Correlation Between Dunham High and Quantitative
Can any of the company-specific risk be diversified away by investing in both Dunham High and Quantitative 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 High and Quantitative into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham High Yield and Quantitative U S, you can compare the effects of market volatilities on Dunham High and Quantitative 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 High with a short position of Quantitative. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham High and Quantitative.
Diversification Opportunities for Dunham High and Quantitative
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dunham and Quantitative is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Dunham High Yield and Quantitative U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quantitative U S and Dunham High 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 High Yield are associated (or correlated) with Quantitative. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quantitative U S has no effect on the direction of Dunham High i.e., Dunham High and Quantitative go up and down completely randomly.
Pair Corralation between Dunham High and Quantitative
Assuming the 90 days horizon Dunham High is expected to generate 3.1 times less return on investment than Quantitative. But when comparing it to its historical volatility, Dunham High Yield is 5.33 times less risky than Quantitative. It trades about 0.2 of its potential returns per unit of risk. Quantitative U S is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,301 in Quantitative U S on July 29, 2025 and sell it today you would earn a total of 74.00 from holding Quantitative U S or generate 5.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dunham High Yield vs. Quantitative U S
Performance |
| Timeline |
| Dunham High Yield |
| Quantitative U S |
Dunham High and Quantitative Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dunham High and Quantitative
The main advantage of trading using opposite Dunham High and Quantitative positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham High position performs unexpectedly, Quantitative 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 Quantitative will offset losses from the drop in Quantitative's long position.| Dunham High vs. Dunham Dynamic Macro | Dunham High vs. Dunham Appreciation Income | Dunham High vs. Dunham Porategovernment Bond | Dunham High vs. Dunham Small Cap |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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