Correlation Between Mfs Blended and Massachusetts Investors
Can any of the company-specific risk be diversified away by investing in both Mfs Blended and Massachusetts Investors 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 Massachusetts Investors 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 Massachusetts Investors Growth, you can compare the effects of market volatilities on Mfs Blended and Massachusetts Investors 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 Massachusetts Investors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Blended and Massachusetts Investors.
Diversification Opportunities for Mfs Blended and Massachusetts Investors
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mfs and Massachusetts is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Blended Research and Massachusetts Investors Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Massachusetts Investors 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 Massachusetts Investors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Massachusetts Investors has no effect on the direction of Mfs Blended i.e., Mfs Blended and Massachusetts Investors go up and down completely randomly.
Pair Corralation between Mfs Blended and Massachusetts Investors
Assuming the 90 days horizon Mfs Blended is expected to generate 1.23 times less return on investment than Massachusetts Investors. In addition to that, Mfs Blended is 1.5 times more volatile than Massachusetts Investors Growth. It trades about 0.04 of its total potential returns per unit of risk. Massachusetts Investors Growth is currently generating about 0.08 per unit of volatility. If you would invest 3,636 in Massachusetts Investors Growth on August 29, 2024 and sell it today you would earn a total of 1,265 from holding Massachusetts Investors Growth or generate 34.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Blended Research vs. Massachusetts Investors Growth
Performance |
| Timeline |
| Mfs Blended Research |
| Massachusetts Investors |
Mfs Blended and Massachusetts Investors Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Blended and Massachusetts Investors
The main advantage of trading using opposite Mfs Blended and Massachusetts Investors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Blended position performs unexpectedly, Massachusetts Investors 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 Massachusetts Investors will offset losses from the drop in Massachusetts Investors' long position.| Mfs Blended vs. Ancorathelen Small Mid Cap | Mfs Blended vs. Ab Small Cap | Mfs Blended vs. Ab Small Cap | Mfs Blended vs. Touchstone Small Cap |
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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