Correlation Between NYSE Composite and Mfs Blended
Can any of the company-specific risk be diversified away by investing in both NYSE Composite 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 NYSE Composite and Mfs Blended into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Mfs Blended Research, you can compare the effects of market volatilities on NYSE Composite 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 NYSE Composite with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Mfs Blended.
Diversification Opportunities for NYSE Composite and Mfs Blended
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between NYSE and MFS is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite 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 NYSE Composite 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 NYSE Composite 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 NYSE Composite i.e., NYSE Composite and Mfs Blended go up and down completely randomly.
Pair Corralation between NYSE Composite and Mfs Blended
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.75 times less return on investment than Mfs Blended. But when comparing it to its historical volatility, NYSE Composite is 1.14 times less risky than Mfs Blended. It trades about 0.08 of its potential returns per unit of risk. Mfs Blended Research is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,581 in Mfs Blended Research on September 4, 2024 and sell it today you would earn a total of 1,557 from holding Mfs Blended Research or generate 60.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Mfs Blended Research
Performance |
| Timeline |
NYSE Composite and Mfs Blended Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Mfs Blended Research
Pair trading matchups for Mfs Blended
Pair Trading with NYSE Composite and Mfs Blended
The main advantage of trading using opposite NYSE Composite and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite 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.| NYSE Composite vs. Kite Realty Group | NYSE Composite vs. Tradeweb Markets | NYSE Composite vs. Meiwu Technology Co | NYSE Composite vs. Uber Technologies |
| Mfs Blended vs. Shelton Emerging Markets | Mfs Blended vs. Transamerica Emerging Markets | Mfs Blended vs. Mondrian Emerging Markets | Mfs Blended vs. Ep Emerging Markets |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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