Correlation Between Dow Jones and Kerlink SAS

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

Diversification Opportunities for Dow Jones and Kerlink SAS

0.36
  Correlation Coefficient

Weak diversification

The 3 months correlation between Dow and Kerlink is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Kerlink SAS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kerlink SAS 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 Kerlink SAS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kerlink SAS has no effect on the direction of Dow Jones i.e., Dow Jones and Kerlink SAS go up and down completely randomly.
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Pair Corralation between Dow Jones and Kerlink SAS

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.15 times more return on investment than Kerlink SAS. However, Dow Jones Industrial is 6.51 times less risky than Kerlink SAS. It trades about 0.09 of its potential returns per unit of risk. Kerlink SAS is currently generating about 0.01 per unit of risk. If you would invest  3,916,952  in Dow Jones Industrial on September 29, 2024 and sell it today you would earn a total of  382,269  from holding Dow Jones Industrial or generate 9.76% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy99.22%
ValuesDaily Returns

Dow Jones Industrial  vs.  Kerlink SAS

 Performance 
       Timeline  

Dow Jones and Kerlink SAS Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Kerlink SAS

The main advantage of trading using opposite Dow Jones and Kerlink SAS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Kerlink SAS 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 Kerlink SAS will offset losses from the drop in Kerlink SAS's long position.
The idea behind Dow Jones Industrial and Kerlink SAS 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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