Correlation Between Dow Jones and KBC Group

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

Diversification Opportunities for Dow Jones and KBC Group

-0.31
  Correlation Coefficient

Very good diversification

The 3 months correlation between Dow and KBC is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and KBC Group NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KBC Group NV 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 KBC Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KBC Group NV has no effect on the direction of Dow Jones i.e., Dow Jones and KBC Group go up and down completely randomly.
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Pair Corralation between Dow Jones and KBC Group

Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the KBC Group. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 2.49 times less risky than KBC Group. The index trades about -0.23 of its potential returns per unit of risk. The KBC Group NV is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  7,275  in KBC Group NV on September 27, 2024 and sell it today you would earn a total of  106.00  from holding KBC Group NV or generate 1.46% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Dow Jones Industrial  vs.  KBC Group NV

 Performance 
       Timeline  

Dow Jones and KBC Group Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and KBC Group

The main advantage of trading using opposite Dow Jones and KBC Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, KBC 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 KBC Group will offset losses from the drop in KBC Group's long position.
The idea behind Dow Jones Industrial and KBC Group NV 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

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