Correlation Between Gan Shmuel and Dow Jones

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

Diversification Opportunities for Gan Shmuel and Dow Jones

0.85
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Gan and Dow is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Gan Shmuel and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Gan Shmuel 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 Gan Shmuel are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Gan Shmuel i.e., Gan Shmuel and Dow Jones go up and down completely randomly.
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Pair Corralation between Gan Shmuel and Dow Jones

Assuming the 90 days trading horizon Gan Shmuel is expected to generate 3.44 times more return on investment than Dow Jones. However, Gan Shmuel is 3.44 times more volatile than Dow Jones Industrial. It trades about 0.11 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.01 per unit of risk. If you would invest  367,683  in Gan Shmuel on September 14, 2024 and sell it today you would earn a total of  12,217  from holding Gan Shmuel or generate 3.32% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy85.71%
ValuesDaily Returns

Gan Shmuel  vs.  Dow Jones Industrial

 Performance 
       Timeline  

Gan Shmuel and Dow Jones Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Gan Shmuel and Dow Jones

The main advantage of trading using opposite Gan Shmuel and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gan Shmuel position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.
The idea behind Gan Shmuel and Dow Jones Industrial 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

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