Correlation Between NYSE Composite and DL Industries

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Can any of the company-specific risk be diversified away by investing in both NYSE Composite and DL Industries 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 NYSE Composite and DL Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and DL Industries, you can compare the effects of market volatilities on NYSE Composite and DL Industries 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 NYSE Composite with a short position of DL Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and DL Industries.

Diversification Opportunities for NYSE Composite and DL Industries

  Correlation Coefficient

Poor diversification

The 3 months correlation between NYSE Composite and DLNDY is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and DL Industries Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DL Industries and NYSE Composite 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 NYSE Composite are associated (or correlated) with DL Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DL Industries has no effect on the direction of NYSE Composite i.e., NYSE Composite and DL Industries go up and down completely randomly.

Pair Corralation between NYSE Composite and DL Industries

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.43 times more return on investment than DL Industries. However, NYSE Composite is 2.32 times less risky than DL Industries. It trades about 0.27 of its potential returns per unit of risk. DL Industries is currently generating about 0.04 per unit of risk. If you would invest  1,515,445  in NYSE Composite on November 2, 2022 and sell it today you would earn a total of  66,445  from holding NYSE Composite or generate 4.38% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
ValuesDaily Returns

NYSE Composite  vs.  DL Industries Inc

 Performance (%) 

NYSE Composite and DL Industries Volatility Contrast

   Predicted Return Density   

Pair Trading with NYSE Composite and DL Industries

The main advantage of trading using opposite NYSE Composite and DL Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, DL Industries 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 DL Industries will offset losses from the drop in DL Industries' long position.
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The idea behind NYSE Composite and DL Industries 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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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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