main advantage of trading using opposite Walker Dunlop and Oaktree Specialty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, Oaktree Specialty 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 Oaktree Specialty will offset losses from the drop in Oaktree Specialty's long position.Walker Dunlop vs. Loandepot | Walker Dunlop vs. Mr Cooper Group | Walker Dunlop vs. PennyMac Finl Svcs | Walker Dunlop vs. Guild Holdings Co |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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