Correlation Between Cref Inflation-linked and Mfs Global
Can any of the company-specific risk be diversified away by investing in both Cref Inflation-linked and Mfs Global 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 Cref Inflation-linked and Mfs Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cref Inflation Linked Bond and Mfs Global Real, you can compare the effects of market volatilities on Cref Inflation-linked and Mfs Global 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 Cref Inflation-linked with a short position of Mfs Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cref Inflation-linked and Mfs Global.
Diversification Opportunities for Cref Inflation-linked and Mfs Global
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Cref and Mfs is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Cref Inflation Linked Bond and Mfs Global Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Global Real and Cref Inflation-linked 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 Cref Inflation Linked Bond are associated (or correlated) with Mfs Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Global Real has no effect on the direction of Cref Inflation-linked i.e., Cref Inflation-linked and Mfs Global go up and down completely randomly.
Pair Corralation between Cref Inflation-linked and Mfs Global
Assuming the 90 days trading horizon Cref Inflation Linked Bond is expected to generate 0.24 times more return on investment than Mfs Global. However, Cref Inflation Linked Bond is 4.12 times less risky than Mfs Global. It trades about 0.23 of its potential returns per unit of risk. Mfs Global Real is currently generating about 0.0 per unit of risk. If you would invest 8,779 in Cref Inflation Linked Bond on May 16, 2025 and sell it today you would earn a total of 219.00 from holding Cref Inflation Linked Bond or generate 2.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Cref Inflation Linked Bond vs. Mfs Global Real
Performance |
Timeline |
Cref Inflation Linked |
Mfs Global Real |
Cref Inflation-linked and Mfs Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cref Inflation-linked and Mfs Global
The main advantage of trading using opposite Cref Inflation-linked and Mfs Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cref Inflation-linked position performs unexpectedly, Mfs Global 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 Global will offset losses from the drop in Mfs Global's long position.Cref Inflation-linked vs. Ocm Mutual Fund | Cref Inflation-linked vs. International Investors Gold | Cref Inflation-linked vs. Franklin Gold Precious | Cref Inflation-linked vs. World Precious Minerals |
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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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