Correlation Between Walker Dunlop and George Putnam
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and George Putnam 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 George Putnam into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and George Putnam Fund, you can compare the effects of market volatilities on Walker Dunlop and George Putnam 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 George Putnam. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and George Putnam.
Diversification Opportunities for Walker Dunlop and George Putnam
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Walker and George is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and George Putnam Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on George Putnam 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 George Putnam. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of George Putnam has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and George Putnam go up and down completely randomly.
Pair Corralation between Walker Dunlop and George Putnam
Allowing for the 90-day total investment horizon Walker Dunlop is expected to generate 1.76 times more return on investment than George Putnam. However, Walker Dunlop is 1.76 times more volatile than George Putnam Fund. It trades about 0.05 of its potential returns per unit of risk. George Putnam Fund is currently generating about 0.02 per unit of risk. If you would invest 10,870 in Walker Dunlop on September 1, 2024 and sell it today you would earn a total of 148.00 from holding Walker Dunlop or generate 1.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Walker Dunlop vs. George Putnam Fund
Performance |
| Timeline |
| Walker Dunlop |
| George Putnam |
Walker Dunlop and George Putnam Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Walker Dunlop and George Putnam
The main advantage of trading using opposite Walker Dunlop and George Putnam positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, George Putnam 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 George Putnam will offset losses from the drop in George Putnam'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 |
| George Putnam vs. Putnam Equity Income | George Putnam vs. Putnam Tax Exempt | George Putnam vs. Putnam Floating Rate | George Putnam vs. Putnam High Yield |
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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