Correlation Between Dunham Emerging and Dunham Monthly
Can any of the company-specific risk be diversified away by investing in both Dunham Emerging and Dunham Monthly 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 Emerging and Dunham Monthly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham Emerging Markets and Dunham Monthly Distribution, you can compare the effects of market volatilities on Dunham Emerging and Dunham Monthly 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 Emerging with a short position of Dunham Monthly. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Emerging and Dunham Monthly.
Diversification Opportunities for Dunham Emerging and Dunham Monthly
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dunham and Dunham is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Emerging Markets and Dunham Monthly Distribution in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Monthly Distr and Dunham Emerging 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 Emerging Markets are associated (or correlated) with Dunham Monthly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Monthly Distr has no effect on the direction of Dunham Emerging i.e., Dunham Emerging and Dunham Monthly go up and down completely randomly.
Pair Corralation between Dunham Emerging and Dunham Monthly
Assuming the 90 days horizon Dunham Emerging Markets is expected to generate 15.07 times more return on investment than Dunham Monthly. However, Dunham Emerging is 15.07 times more volatile than Dunham Monthly Distribution. It trades about 0.06 of its potential returns per unit of risk. Dunham Monthly Distribution is currently generating about 0.33 per unit of risk. If you would invest 1,489 in Dunham Emerging Markets on September 11, 2025 and sell it today you would earn a total of 56.00 from holding Dunham Emerging Markets or generate 3.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dunham Emerging Markets vs. Dunham Monthly Distribution
Performance |
| Timeline |
| Dunham Emerging Markets |
| Dunham Monthly Distr |
Dunham Emerging and Dunham Monthly Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dunham Emerging and Dunham Monthly
The main advantage of trading using opposite Dunham Emerging and Dunham Monthly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Emerging position performs unexpectedly, Dunham Monthly 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 Monthly will offset losses from the drop in Dunham Monthly's long position.| Dunham Emerging vs. Live Oak Health | Dunham Emerging vs. Alger Health Sciences | Dunham Emerging vs. Invesco Global Health | Dunham Emerging vs. Lord Abbett Health |
| Dunham Monthly vs. Dreyfus Opportunistic Small | Dunham Monthly vs. Summit Global Investments | Dunham Monthly vs. Lazard Global Total | Dunham Monthly vs. Hennessy Small 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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