Correlation Between Mfs Series and Mfs Blended

Can any of the company-specific risk be diversified away by investing in both Mfs Series 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 Series 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 Series Trust and Mfs Blended Research, you can compare the effects of market volatilities on Mfs Series 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 Series with a short position of Mfs Blended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Series and Mfs Blended.

Diversification Opportunities for Mfs Series and Mfs Blended

-0.57

Correlation Coefficient

Mfs Series  Mfs Blended

Excellent diversification

The 3 months correlation between Mfs and Mfs is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Series Trust 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 Series 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 Series Trust 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 Series i.e., Mfs Series and Mfs Blended go up and down completely randomly.

Pair Corralation between Mfs Series and Mfs Blended

Assuming the 90 days horizon Mfs Series Trust is expected to generate 0.29 times more return on investment than Mfs Blended. However, Mfs Series Trust is 3.41 times less risky than Mfs Blended. It trades about 0.02 of its potential returns per unit of risk. Mfs Blended Research is currently generating about -0.1 per unit of risk. If you would invest  1,422  in Mfs Series Trust on September 18, 2024 and sell it today you would earn a total of  3.00  from holding Mfs Series Trust or generate 0.21% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Mfs Series Trust  vs.  Mfs Blended Research

Mfs Series Trust

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Mfs Series Trust has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical indicators, Mfs Series is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Mfs Blended Research

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Mfs Blended Research has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Mfs Blended is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Mfs Series and Mfs Blended

The main advantage of trading using opposite Mfs Series and Mfs Blended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Series 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.

The idea behind Mfs Series Trust and Mfs Blended Research pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.