Correlation Between Dunham Emerging and Ab Global
Can any of the company-specific risk be diversified away by investing in both Dunham Emerging and Ab Global 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 Ab Global 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 Ab Global Risk, you can compare the effects of market volatilities on Dunham Emerging and Ab Global 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 Ab Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Emerging and Ab Global.
Diversification Opportunities for Dunham Emerging and Ab Global
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dunham and CBSYX is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Emerging Markets and Ab Global Risk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab Global Risk 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 Ab Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab Global Risk has no effect on the direction of Dunham Emerging i.e., Dunham Emerging and Ab Global go up and down completely randomly.
Pair Corralation between Dunham Emerging and Ab Global
Assuming the 90 days horizon Dunham Emerging Markets is expected to generate 2.3 times more return on investment than Ab Global. However, Dunham Emerging is 2.3 times more volatile than Ab Global Risk. It trades about 0.03 of its potential returns per unit of risk. Ab Global Risk is currently generating about 0.04 per unit of risk. If you would invest 1,385 in Dunham Emerging Markets on December 28, 2024 and sell it today you would earn a total of 26.00 from holding Dunham Emerging Markets or generate 1.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Dunham Emerging Markets vs. Ab Global Risk
Performance |
Timeline |
Dunham Emerging Markets |
Ab Global Risk |
Dunham Emerging and Ab Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham Emerging and Ab Global
The main advantage of trading using opposite Dunham Emerging and Ab Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Emerging position performs unexpectedly, Ab Global 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 Ab Global will offset losses from the drop in Ab Global's long position.Dunham Emerging vs. Cornercap Small Cap Value | Dunham Emerging vs. Boston Partners Small | Dunham Emerging vs. Ultrashort Small Cap Profund | Dunham Emerging vs. T Rowe Price |
Ab Global vs. Gamco International Growth | Ab Global vs. Pnc International Growth | Ab Global vs. Ab International Growth | Ab Global vs. Auer Growth Fund |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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