Correlation Between Dow Jones and DELTA AIR

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

Diversification Opportunities for Dow Jones and DELTA AIR

0.88
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Dow and DELTA is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and DELTA AIR LINES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DELTA AIR LINES 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 DELTA AIR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DELTA AIR LINES has no effect on the direction of Dow Jones i.e., Dow Jones and DELTA AIR go up and down completely randomly.
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Pair Corralation between Dow Jones and DELTA AIR

Assuming the 90 days trading horizon Dow Jones is expected to generate 2.05 times less return on investment than DELTA AIR. But when comparing it to its historical volatility, Dow Jones Industrial is 2.98 times less risky than DELTA AIR. It trades about 0.12 of its potential returns per unit of risk. DELTA AIR LINES is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  3,534  in DELTA AIR LINES on August 31, 2024 and sell it today you would earn a total of  2,482  from holding DELTA AIR LINES or generate 70.23% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy98.16%
ValuesDaily Returns

Dow Jones Industrial  vs.  DELTA AIR LINES

 Performance 
       Timeline  

Dow Jones and DELTA AIR Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and DELTA AIR

The main advantage of trading using opposite Dow Jones and DELTA AIR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, DELTA AIR 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 DELTA AIR will offset losses from the drop in DELTA AIR's long position.
The idea behind Dow Jones Industrial and DELTA AIR LINES 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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