Correlation Between Dow Jones and Blackrock High

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

Diversification Opportunities for Dow Jones and Blackrock High

0.72

Correlation Coefficient

Dow Jones  Blackrock High

Poor diversification

The 3 months correlation between Dow and Blackrock is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Blackrock High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blackrock High Income 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 Blackrock High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blackrock High Income has no effect on the direction of Dow Jones i.e., Dow Jones and Blackrock High go up and down completely randomly.

Pair Corralation between Dow Jones and Blackrock High

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 2.09 times more return on investment than Blackrock High. However, Dow Jones is 2.09 times more volatile than Blackrock High Income. It trades about 0.03 of its potential returns per unit of risk. Blackrock High Income is currently generating about -0.05 per unit of risk. If you would invest  4,208,037  in Dow Jones Industrial on October 8, 2024 and sell it today you would earn a total of  62,619  from holding Dow Jones Industrial or generate 1.49% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.41%
Values	Daily Returns

Dow Jones Industrial  vs.  Blackrock High Income

Pair Trading with Dow Jones and Blackrock High

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

The idea behind Dow Jones Industrial and Blackrock High Income 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.