Correlation Between Chase Growth and Mfs International
Can any of the company-specific risk be diversified away by investing in both Chase Growth and Mfs International 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 Chase Growth and Mfs International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chase Growth Fund and Mfs International Value, you can compare the effects of market volatilities on Chase Growth and Mfs International 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 Chase Growth with a short position of Mfs International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chase Growth and Mfs International.
Diversification Opportunities for Chase Growth and Mfs International
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chase and Mfs is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Chase Growth Fund and Mfs International Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs International Value and Chase Growth 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 Chase Growth Fund are associated (or correlated) with Mfs International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs International Value has no effect on the direction of Chase Growth i.e., Chase Growth and Mfs International go up and down completely randomly.
Pair Corralation between Chase Growth and Mfs International
Assuming the 90 days horizon Chase Growth Fund is expected to generate 1.14 times more return on investment than Mfs International. However, Chase Growth is 1.14 times more volatile than Mfs International Value. It trades about 0.34 of its potential returns per unit of risk. Mfs International Value is currently generating about -0.07 per unit of risk. If you would invest 1,644 in Chase Growth Fund on September 1, 2024 and sell it today you would earn a total of 118.00 from holding Chase Growth Fund or generate 7.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Chase Growth Fund vs. Mfs International Value
Performance |
Timeline |
Chase Growth |
Mfs International Value |
Chase Growth and Mfs International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chase Growth and Mfs International
The main advantage of trading using opposite Chase Growth and Mfs International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chase Growth position performs unexpectedly, Mfs International 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 International will offset losses from the drop in Mfs International's long position.Chase Growth vs. The Chesapeake Growth | Chase Growth vs. Aston Montag Caldwell | Chase Growth vs. The Jensen Portfolio | Chase Growth vs. Cambiar Opportunity Fund |
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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 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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