Correlation Between Dow Jones and Burlington Stores,

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

Diversification Opportunities for Dow Jones and Burlington Stores,

-0.31

Correlation Coefficient

Dow Jones  Burlington Stores,

Very good diversification

The 3 months correlation between Dow and Burlington is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Burlington Stores, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores, 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 Burlington Stores,. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Burlington Stores, has no effect on the direction of Dow Jones i.e., Dow Jones and Burlington Stores, go up and down completely randomly.

Pair Corralation between Dow Jones and Burlington Stores,

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.55 times more return on investment than Burlington Stores,. However, Dow Jones Industrial is 1.83 times less risky than Burlington Stores,. It trades about 0.1 of its potential returns per unit of risk. Burlington Stores, is currently generating about -0.13 per unit of risk. If you would invest  4,290,695  in Dow Jones Industrial on October 22, 2024 and sell it today you would earn a total of  58,088  from holding Dow Jones Industrial or generate 1.35% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	68.42%
Values	Daily Returns

Dow Jones Industrial  vs.  Burlington Stores,

Pair Trading with Dow Jones and Burlington Stores,

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

The idea behind Dow Jones Industrial and Burlington Stores, 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.