Correlation Between Calvert Global and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Calvert Global 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 Calvert Global and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calvert Global Energy and Emerging Markets Fund, you can compare the effects of market volatilities on Calvert Global 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 Calvert Global with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calvert Global and Emerging Markets.
Diversification Opportunities for Calvert Global and Emerging Markets
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Calvert and Emerging is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Calvert Global Energy and Emerging Markets Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets and Calvert Global 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 Calvert Global Energy 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 has no effect on the direction of Calvert Global i.e., Calvert Global and Emerging Markets go up and down completely randomly.
Pair Corralation between Calvert Global and Emerging Markets
Assuming the 90 days horizon Calvert Global Energy is expected to generate 1.28 times more return on investment than Emerging Markets. However, Calvert Global is 1.28 times more volatile than Emerging Markets Fund. It trades about 0.36 of its potential returns per unit of risk. Emerging Markets Fund is currently generating about 0.27 per unit of risk. If you would invest 1,074 in Calvert Global Energy on April 30, 2025 and sell it today you would earn a total of 209.00 from holding Calvert Global Energy or generate 19.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Calvert Global Energy vs. Emerging Markets Fund
Performance |
Timeline |
Calvert Global Energy |
Emerging Markets |
Calvert Global and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calvert Global and Emerging Markets
The main advantage of trading using opposite Calvert Global and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calvert Global 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.Calvert Global vs. Doubleline Emerging Markets | Calvert Global vs. Oberweis Emerging Growth | Calvert Global vs. Aqr Tm Emerging | Calvert Global vs. Franklin Emerging Market |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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