Correlation Between Dow Jones and Mfs Blended
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Mfs Blended 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 Dow Jones and Mfs Blended into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Mfs Blended Research, you can compare the effects of market volatilities on Dow Jones and Mfs Blended 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 Dow Jones with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Mfs Blended.
Diversification Opportunities for Dow Jones and Mfs Blended
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dow and Mfs is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Mfs Blended Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Blended Research and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Mfs Blended. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Blended Research has no effect on the direction of Dow Jones i.e., Dow Jones and Mfs Blended go up and down completely randomly.
Pair Corralation between Dow Jones and Mfs Blended
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Mfs Blended. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.26 times less risky than Mfs Blended. The index trades about -0.27 of its potential returns per unit of risk. The Mfs Blended Research is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,400 in Mfs Blended Research on November 29, 2024 and sell it today you would earn a total of 44.00 from holding Mfs Blended Research or generate 3.14% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Dow Jones Industrial vs. Mfs Blended Research
Performance |
| Timeline |
Dow Jones and Mfs Blended Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Mfs Blended Research
Pair trading matchups for Mfs Blended
Pair Trading with Dow Jones and Mfs Blended
The main advantage of trading using opposite Dow Jones and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Mfs Blended 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 Blended will offset losses from the drop in Mfs Blended's long position.| Dow Jones vs. Starbucks | Dow Jones vs. Westinghouse Air Brake | Dow Jones vs. Finnair Oyj | Dow Jones vs. Mesa Air Group |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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