Correlation Between Dow Jones and CMS Energy

Can any of the company-specific risk be diversified away by investing in both Dow Jones and CMS Energy 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 CMS Energy 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 CMS Energy Corp, you can compare the effects of market volatilities on Dow Jones and CMS Energy 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 CMS Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and CMS Energy.

Diversification Opportunities for Dow Jones and CMS Energy

-0.32

Correlation Coefficient

Dow Jones  CMS Energy

Very good diversification

The 3 months correlation between Dow and CMS is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and CMS Energy Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CMS Energy Corp 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 CMS Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CMS Energy Corp has no effect on the direction of Dow Jones i.e., Dow Jones and CMS Energy go up and down completely randomly.

Pair Corralation between Dow Jones and CMS Energy

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 1.65 times more return on investment than CMS Energy. However, Dow Jones is 1.65 times more volatile than CMS Energy Corp. It trades about 0.19 of its potential returns per unit of risk. CMS Energy Corp is currently generating about 0.01 per unit of risk. If you would invest  4,093,693  in Dow Jones Industrial on September 3, 2024 and sell it today you would earn a total of  384,507  from holding Dow Jones Industrial or generate 9.39% 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.  CMS Energy Corp

Pair Trading with Dow Jones and CMS Energy

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

The idea behind Dow Jones Industrial and CMS Energy Corp 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.