Correlation Between Abrdn Asia and Global Dividend
Can any of the company-specific risk be diversified away by investing in both Abrdn Asia and Global Dividend 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 Abrdn Asia and Global Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between abrdn Asia Pacific and Global Dividend Growth, you can compare the effects of market volatilities on Abrdn Asia and Global Dividend 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 Abrdn Asia with a short position of Global Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Abrdn Asia and Global Dividend.
Diversification Opportunities for Abrdn Asia and Global Dividend
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Abrdn and Global is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding abrdn Asia Pacific and Global Dividend Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Dividend Growth and Abrdn Asia 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 abrdn Asia Pacific are associated (or correlated) with Global Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Dividend Growth has no effect on the direction of Abrdn Asia i.e., Abrdn Asia and Global Dividend go up and down completely randomly.
Pair Corralation between Abrdn Asia and Global Dividend
Assuming the 90 days trading horizon Abrdn Asia is expected to generate 2.95 times less return on investment than Global Dividend. But when comparing it to its historical volatility, abrdn Asia Pacific is 1.3 times less risky than Global Dividend. It trades about 0.1 of its potential returns per unit of risk. Global Dividend Growth is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 994.00 in Global Dividend Growth on April 23, 2025 and sell it today you would earn a total of 109.00 from holding Global Dividend Growth or generate 10.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
abrdn Asia Pacific vs. Global Dividend Growth
Performance |
Timeline |
abrdn Asia Pacific |
Global Dividend Growth |
Abrdn Asia and Global Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Abrdn Asia and Global Dividend
The main advantage of trading using opposite Abrdn Asia and Global Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Abrdn Asia position performs unexpectedly, Global Dividend 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 Global Dividend will offset losses from the drop in Global Dividend's long position.Abrdn Asia vs. Global Dividend Growth | Abrdn Asia vs. Dividend Select 15 | Abrdn Asia vs. Brompton Split Banc | Abrdn Asia vs. Life Banc Split |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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