Correlation Between Global Core and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Global Core 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 Global Core and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global E Portfolio and Emerging Markets Portfolio, you can compare the effects of market volatilities on Global Core 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 Global Core with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Core and Emerging Markets.
Diversification Opportunities for Global Core and Emerging Markets
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between GLOBAL and Emerging is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Global E Portfolio 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 Global Core 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 Global E Portfolio 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 Global Core i.e., Global Core and Emerging Markets go up and down completely randomly.
Pair Corralation between Global Core and Emerging Markets
Assuming the 90 days horizon Global E Portfolio is expected to generate 1.38 times more return on investment than Emerging Markets. However, Global Core is 1.38 times more volatile than Emerging Markets Portfolio. It trades about 0.24 of its potential returns per unit of risk. Emerging Markets Portfolio is currently generating about 0.32 per unit of risk. If you would invest 1,828 in Global E Portfolio on April 7, 2025 and sell it today you would earn a total of 451.00 from holding Global E Portfolio or generate 24.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Global E Portfolio vs. Emerging Markets Portfolio
Performance |
Timeline |
Global E Portfolio |
Emerging Markets Por |
Global Core and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Core and Emerging Markets
The main advantage of trading using opposite Global Core and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Core 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.Global Core vs. T Rowe Price | Global Core vs. Auer Growth Fund | Global Core vs. Gmo Quality Fund | Global Core vs. Semiconductor Ultrasector Profund |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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