Correlation Between Origin Emerging and Dunham Emerging
Can any of the company-specific risk be diversified away by investing in both Origin Emerging and Dunham Emerging 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 Origin Emerging and Dunham Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Origin Emerging Markets and Dunham Emerging Markets, you can compare the effects of market volatilities on Origin Emerging and Dunham Emerging 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 Origin Emerging with a short position of Dunham Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Origin Emerging and Dunham Emerging.
Diversification Opportunities for Origin Emerging and Dunham Emerging
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Origin and Dunham is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Origin Emerging Markets and Dunham Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Emerging Markets and Origin 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 Origin Emerging Markets are associated (or correlated) with Dunham Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Emerging Markets has no effect on the direction of Origin Emerging i.e., Origin Emerging and Dunham Emerging go up and down completely randomly.
Pair Corralation between Origin Emerging and Dunham Emerging
Assuming the 90 days horizon Origin Emerging Markets is expected to generate 0.57 times more return on investment than Dunham Emerging. However, Origin Emerging Markets is 1.77 times less risky than Dunham Emerging. It trades about -0.12 of its potential returns per unit of risk. Dunham Emerging Markets is currently generating about -0.24 per unit of risk. If you would invest 1,056 in Origin Emerging Markets on October 10, 2024 and sell it today you would lose (10.00) from holding Origin Emerging Markets or give up 0.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Origin Emerging Markets vs. Dunham Emerging Markets
Performance |
Timeline |
Origin Emerging Markets |
Dunham Emerging Markets |
Origin Emerging and Dunham Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Origin Emerging and Dunham Emerging
The main advantage of trading using opposite Origin Emerging and Dunham Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Origin Emerging position performs unexpectedly, Dunham Emerging 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 Emerging will offset losses from the drop in Dunham Emerging's long position.Origin Emerging vs. Great West Goldman Sachs | Origin Emerging vs. Vy Goldman Sachs | Origin Emerging vs. Precious Metals And | Origin Emerging vs. Gabelli Gold Fund |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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