Correlation Between Mfs Emerging and Ashmore Emerging
Can any of the company-specific risk be diversified away by investing in both Mfs Emerging and Ashmore Emerging 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 Mfs Emerging and Ashmore Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Emerging Markets and Ashmore Emerging Markets, you can compare the effects of market volatilities on Mfs Emerging and Ashmore Emerging 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 Mfs Emerging with a short position of Ashmore Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Emerging and Ashmore Emerging.
Diversification Opportunities for Mfs Emerging and Ashmore Emerging
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mfs and Ashmore is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Emerging Markets and Ashmore Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ashmore Emerging Markets and Mfs 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 Mfs Emerging Markets are associated (or correlated) with Ashmore Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ashmore Emerging Markets has no effect on the direction of Mfs Emerging i.e., Mfs Emerging and Ashmore Emerging go up and down completely randomly.
Pair Corralation between Mfs Emerging and Ashmore Emerging
Assuming the 90 days horizon Mfs Emerging Markets is expected to under-perform the Ashmore Emerging. In addition to that, Mfs Emerging is 1.04 times more volatile than Ashmore Emerging Markets. It trades about -0.53 of its total potential returns per unit of risk. Ashmore Emerging Markets is currently generating about 0.05 per unit of volatility. If you would invest 482.00 in Ashmore Emerging Markets on October 7, 2024 and sell it today you would earn a total of 1.00 from holding Ashmore Emerging Markets or generate 0.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mfs Emerging Markets vs. Ashmore Emerging Markets
Performance |
Timeline |
Mfs Emerging Markets |
Ashmore Emerging Markets |
Mfs Emerging and Ashmore Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs Emerging and Ashmore Emerging
The main advantage of trading using opposite Mfs Emerging and Ashmore Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Emerging position performs unexpectedly, Ashmore Emerging 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 Ashmore Emerging will offset losses from the drop in Ashmore Emerging's long position.Mfs Emerging vs. Prudential Government Money | Mfs Emerging vs. Short Term Government Fund | Mfs Emerging vs. Voya Government Money | Mfs Emerging vs. Schwab Government Money |
Ashmore Emerging vs. Rbc Microcap Value | Ashmore Emerging vs. Arrow Managed Futures | Ashmore Emerging vs. Vy Franklin Income | Ashmore Emerging vs. Kirr Marbach Partners |
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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