Correlation Between Gmo High and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Gmo High and Emerging Markets 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 Gmo High and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo High Yield and Emerging Markets Portfolio, you can compare the effects of market volatilities on Gmo High and Emerging Markets 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 Gmo High with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo High and Emerging Markets.
Diversification Opportunities for Gmo High and Emerging Markets
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gmo and Emerging is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Gmo High Yield and Emerging Markets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Por and Gmo High 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 Gmo High Yield are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets Por has no effect on the direction of Gmo High i.e., Gmo High and Emerging Markets go up and down completely randomly.
Pair Corralation between Gmo High and Emerging Markets
Assuming the 90 days horizon Gmo High is expected to generate 3.26 times less return on investment than Emerging Markets. But when comparing it to its historical volatility, Gmo High Yield is 3.69 times less risky than Emerging Markets. It trades about 0.32 of its potential returns per unit of risk. Emerging Markets Portfolio is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 2,129 in Emerging Markets Portfolio on April 27, 2025 and sell it today you would earn a total of 297.00 from holding Emerging Markets Portfolio or generate 13.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gmo High Yield vs. Emerging Markets Portfolio
Performance |
Timeline |
Gmo High Yield |
Emerging Markets Por |
Gmo High and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo High and Emerging Markets
The main advantage of trading using opposite Gmo High and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo High position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.Gmo High vs. Alphacentric Lifesci Healthcare | Gmo High vs. Tekla Healthcare Investors | Gmo High vs. Hartford Healthcare Hls | Gmo High vs. Highland Longshort Healthcare |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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