Correlation Between Mfs International and Jpmorgan High
Can any of the company-specific risk be diversified away by investing in both Mfs International and Jpmorgan High 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 International and Jpmorgan High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs International Value and Jpmorgan High Yield, you can compare the effects of market volatilities on Mfs International and Jpmorgan High 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 International with a short position of Jpmorgan High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs International and Jpmorgan High.
Diversification Opportunities for Mfs International and Jpmorgan High
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mfs and Jpmorgan is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Mfs International Value and Jpmorgan High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan High Yield and Mfs International 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 International Value are associated (or correlated) with Jpmorgan High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan High Yield has no effect on the direction of Mfs International i.e., Mfs International and Jpmorgan High go up and down completely randomly.
Pair Corralation between Mfs International and Jpmorgan High
Assuming the 90 days horizon Mfs International Value is expected to under-perform the Jpmorgan High. In addition to that, Mfs International is 5.58 times more volatile than Jpmorgan High Yield. It trades about -0.21 of its total potential returns per unit of risk. Jpmorgan High Yield is currently generating about 0.11 per unit of volatility. If you would invest 652.00 in Jpmorgan High Yield on August 28, 2024 and sell it today you would earn a total of 4.00 from holding Jpmorgan High Yield or generate 0.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mfs International Value vs. Jpmorgan High Yield
Performance |
Timeline |
Mfs International Value |
Jpmorgan High Yield |
Mfs International and Jpmorgan High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs International and Jpmorgan High
The main advantage of trading using opposite Mfs International and Jpmorgan High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs International position performs unexpectedly, Jpmorgan High 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 Jpmorgan High will offset losses from the drop in Jpmorgan High's long position.Mfs International vs. Kinetics Spin Off And | Mfs International vs. Barings Active Short | Mfs International vs. Ultra Short Term Fixed | Mfs International vs. Chartwell Short Duration |
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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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