Correlation Between Mfs High and Applied Finance
Can any of the company-specific risk be diversified away by investing in both Mfs High and Applied Finance 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 High and Applied Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs High Income and Applied Finance Explorer, you can compare the effects of market volatilities on Mfs High and Applied Finance 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 High with a short position of Applied Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs High and Applied Finance.
Diversification Opportunities for Mfs High and Applied Finance
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mfs and Applied is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Mfs High Income and Applied Finance Explorer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Finance Explorer and Mfs High 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 High Income are associated (or correlated) with Applied Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Finance Explorer has no effect on the direction of Mfs High i.e., Mfs High and Applied Finance go up and down completely randomly.
Pair Corralation between Mfs High and Applied Finance
Assuming the 90 days horizon Mfs High is expected to generate 2.05 times less return on investment than Applied Finance. But when comparing it to its historical volatility, Mfs High Income is 4.62 times less risky than Applied Finance. It trades about 0.09 of its potential returns per unit of risk. Applied Finance Explorer is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,733 in Applied Finance Explorer on October 9, 2024 and sell it today you would earn a total of 457.00 from holding Applied Finance Explorer or generate 26.37% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mfs High Income vs. Applied Finance Explorer
Performance |
| Timeline |
| Mfs High Income |
| Applied Finance Explorer |
Mfs High and Applied Finance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mfs High and Applied Finance
The main advantage of trading using opposite Mfs High and Applied Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs High position performs unexpectedly, Applied Finance 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 Applied Finance will offset losses from the drop in Applied Finance's long position.| Mfs High vs. Mfs Prudent Investor | Mfs High vs. Mfs Prudent Investor | Mfs High vs. Mfs Prudent Investor | Mfs High vs. Mfs Prudent Investor |
| Applied Finance vs. Thrivent Small Cap | Applied Finance vs. Applied Finance Select | Applied Finance vs. Parnassus Endeavor Fund | Applied Finance vs. Queens Road Small |
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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