Correlation Between World Energy and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both World Energy 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 World Energy and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between World Energy Fund and Emerging Markets Bond, you can compare the effects of market volatilities on World Energy 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 World Energy with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of World Energy and Emerging Markets.
Diversification Opportunities for World Energy and Emerging Markets
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between World and Emerging is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding World Energy Fund and Emerging Markets Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets Bond and World Energy 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 World Energy Fund 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 Bond has no effect on the direction of World Energy i.e., World Energy and Emerging Markets go up and down completely randomly.
Pair Corralation between World Energy and Emerging Markets
Assuming the 90 days horizon World Energy Fund is expected to generate 4.17 times more return on investment than Emerging Markets. However, World Energy is 4.17 times more volatile than Emerging Markets Bond. It trades about 0.2 of its potential returns per unit of risk. Emerging Markets Bond is currently generating about 0.03 per unit of risk. If you would invest 1,302 in World Energy Fund on September 13, 2024 and sell it today you would earn a total of 197.00 from holding World Energy Fund or generate 15.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
World Energy Fund vs. Emerging Markets Bond
Performance |
Timeline |
World Energy |
Emerging Markets Bond |
World Energy and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with World Energy and Emerging Markets
The main advantage of trading using opposite World Energy and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if World Energy 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.World Energy vs. Hennessy Bp Energy | World Energy vs. Franklin Natural Resources | World Energy vs. Icon Natural Resources | World Energy vs. Gamco Natural Resources |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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