Correlation Between Mfs Prudent and Mfs Blended
Can any of the company-specific risk be diversified away by investing in both Mfs Prudent 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 Mfs Prudent and Mfs Blended into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Prudent Investor and Mfs Blended Research, you can compare the effects of market volatilities on Mfs Prudent 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 Mfs Prudent with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Prudent and Mfs Blended.
Diversification Opportunities for Mfs Prudent and Mfs Blended
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mfs and Mfs is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Prudent Investor 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 Mfs Prudent 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 Prudent Investor 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 Mfs Prudent i.e., Mfs Prudent and Mfs Blended go up and down completely randomly.
Pair Corralation between Mfs Prudent and Mfs Blended
Assuming the 90 days horizon Mfs Prudent is expected to generate 3.97 times less return on investment than Mfs Blended. But when comparing it to its historical volatility, Mfs Prudent Investor is 2.21 times less risky than Mfs Blended. It trades about 0.05 of its potential returns per unit of risk. Mfs Blended Research is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,204 in Mfs Blended Research on August 28, 2024 and sell it today you would earn a total of 214.00 from holding Mfs Blended Research or generate 17.77% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs Prudent Investor vs. Mfs Blended Research
Performance |
| Timeline |
| Mfs Prudent Investor |
| Mfs Blended Research |
Mfs Prudent and Mfs Blended Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs Prudent and Mfs Blended
The main advantage of trading using opposite Mfs Prudent and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Prudent 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.| Mfs Prudent vs. Nuveen All American Municipal | Mfs Prudent vs. Morningstar Defensive Bond | Mfs Prudent vs. Bbh Intermediate Municipal | Mfs Prudent vs. Franklin High Yield |
| Mfs Blended vs. Mfs Prudent Investor | Mfs Blended vs. Mfs Prudent Investor | Mfs Blended vs. Mfs Prudent Investor | Mfs Blended vs. Mfs Prudent Investor |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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