Correlation Between DAX Index and SoftBank Group

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

Diversification Opportunities for DAX Index and SoftBank Group

0.52
  Correlation Coefficient

Very weak diversification

The 3 months correlation between DAX and SoftBank is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and SoftBank Group Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoftBank Group Corp and DAX Index 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 DAX Index are associated (or correlated) with SoftBank Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SoftBank Group Corp has no effect on the direction of DAX Index i.e., DAX Index and SoftBank Group go up and down completely randomly.
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Pair Corralation between DAX Index and SoftBank Group

Assuming the 90 days trading horizon DAX Index is expected to generate 0.34 times more return on investment than SoftBank Group. However, DAX Index is 2.94 times less risky than SoftBank Group. It trades about 0.08 of its potential returns per unit of risk. SoftBank Group Corp is currently generating about 0.01 per unit of risk. If you would invest  1,937,762  in DAX Index on September 23, 2024 and sell it today you would earn a total of  50,713  from holding DAX Index or generate 2.62% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  SoftBank Group Corp

 Performance 
       Timeline  

DAX Index and SoftBank Group Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and SoftBank Group

The main advantage of trading using opposite DAX Index and SoftBank Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, SoftBank 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 SoftBank Group will offset losses from the drop in SoftBank Group's long position.
The idea behind DAX Index and SoftBank Group Corp 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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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