Correlation Between Dow Jones and Deka MSCI

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

Diversification Opportunities for Dow Jones and Deka MSCI

0.94
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Dow and Deka is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Deka MSCI World in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deka MSCI World 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 Deka MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deka MSCI World has no effect on the direction of Dow Jones i.e., Dow Jones and Deka MSCI go up and down completely randomly.
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Pair Corralation between Dow Jones and Deka MSCI

Assuming the 90 days trading horizon Dow Jones is expected to generate 2.06 times less return on investment than Deka MSCI. In addition to that, Dow Jones is 1.06 times more volatile than Deka MSCI World. It trades about 0.11 of its total potential returns per unit of risk. Deka MSCI World is currently generating about 0.25 per unit of volatility. If you would invest  3,337  in Deka MSCI World on September 16, 2024 and sell it today you would earn a total of  387.00  from holding Deka MSCI World or generate 11.6% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy98.48%
ValuesDaily Returns

Dow Jones Industrial  vs.  Deka MSCI World

 Performance 
       Timeline  

Dow Jones and Deka MSCI Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Deka MSCI

The main advantage of trading using opposite Dow Jones and Deka MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Deka MSCI 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 Deka MSCI will offset losses from the drop in Deka MSCI's long position.
The idea behind Dow Jones Industrial and Deka MSCI World 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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