Correlation Between Dow Jones and 655844CP1

Can any of the company-specific risk be diversified away by investing in both Dow Jones and 655844CP1 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 655844CP1 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 NSC 455 01 JUN 53, you can compare the effects of market volatilities on Dow Jones and 655844CP1 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 655844CP1. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and 655844CP1.

Diversification Opportunities for Dow Jones and 655844CP1

-0.02

Correlation Coefficient

Dow Jones  655844CP1

Good diversification

The 3 months correlation between Dow and 655844CP1 is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and NSC 455 01 JUN 53 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NSC 455 01 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 655844CP1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NSC 455 01 has no effect on the direction of Dow Jones i.e., Dow Jones and 655844CP1 go up and down completely randomly.

Pair Corralation between Dow Jones and 655844CP1

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the 655844CP1. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 1.23 times less risky than 655844CP1. The index trades about -0.12 of its potential returns per unit of risk. The NSC 455 01 JUN 53 is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  8,303  in NSC 455 01 JUN 53 on December 24, 2024 and sell it today you would lose (22.00) from holding NSC 455 01 JUN 53 or give up 0.26% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	95.35%
Values	Daily Returns

Dow Jones Industrial  vs.  NSC 455 01 JUN 53

Pair Trading with Dow Jones and 655844CP1

The main advantage of trading using opposite Dow Jones and 655844CP1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, 655844CP1 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 655844CP1 will offset losses from the drop in 655844CP1's long position.

The idea behind Dow Jones Industrial and NSC 455 01 JUN 53 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.