Correlation Between Blue Current and Dunham Large
Can any of the company-specific risk be diversified away by investing in both Blue Current and Dunham Large 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 Blue Current and Dunham Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blue Current Global and Dunham Large Cap, you can compare the effects of market volatilities on Blue Current and Dunham Large 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 Blue Current with a short position of Dunham Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blue Current and Dunham Large.
Diversification Opportunities for Blue Current and Dunham Large
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Blue and Dunham is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Blue Current Global and Dunham Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Large Cap and Blue Current 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 Blue Current Global are associated (or correlated) with Dunham Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Large Cap has no effect on the direction of Blue Current i.e., Blue Current and Dunham Large go up and down completely randomly.
Pair Corralation between Blue Current and Dunham Large
Assuming the 90 days horizon Blue Current Global is expected to generate 0.81 times more return on investment than Dunham Large. However, Blue Current Global is 1.23 times less risky than Dunham Large. It trades about 0.1 of its potential returns per unit of risk. Dunham Large Cap is currently generating about 0.07 per unit of risk. If you would invest 1,198 in Blue Current Global on September 13, 2024 and sell it today you would earn a total of 430.00 from holding Blue Current Global or generate 35.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Blue Current Global vs. Dunham Large Cap
Performance |
| Timeline |
| Blue Current Global |
| Dunham Large Cap |
Blue Current and Dunham Large Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Blue Current and Dunham Large
The main advantage of trading using opposite Blue Current and Dunham Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blue Current position performs unexpectedly, Dunham Large 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 Large will offset losses from the drop in Dunham Large's long position.| Blue Current vs. Dunham Large Cap | Blue Current vs. Large Cap Growth Profund | Blue Current vs. Qs Large Cap | Blue Current vs. Pace Large Value |
| Dunham Large vs. Counterpoint Tactical Municipal | Dunham Large vs. T Rowe Price | Dunham Large vs. Blrc Sgy Mnp | Dunham Large vs. Bbh Intermediate Municipal |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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