Correlation Between Dow Jones and OSX Brasil

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

Diversification Opportunities for Dow Jones and OSX Brasil

-0.64
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Dow and OSX is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and OSX Brasil SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OSX Brasil SA 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 OSX Brasil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OSX Brasil SA has no effect on the direction of Dow Jones i.e., Dow Jones and OSX Brasil go up and down completely randomly.
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Pair Corralation between Dow Jones and OSX Brasil

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.26 times more return on investment than OSX Brasil. However, Dow Jones Industrial is 3.88 times less risky than OSX Brasil. It trades about 0.23 of its potential returns per unit of risk. OSX Brasil SA is currently generating about -0.08 per unit of risk. If you would invest  4,009,340  in Dow Jones Industrial on April 24, 2025 and sell it today you would earn a total of  440,904  from holding Dow Jones Industrial or generate 11.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy98.39%
ValuesDaily Returns

Dow Jones Industrial  vs.  OSX Brasil SA

 Performance 
       Timeline  

Dow Jones and OSX Brasil Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and OSX Brasil

The main advantage of trading using opposite Dow Jones and OSX Brasil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, OSX Brasil 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 OSX Brasil will offset losses from the drop in OSX Brasil's long position.
The idea behind Dow Jones Industrial and OSX Brasil SA 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

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