Correlation Between Mfs Global and Global Real
Can any of the company-specific risk be diversified away by investing in both Mfs Global and Global Real 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 Global and Global Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Global Real and Global Real Estate, you can compare the effects of market volatilities on Mfs Global and Global Real 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 Global with a short position of Global Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Global and Global Real.
Diversification Opportunities for Mfs Global and Global Real
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Mfs and Global is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Global Real and Global Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Real Estate and Mfs Global 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 Global Real are associated (or correlated) with Global Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Real Estate has no effect on the direction of Mfs Global i.e., Mfs Global and Global Real go up and down completely randomly.
Pair Corralation between Mfs Global and Global Real
Assuming the 90 days horizon Mfs Global Real is expected to under-perform the Global Real. But the mutual fund apears to be less risky and, when comparing its historical volatility, Mfs Global Real is 1.04 times less risky than Global Real. The mutual fund trades about -0.33 of its potential returns per unit of risk. The Global Real Estate is currently generating about -0.28 of returns per unit of risk over similar time horizon. If you would invest 1,392 in Global Real Estate on October 9, 2024 and sell it today you would lose (92.00) from holding Global Real Estate or give up 6.61% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Global Real vs. Global Real Estate
Performance |
| Timeline |
| Mfs Global Real |
| Global Real Estate |
Mfs Global and Global Real Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Global and Global Real
The main advantage of trading using opposite Mfs Global and Global Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Global position performs unexpectedly, Global Real 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 Global Real will offset losses from the drop in Global Real's long position.| Mfs Global vs. Versatile Bond Portfolio | Mfs Global vs. Georgia Tax Free Bond | Mfs Global vs. Dws Government Money | Mfs Global vs. Ab Global Bond |
| Global Real vs. Mid Cap Value | Global Real vs. Equity Growth Fund | Global Real vs. Income Growth Fund | Global Real vs. Diversified Bond Fund |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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