Correlation Between Mfs Blended and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Mfs Blended and Dow Jones 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 Blended and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Blended Research and Dow Jones Industrial, you can compare the effects of market volatilities on Mfs Blended and Dow Jones 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 Blended with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Blended and Dow Jones.
Diversification Opportunities for Mfs Blended and Dow Jones
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Mfs and Dow is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Blended Research and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Mfs Blended 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 Blended Research are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Mfs Blended i.e., Mfs Blended and Dow Jones go up and down completely randomly.
Pair Corralation between Mfs Blended and Dow Jones
Assuming the 90 days horizon Mfs Blended is expected to generate 1.66 times less return on investment than Dow Jones. In addition to that, Mfs Blended is 1.24 times more volatile than Dow Jones Industrial. It trades about 0.15 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.3 per unit of volatility. If you would invest 4,214,154 in Dow Jones Industrial on August 31, 2024 and sell it today you would earn a total of 276,911 from holding Dow Jones Industrial or generate 6.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 95.65% |
| Values | Daily Returns |
Mfs Blended Research vs. Dow Jones Industrial
Performance |
| Timeline |
Mfs Blended and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Mfs Blended Research
Pair trading matchups for Mfs Blended
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Mfs Blended and Dow Jones
The main advantage of trading using opposite Mfs Blended and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Blended position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Mfs Blended vs. Fidelity Series 1000 | Mfs Blended vs. John Hancock Investment | Mfs Blended vs. Legg Mason Bw | Mfs Blended vs. Dana Large Cap |
| Dow Jones vs. Catalyst Pharmaceuticals | Dow Jones vs. Sphere Entertainment Co | Dow Jones vs. National CineMedia | Dow Jones vs. Mink Therapeutics |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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