Correlation Between Exchange Traded and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Exchange Traded and Dow Jones 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 Exchange Traded and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Exchange Traded Concepts and Dow Jones Industrial, you can compare the effects of market volatilities on Exchange Traded and Dow Jones 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 Exchange Traded with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Exchange Traded and Dow Jones.
Diversification Opportunities for Exchange Traded and Dow Jones
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Exchange and Dow is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Exchange Traded Concepts and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Exchange Traded 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 Exchange Traded Concepts are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Exchange Traded i.e., Exchange Traded and Dow Jones go up and down completely randomly.
Pair Corralation between Exchange Traded and Dow Jones
If you would invest (100.00) in Exchange Traded Concepts on December 1, 2024 and sell it today you would earn a total of 100.00 from holding Exchange Traded Concepts or generate -100.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
Exchange Traded Concepts vs. Dow Jones Industrial
Performance |
Timeline |
Exchange Traded and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Exchange Traded and Dow Jones
The main advantage of trading using opposite Exchange Traded and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Exchange Traded position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.The idea behind Exchange Traded Concepts and Dow Jones Industrial 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.Dow Jones vs. Cannae Holdings | Dow Jones vs. Fidus Investment Corp | Dow Jones vs. SEI Investments | Dow Jones vs. Cracker Barrel Old |
Check out your portfolio center.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.
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