Correlation Between Dow Jones and Swatch Group

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

Diversification Opportunities for Dow Jones and Swatch Group

0.4
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Dow and Swatch is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Swatch Group AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swatch Group AG 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 Swatch Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swatch Group AG has no effect on the direction of Dow Jones i.e., Dow Jones and Swatch Group go up and down completely randomly.
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Pair Corralation between Dow Jones and Swatch Group

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.49 times more return on investment than Swatch Group. However, Dow Jones Industrial is 2.03 times less risky than Swatch Group. It trades about -0.04 of its potential returns per unit of risk. Swatch Group AG is currently generating about -0.04 per unit of risk. If you would invest  4,257,373  in Dow Jones Industrial on December 30, 2024 and sell it today you would lose (98,983) from holding Dow Jones Industrial or give up 2.32% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy98.41%
ValuesDaily Returns

Dow Jones Industrial  vs.  Swatch Group AG

 Performance 
       Timeline  

Dow Jones and Swatch Group Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Swatch Group

The main advantage of trading using opposite Dow Jones and Swatch Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Swatch Group 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 Swatch Group will offset losses from the drop in Swatch Group's long position.
The idea behind Dow Jones Industrial and Swatch Group AG 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

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