Correlation Between Jpmorgan Equity and Mfs Growth
Can any of the company-specific risk be diversified away by investing in both Jpmorgan Equity and Mfs Growth 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 Jpmorgan Equity and Mfs Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jpmorgan Equity Income and Mfs Growth Fund, you can compare the effects of market volatilities on Jpmorgan Equity and Mfs Growth 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 Jpmorgan Equity with a short position of Mfs Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jpmorgan Equity and Mfs Growth.
Diversification Opportunities for Jpmorgan Equity and Mfs Growth
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Jpmorgan and Mfs is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Jpmorgan Equity Income and Mfs Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Growth Fund and Jpmorgan Equity 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 Jpmorgan Equity Income are associated (or correlated) with Mfs Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Growth Fund has no effect on the direction of Jpmorgan Equity i.e., Jpmorgan Equity and Mfs Growth go up and down completely randomly.
Pair Corralation between Jpmorgan Equity and Mfs Growth
Assuming the 90 days horizon Jpmorgan Equity Income is expected to under-perform the Mfs Growth. In addition to that, Jpmorgan Equity is 1.12 times more volatile than Mfs Growth Fund. It trades about -0.04 of its total potential returns per unit of risk. Mfs Growth Fund is currently generating about 0.19 per unit of volatility. If you would invest 21,121 in Mfs Growth Fund on September 18, 2024 and sell it today you would earn a total of 2,320 from holding Mfs Growth Fund or generate 10.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jpmorgan Equity Income vs. Mfs Growth Fund
Performance |
Timeline |
Jpmorgan Equity Income |
Mfs Growth Fund |
Jpmorgan Equity and Mfs Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jpmorgan Equity and Mfs Growth
The main advantage of trading using opposite Jpmorgan Equity and Mfs Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jpmorgan Equity position performs unexpectedly, Mfs Growth 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 Growth will offset losses from the drop in Mfs Growth's long position.Jpmorgan Equity vs. Jpmorgan Large Cap | Jpmorgan Equity vs. Jpmorgan Growth Advantage | Jpmorgan Equity vs. Mfs International Diversification | Jpmorgan Equity vs. Jpmorgan Hedged Equity |
Mfs Growth vs. Mfs Value Fund | Mfs Growth vs. Mfs International Value | Mfs Growth vs. Mfs Mid Cap | Mfs Growth vs. Mfs International Diversification |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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