Correlation Between Abrdn Emerging and MFS Investment
Can any of the company-specific risk be diversified away by investing in both Abrdn Emerging and MFS Investment 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 Abrdn Emerging and MFS Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Abrdn Emerging Markets and MFS Investment Grade, you can compare the effects of market volatilities on Abrdn Emerging and MFS Investment 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 Abrdn Emerging with a short position of MFS Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Abrdn Emerging and MFS Investment.
Diversification Opportunities for Abrdn Emerging and MFS Investment
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Abrdn and MFS is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Abrdn Emerging Markets and MFS Investment Grade in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFS Investment Grade and Abrdn 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 Abrdn Emerging Markets are associated (or correlated) with MFS Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFS Investment Grade has no effect on the direction of Abrdn Emerging i.e., Abrdn Emerging and MFS Investment go up and down completely randomly.
Pair Corralation between Abrdn Emerging and MFS Investment
Considering the 90-day investment horizon Abrdn Emerging Markets is expected to generate 2.67 times more return on investment than MFS Investment. However, Abrdn Emerging is 2.67 times more volatile than MFS Investment Grade. It trades about 0.03 of its potential returns per unit of risk. MFS Investment Grade is currently generating about 0.08 per unit of risk. If you would invest 514.00 in Abrdn Emerging Markets on September 5, 2024 and sell it today you would earn a total of 11.00 from holding Abrdn Emerging Markets or generate 2.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Abrdn Emerging Markets vs. MFS Investment Grade
Performance |
Timeline |
Abrdn Emerging Markets |
MFS Investment Grade |
Abrdn Emerging and MFS Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Abrdn Emerging and MFS Investment
The main advantage of trading using opposite Abrdn Emerging and MFS Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Abrdn Emerging position performs unexpectedly, MFS Investment 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 Investment will offset losses from the drop in MFS Investment's long position.Abrdn Emerging vs. DWS Municipal Income | Abrdn Emerging vs. Blackrock Muni Intermediate | Abrdn Emerging vs. Blackrock Muniyield | Abrdn Emerging vs. Flow Capital Corp |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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