Correlation Between Barings Emerging and Mfs Lifetime
Can any of the company-specific risk be diversified away by investing in both Barings Emerging and Mfs Lifetime 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 Barings Emerging and Mfs Lifetime into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barings Emerging Markets and Mfs Lifetime 2055, you can compare the effects of market volatilities on Barings Emerging and Mfs Lifetime 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 Barings Emerging with a short position of Mfs Lifetime. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barings Emerging and Mfs Lifetime.
Diversification Opportunities for Barings Emerging and Mfs Lifetime
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Barings and Mfs is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Barings Emerging Markets and Mfs Lifetime 2055 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Lifetime 2055 and Barings 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 Barings Emerging Markets are associated (or correlated) with Mfs Lifetime. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Lifetime 2055 has no effect on the direction of Barings Emerging i.e., Barings Emerging and Mfs Lifetime go up and down completely randomly.
Pair Corralation between Barings Emerging and Mfs Lifetime
Assuming the 90 days horizon Barings Emerging is expected to generate 14.81 times less return on investment than Mfs Lifetime. But when comparing it to its historical volatility, Barings Emerging Markets is 1.63 times less risky than Mfs Lifetime. It trades about 0.01 of its potential returns per unit of risk. Mfs Lifetime 2055 is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,060 in Mfs Lifetime 2055 on September 12, 2024 and sell it today you would earn a total of 92.00 from holding Mfs Lifetime 2055 or generate 4.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Barings Emerging Markets vs. Mfs Lifetime 2055
Performance |
Timeline |
Barings Emerging Markets |
Mfs Lifetime 2055 |
Barings Emerging and Mfs Lifetime Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barings Emerging and Mfs Lifetime
The main advantage of trading using opposite Barings Emerging and Mfs Lifetime positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barings Emerging position performs unexpectedly, Mfs Lifetime 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 Lifetime will offset losses from the drop in Mfs Lifetime's long position.Barings Emerging vs. Fidelity New Markets | Barings Emerging vs. Fidelity New Markets | Barings Emerging vs. Fidelity New Markets | Barings Emerging vs. SCOR PK |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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