Correlation Between Dow Jones and Guggenheim World

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

Diversification Opportunities for Dow Jones and Guggenheim World

0.42

Correlation Coefficient

Dow Jones  Guggenheim World

Very weak diversification

The 3 months correlation between Dow and Guggenheim is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Guggenheim World Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim World Equity 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 Guggenheim World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim World Equity has no effect on the direction of Dow Jones i.e., Dow Jones and Guggenheim World go up and down completely randomly.

Pair Corralation between Dow Jones and Guggenheim World

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Guggenheim World. In addition to that, Dow Jones is 1.17 times more volatile than Guggenheim World Equity. It trades about -0.06 of its total potential returns per unit of risk. Guggenheim World Equity is currently generating about 0.05 per unit of volatility. If you would invest  1,610  in Guggenheim World Equity on December 24, 2024 and sell it today you would earn a total of  30.00  from holding Guggenheim World Equity or generate 1.86% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.36%
Values	Daily Returns

Dow Jones Industrial  vs.  Guggenheim World Equity

Pair Trading with Dow Jones and Guggenheim World

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

The idea behind Dow Jones Industrial and Guggenheim World Equity 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.