Correlation Between Emerging Markets and Ultra Fund
Can any of the company-specific risk be diversified away by investing in both Emerging Markets and Ultra Fund 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 Emerging Markets and Ultra Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emerging Markets Fund and Ultra Fund C, you can compare the effects of market volatilities on Emerging Markets and Ultra Fund 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 Emerging Markets with a short position of Ultra Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emerging Markets and Ultra Fund.
Diversification Opportunities for Emerging Markets and Ultra Fund
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Emerging and Ultra is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Emerging Markets Fund and Ultra Fund C in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ultra Fund C and Emerging Markets 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 Emerging Markets Fund are associated (or correlated) with Ultra Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ultra Fund C has no effect on the direction of Emerging Markets i.e., Emerging Markets and Ultra Fund go up and down completely randomly.
Pair Corralation between Emerging Markets and Ultra Fund
Assuming the 90 days horizon Emerging Markets Fund is expected to generate 0.73 times more return on investment than Ultra Fund. However, Emerging Markets Fund is 1.37 times less risky than Ultra Fund. It trades about 0.02 of its potential returns per unit of risk. Ultra Fund C is currently generating about -0.14 per unit of risk. If you would invest 1,143 in Emerging Markets Fund on December 30, 2024 and sell it today you would earn a total of 11.00 from holding Emerging Markets Fund or generate 0.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Emerging Markets Fund vs. Ultra Fund C
Performance |
Timeline |
Emerging Markets |
Ultra Fund C |
Emerging Markets and Ultra Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Emerging Markets and Ultra Fund
The main advantage of trading using opposite Emerging Markets and Ultra Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emerging Markets position performs unexpectedly, Ultra Fund 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 Ultra Fund will offset losses from the drop in Ultra Fund's long position.Emerging Markets vs. International Growth Fund | Emerging Markets vs. Value Fund I | Emerging Markets vs. Mfs International New | Emerging Markets vs. Heritage Fund I |
Ultra Fund vs. Ultra Fund R6 | Ultra Fund vs. Select Fund C | Ultra Fund vs. Ultra Fund R | Ultra Fund vs. Select Fund R |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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