Correlation Between Walker Dunlop and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and Loomis Sayles 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 Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and Loomis Sayles Bond, you can compare the effects of market volatilities on Walker Dunlop and Loomis Sayles 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 Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and Loomis Sayles.
Diversification Opportunities for Walker Dunlop and Loomis Sayles
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Walker and Loomis is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and Loomis Sayles Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Bond 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 Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Bond has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and Loomis Sayles go up and down completely randomly.
Pair Corralation between Walker Dunlop and Loomis Sayles
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 6.07 times more return on investment than Loomis Sayles. However, Walker Dunlop is 6.07 times more volatile than Loomis Sayles Bond. It trades about 0.04 of its potential returns per unit of risk. Loomis Sayles Bond is currently generating about 0.07 per unit of risk. If you would invest 7,861 in Walker Dunlop on August 29, 2024 and sell it today you would earn a total of 3,221 from holding Walker Dunlop or generate 40.97% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Walker Dunlop vs. Loomis Sayles Bond
Performance |
| Timeline |
| Walker Dunlop |
| Loomis Sayles Bond |
Walker Dunlop and Loomis Sayles Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Walker Dunlop and Loomis Sayles
The main advantage of trading using opposite Walker Dunlop and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' 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 |
| Loomis Sayles vs. Pimco Income Fund | Loomis Sayles vs. HUMANA INC | Loomis Sayles vs. Aquagold International | Loomis Sayles vs. Barloworld Ltd ADR |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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