Correlation Between Gmo Emerging and Gmo International
Can any of the company-specific risk be diversified away by investing in both Gmo Emerging and Gmo International 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 Emerging and Gmo International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo Emerging Markets and Gmo International Opportunistic, you can compare the effects of market volatilities on Gmo Emerging and Gmo International 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 Emerging with a short position of Gmo International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo Emerging and Gmo International.
Diversification Opportunities for Gmo Emerging and Gmo International
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Gmo and Gmo is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Gmo Emerging Markets and Gmo International Opportunisti in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo International and Gmo 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 Gmo Emerging Markets are associated (or correlated) with Gmo International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo International has no effect on the direction of Gmo Emerging i.e., Gmo Emerging and Gmo International go up and down completely randomly.
Pair Corralation between Gmo Emerging and Gmo International
Assuming the 90 days horizon Gmo Emerging Markets is expected to generate 1.1 times more return on investment than Gmo International. However, Gmo Emerging is 1.1 times more volatile than Gmo International Opportunistic. It trades about 0.06 of its potential returns per unit of risk. Gmo International Opportunistic is currently generating about 0.05 per unit of risk. If you would invest 2,149 in Gmo Emerging Markets on August 29, 2024 and sell it today you would earn a total of 261.00 from holding Gmo Emerging Markets or generate 12.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gmo Emerging Markets vs. Gmo International Opportunisti
Performance |
Timeline |
Gmo Emerging Markets |
Gmo International |
Gmo Emerging and Gmo International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo Emerging and Gmo International
The main advantage of trading using opposite Gmo Emerging and Gmo International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo Emerging position performs unexpectedly, Gmo International 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 International will offset losses from the drop in Gmo International's long position.Gmo Emerging vs. Mutual Of America | Gmo Emerging vs. Lord Abbett Small | Gmo Emerging vs. Vanguard Small Cap Value | Gmo Emerging vs. Ultramid Cap Profund Ultramid Cap |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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