Correlation Between Ashmore Emerging and Mfs Blended
Can any of the company-specific risk be diversified away by investing in both Ashmore Emerging and Mfs Blended 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 Ashmore Emerging and Mfs Blended into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ashmore Emerging Markets and Mfs Blended Research, you can compare the effects of market volatilities on Ashmore Emerging and Mfs Blended 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 Ashmore Emerging with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ashmore Emerging and Mfs Blended.
Diversification Opportunities for Ashmore Emerging and Mfs Blended
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ashmore and Mfs is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Ashmore Emerging Markets and Mfs Blended Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Blended Research and Ashmore 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 Ashmore Emerging Markets are associated (or correlated) with Mfs Blended. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Blended Research has no effect on the direction of Ashmore Emerging i.e., Ashmore Emerging and Mfs Blended go up and down completely randomly.
Pair Corralation between Ashmore Emerging and Mfs Blended
Assuming the 90 days horizon Ashmore Emerging Markets is expected to generate 0.44 times more return on investment than Mfs Blended. However, Ashmore Emerging Markets is 2.27 times less risky than Mfs Blended. It trades about -0.08 of its potential returns per unit of risk. Mfs Blended Research is currently generating about -0.15 per unit of risk. If you would invest 841.00 in Ashmore Emerging Markets on October 10, 2024 and sell it today you would lose (15.00) from holding Ashmore Emerging Markets or give up 1.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ashmore Emerging Markets vs. Mfs Blended Research
Performance |
Timeline |
Ashmore Emerging Markets |
Mfs Blended Research |
Ashmore Emerging and Mfs Blended Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ashmore Emerging and Mfs Blended
The main advantage of trading using opposite Ashmore Emerging and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ashmore Emerging position performs unexpectedly, Mfs Blended 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 Mfs Blended will offset losses from the drop in Mfs Blended's long position.Ashmore Emerging vs. Pgim Jennison Technology | Ashmore Emerging vs. Global Technology Portfolio | Ashmore Emerging vs. Vanguard Information Technology | Ashmore Emerging vs. Blackrock Science Technology |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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