Correlation Between Dunham Emerging and Inverse Emerging
Can any of the company-specific risk be diversified away by investing in both Dunham Emerging and Inverse 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 Dunham Emerging and Inverse Emerging 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 Inverse Emerging Markets, you can compare the effects of market volatilities on Dunham Emerging and Inverse 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 Dunham Emerging with a short position of Inverse Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Emerging and Inverse Emerging.
Diversification Opportunities for Dunham Emerging and Inverse Emerging
-0.87 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Dunham and Inverse is -0.87. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Emerging Markets and Inverse Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Emerging Markets 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 Inverse Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Emerging Markets has no effect on the direction of Dunham Emerging i.e., Dunham Emerging and Inverse Emerging go up and down completely randomly.
Pair Corralation between Dunham Emerging and Inverse Emerging
Assuming the 90 days horizon Dunham Emerging Markets is expected to generate 0.34 times more return on investment than Inverse Emerging. However, Dunham Emerging Markets is 2.9 times less risky than Inverse Emerging. It trades about 0.06 of its potential returns per unit of risk. Inverse Emerging Markets is currently generating about -0.09 per unit of risk. If you would invest 1,400 in Dunham Emerging Markets on December 21, 2024 and sell it today you would earn a total of 46.00 from holding Dunham Emerging Markets or generate 3.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dunham Emerging Markets vs. Inverse Emerging Markets
Performance |
Timeline |
Dunham Emerging Markets |
Inverse Emerging Markets |
Dunham Emerging and Inverse Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham Emerging and Inverse Emerging
The main advantage of trading using opposite Dunham Emerging and Inverse Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Emerging position performs unexpectedly, Inverse 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 Inverse Emerging will offset losses from the drop in Inverse Emerging's long position.Dunham Emerging vs. Vanguard Target Retirement | Dunham Emerging vs. Centerstone Investors Fund | Dunham Emerging vs. Arrow Managed Futures | Dunham Emerging vs. Gmo Quality 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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