Correlation Between Multisector Bond and Gmo Emerging
Can any of the company-specific risk be diversified away by investing in both Multisector Bond and Gmo 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 Multisector Bond and Gmo Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multisector Bond Sma and Gmo Emerging Markets, you can compare the effects of market volatilities on Multisector Bond and Gmo 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 Multisector Bond with a short position of Gmo Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multisector Bond and Gmo Emerging.
Diversification Opportunities for Multisector Bond and Gmo Emerging
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Multisector and Gmo is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Multisector Bond Sma and Gmo Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Emerging Markets and Multisector Bond 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 Multisector Bond Sma are associated (or correlated) with Gmo Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Emerging Markets has no effect on the direction of Multisector Bond i.e., Multisector Bond and Gmo Emerging go up and down completely randomly.
Pair Corralation between Multisector Bond and Gmo Emerging
Assuming the 90 days horizon Multisector Bond is expected to generate 1.88 times less return on investment than Gmo Emerging. But when comparing it to its historical volatility, Multisector Bond Sma is 2.76 times less risky than Gmo Emerging. It trades about 0.22 of its potential returns per unit of risk. Gmo Emerging Markets is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,257 in Gmo Emerging Markets on May 16, 2025 and sell it today you would earn a total of 88.00 from holding Gmo Emerging Markets or generate 7.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Multisector Bond Sma vs. Gmo Emerging Markets
Performance |
Timeline |
Multisector Bond Sma |
Gmo Emerging Markets |
Multisector Bond and Gmo Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multisector Bond and Gmo Emerging
The main advantage of trading using opposite Multisector Bond and Gmo Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multisector Bond position performs unexpectedly, Gmo 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 Gmo Emerging will offset losses from the drop in Gmo Emerging's long position.Multisector Bond vs. Precious Metals And | Multisector Bond vs. Franklin Gold Precious | Multisector Bond vs. Precious Metals Ultrasector | Multisector Bond vs. James Balanced Golden |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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