Correlation Between Dow Jones and Mfs Diversified

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

By analyzing existing cross correlation between Dow Jones Industrial and Mfs Diversified Income, you can compare the effects of market volatilities on Dow Jones and Mfs Diversified 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 Dow Jones with a short position of Mfs Diversified. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Mfs Diversified.

Diversification Opportunities for Dow Jones and Mfs Diversified

-0.02

Correlation Coefficient

Dow Jones  Mfs Diversified

Good diversification

The 3 months correlation between Dow and Mfs is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Mfs Diversified Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Diversified Income and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Mfs Diversified. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Diversified Income has no effect on the direction of Dow Jones i.e., Dow Jones and Mfs Diversified go up and down completely randomly.

Pair Corralation between Dow Jones and Mfs Diversified

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Mfs Diversified. In addition to that, Dow Jones is 2.6 times more volatile than Mfs Diversified Income. It trades about -0.04 of its total potential returns per unit of risk. Mfs Diversified Income is currently generating about 0.1 per unit of volatility. If you would invest  1,192  in Mfs Diversified Income on December 28, 2024 and sell it today you would earn a total of  24.00  from holding Mfs Diversified Income or generate 2.01% return on investment over 90 days.

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

Dow Jones Industrial  vs.  Mfs Diversified Income

Pair Trading with Dow Jones and Mfs Diversified

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

The idea behind Dow Jones Industrial and Mfs Diversified Income 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.