Correlation Between Dow Jones and Electra Battery

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

Diversification Opportunities for Dow Jones and Electra Battery

0.19

Correlation Coefficient

Dow Jones  Electra Battery

Average diversification

The 3 months correlation between Dow and Electra is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Electra Battery Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Electra Battery Materials 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 Electra Battery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Electra Battery Materials has no effect on the direction of Dow Jones i.e., Dow Jones and Electra Battery go up and down completely randomly.

Pair Corralation between Dow Jones and Electra Battery

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.18 times more return on investment than Electra Battery. However, Dow Jones Industrial is 5.66 times less risky than Electra Battery. It trades about -0.04 of its potential returns per unit of risk. Electra Battery Materials is currently generating about -0.21 per unit of risk. If you would invest  4,257,373  in Dow Jones Industrial on December 29, 2024 and sell it today you would lose (98,983) from holding Dow Jones Industrial or give up 2.32% of portfolio value over 90 days.

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

Dow Jones Industrial  vs.  Electra Battery Materials

Pair Trading with Dow Jones and Electra Battery

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

The idea behind Dow Jones Industrial and Electra Battery Materials 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.