Correlation Between Mfs Emerging and Segall Bryant

Can any of the company-specific risk be diversified away by investing in both Mfs Emerging and Segall Bryant 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 Emerging and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Mfs Emerging Markets and Segall Bryant Hamill, you can compare the effects of market volatilities on Mfs Emerging and Segall Bryant 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 Emerging with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Emerging and Segall Bryant.

Diversification Opportunities for Mfs Emerging and Segall Bryant

0.0

Correlation Coefficient

Mfs Emerging  Segall Bryant

Pay attention - limited upside

The 3 months correlation between Mfs and Segall is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Emerging Markets and Segall Bryant Hamill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamill and Mfs Emerging 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 Emerging Markets are associated (or correlated) with Segall Bryant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Segall Bryant Hamill has no effect on the direction of Mfs Emerging i.e., Mfs Emerging and Segall Bryant go up and down completely randomly.

Pair Corralation between Mfs Emerging and Segall Bryant

If you would invest  1,175  in Mfs Emerging Markets on December 28, 2024 and sell it today you would earn a total of  23.00  from holding Mfs Emerging Markets or generate 1.96% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Mfs Emerging Markets  vs.  Segall Bryant Hamill

Mfs Emerging Markets

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Mfs Emerging Markets are ranked lower than 10 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward indicators, Mfs Emerging is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Segall Bryant Hamill

Risk-Adjusted Performance

Very Weak

Over the last 90 days Segall Bryant Hamill has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong fundamental indicators, Segall Bryant 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 Emerging and Segall Bryant

The main advantage of trading using opposite Mfs Emerging and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Emerging position performs unexpectedly, Segall Bryant 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 Segall Bryant will offset losses from the drop in Segall Bryant's long position.

The idea behind Mfs Emerging Markets and Segall Bryant Hamill 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.