Correlation Between Gmo High and Mfs Emerging

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

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

Diversification Opportunities for Gmo High and Mfs Emerging

0.51

Correlation Coefficient

Gmo High  Mfs Emerging

Very weak diversification

The 3 months correlation between Gmo and Mfs is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Gmo High Yield and Mfs Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Emerging Markets and Gmo High 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 Gmo High Yield are associated (or correlated) with Mfs Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Emerging Markets has no effect on the direction of Gmo High i.e., Gmo High and Mfs Emerging go up and down completely randomly.

Pair Corralation between Gmo High and Mfs Emerging

Assuming the 90 days horizon Gmo High Yield is expected to under-perform the Mfs Emerging. In addition to that, Gmo High is 2.68 times more volatile than Mfs Emerging Markets. It trades about -0.24 of its total potential returns per unit of risk. Mfs Emerging Markets is currently generating about -0.36 per unit of volatility. If you would invest  3,169  in Mfs Emerging Markets on October 8, 2024 and sell it today you would lose (142.00) from holding Mfs Emerging Markets or give up 4.48% of portfolio value over 90 days.

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

Gmo High Yield  vs.  Mfs Emerging Markets

Gmo High Yield

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Gmo High Yield has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Mfs Emerging Markets

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Mfs Emerging Markets has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's fundamental drivers remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with Gmo High and Mfs Emerging

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

The idea behind Gmo High Yield and Mfs Emerging Markets 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.