Correlation Between Mfs Emerging and Commodityrealreturn
Can any of the company-specific risk be diversified away by investing in both Mfs Emerging and Commodityrealreturn 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 Emerging and Commodityrealreturn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Emerging Markets and Commodityrealreturn Strategy Fund, you can compare the effects of market volatilities on Mfs Emerging and Commodityrealreturn 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 Emerging with a short position of Commodityrealreturn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Emerging and Commodityrealreturn.
Diversification Opportunities for Mfs Emerging and Commodityrealreturn
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mfs and Commodityrealreturn is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Emerging Markets and Commodityrealreturn Strategy F in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodityrealreturn and Mfs 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 Mfs Emerging Markets are associated (or correlated) with Commodityrealreturn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodityrealreturn has no effect on the direction of Mfs Emerging i.e., Mfs Emerging and Commodityrealreturn go up and down completely randomly.
Pair Corralation between Mfs Emerging and Commodityrealreturn
Assuming the 90 days horizon Mfs Emerging Markets is expected to generate 0.34 times more return on investment than Commodityrealreturn. However, Mfs Emerging Markets is 2.92 times less risky than Commodityrealreturn. It trades about 0.03 of its potential returns per unit of risk. Commodityrealreturn Strategy Fund is currently generating about -0.03 per unit of risk. If you would invest 1,201 in Mfs Emerging Markets on August 30, 2024 and sell it today you would earn a total of 2.00 from holding Mfs Emerging Markets or generate 0.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Emerging Markets vs. Commodityrealreturn Strategy F
Performance |
| Timeline |
| Mfs Emerging Markets |
| Commodityrealreturn |
Mfs Emerging and Commodityrealreturn Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Emerging and Commodityrealreturn
The main advantage of trading using opposite Mfs Emerging and Commodityrealreturn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Emerging position performs unexpectedly, Commodityrealreturn 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 Commodityrealreturn will offset losses from the drop in Commodityrealreturn's long position.| Mfs Emerging vs. Cutler Equity | Mfs Emerging vs. Dreyfusstandish Global Fixed | Mfs Emerging vs. Doubleline E Fixed | Mfs Emerging vs. The Hartford Equity |
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.
Other Complementary Tools
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing |