Correlation Between Dow Jones and Celltrion

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

Diversification Opportunities for Dow Jones and Celltrion

-0.56
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Dow and Celltrion is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Celltrion in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Celltrion 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 Celltrion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Celltrion has no effect on the direction of Dow Jones i.e., Dow Jones and Celltrion go up and down completely randomly.
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Pair Corralation between Dow Jones and Celltrion

Assuming the 90 days trading horizon Dow Jones is expected to generate 1.07 times less return on investment than Celltrion. But when comparing it to its historical volatility, Dow Jones Industrial is 3.13 times less risky than Celltrion. It trades about 0.08 of its potential returns per unit of risk. Celltrion is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest  16,256,800  in Celltrion on September 26, 2024 and sell it today you would earn a total of  3,183,200  from holding Celltrion or generate 19.58% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy97.38%
ValuesDaily Returns

Dow Jones Industrial  vs.  Celltrion

 Performance 
       Timeline  

Dow Jones and Celltrion Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Celltrion

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