Correlation Between Thornburg Low and Dunham High
Can any of the company-specific risk be diversified away by investing in both Thornburg Low and Dunham High 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 Thornburg Low and Dunham High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thornburg Low Duration and Dunham High Yield, you can compare the effects of market volatilities on Thornburg Low and Dunham High 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 Thornburg Low with a short position of Dunham High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thornburg Low and Dunham High.
Diversification Opportunities for Thornburg Low and Dunham High
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Thornburg and DUNHAM is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Thornburg Low Duration and Dunham High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham High Yield and Thornburg Low 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 Thornburg Low Duration are associated (or correlated) with Dunham High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham High Yield has no effect on the direction of Thornburg Low i.e., Thornburg Low and Dunham High go up and down completely randomly.
Pair Corralation between Thornburg Low and Dunham High
Assuming the 90 days horizon Thornburg Low Duration is expected to generate 0.56 times more return on investment than Dunham High. However, Thornburg Low Duration is 1.79 times less risky than Dunham High. It trades about 0.2 of its potential returns per unit of risk. Dunham High Yield is currently generating about 0.08 per unit of risk. If you would invest 1,206 in Thornburg Low Duration on December 21, 2024 and sell it today you would earn a total of 15.00 from holding Thornburg Low Duration or generate 1.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Thornburg Low Duration vs. Dunham High Yield
Performance |
Timeline |
Thornburg Low Duration |
Dunham High Yield |
Thornburg Low and Dunham High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thornburg Low and Dunham High
The main advantage of trading using opposite Thornburg Low and Dunham High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thornburg Low position performs unexpectedly, Dunham High 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 Dunham High will offset losses from the drop in Dunham High's long position.Thornburg Low vs. Goldman Sachs Government | Thornburg Low vs. Franklin Adjustable Government | Thornburg Low vs. Intermediate Government Bond | Thornburg Low vs. Us Government Securities |
Dunham High vs. Elfun Government Money | Dunham High vs. Putnam Money Market | Dunham High vs. Edward Jones Money | Dunham High vs. Fidelity Government Money |
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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