Correlation Between Dunham Large and Total Return
Can any of the company-specific risk be diversified away by investing in both Dunham Large and Total Return 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 Dunham Large and Total Return into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham Large Cap and Total Return Fund, you can compare the effects of market volatilities on Dunham Large and Total Return 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 Dunham Large with a short position of Total Return. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Large and Total Return.
Diversification Opportunities for Dunham Large and Total Return
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dunham and Total is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Large Cap and Total Return Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Total Return and Dunham Large 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 Dunham Large Cap are associated (or correlated) with Total Return. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Total Return has no effect on the direction of Dunham Large i.e., Dunham Large and Total Return go up and down completely randomly.
Pair Corralation between Dunham Large and Total Return
Assuming the 90 days horizon Dunham Large Cap is expected to generate 1.93 times more return on investment than Total Return. However, Dunham Large is 1.93 times more volatile than Total Return Fund. It trades about 0.08 of its potential returns per unit of risk. Total Return Fund is currently generating about -0.17 per unit of risk. If you would invest 2,005 in Dunham Large Cap on September 15, 2024 and sell it today you would earn a total of 57.00 from holding Dunham Large Cap or generate 2.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dunham Large Cap vs. Total Return Fund
Performance |
Timeline |
Dunham Large Cap |
Total Return |
Dunham Large and Total Return Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham Large and Total Return
The main advantage of trading using opposite Dunham Large and Total Return positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Large position performs unexpectedly, Total Return 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 Total Return will offset losses from the drop in Total Return's long position.Dunham Large vs. Dunham Dynamic Macro | Dunham Large vs. Dunham Appreciation Income | Dunham Large vs. Dunham Porategovernment Bond | Dunham Large vs. Dunham Small Cap |
Total Return vs. Qs Large Cap | Total Return vs. Qs Large Cap | Total Return vs. Dunham Large Cap | Total Return vs. Qs Large Cap |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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