Correlation Between Dow Jones and 26442CAB0

Can any of the company-specific risk be diversified away by investing in both Dow Jones and 26442CAB0 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 26442CAB0 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 DUKE ENERGY CAROLINAS, you can compare the effects of market volatilities on Dow Jones and 26442CAB0 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 26442CAB0. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and 26442CAB0.

Diversification Opportunities for Dow Jones and 26442CAB0

-0.55

Correlation Coefficient

Dow Jones  26442CAB0

Excellent diversification

The 3 months correlation between Dow and 26442CAB0 is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and DUKE ENERGY CAROLINAS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DUKE ENERGY CAROLINAS 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 26442CAB0. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DUKE ENERGY CAROLINAS has no effect on the direction of Dow Jones i.e., Dow Jones and 26442CAB0 go up and down completely randomly.

Pair Corralation between Dow Jones and 26442CAB0

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the 26442CAB0. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.39 times less risky than 26442CAB0. The index trades about -0.03 of its potential returns per unit of risk. The DUKE ENERGY CAROLINAS is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  10,420  in DUKE ENERGY CAROLINAS on December 26, 2024 and sell it today you would earn a total of  107.00  from holding DUKE ENERGY CAROLINAS or generate 1.03% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	81.67%
Values	Daily Returns

Dow Jones Industrial  vs.  DUKE ENERGY CAROLINAS

Pair Trading with Dow Jones and 26442CAB0

The main advantage of trading using opposite Dow Jones and 26442CAB0 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, 26442CAB0 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 26442CAB0 will offset losses from the drop in 26442CAB0's long position.

The idea behind Dow Jones Industrial and DUKE ENERGY CAROLINAS 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.

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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.