Correlation Between DAX Index and Sekisui House

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

Diversification Opportunities for DAX Index and Sekisui House

-0.24
  Correlation Coefficient

Very good diversification

The 3 months correlation between DAX and Sekisui is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Sekisui House in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sekisui House 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 Sekisui House. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sekisui House has no effect on the direction of DAX Index i.e., DAX Index and Sekisui House go up and down completely randomly.
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Pair Corralation between DAX Index and Sekisui House

Assuming the 90 days trading horizon DAX Index is expected to generate 0.64 times more return on investment than Sekisui House. However, DAX Index is 1.56 times less risky than Sekisui House. It trades about 0.18 of its potential returns per unit of risk. Sekisui House is currently generating about 0.0 per unit of risk. If you would invest  1,940,520  in DAX Index on September 24, 2024 and sell it today you would earn a total of  47,955  from holding DAX Index or generate 2.47% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  Sekisui House

 Performance 
       Timeline  

DAX Index and Sekisui House Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Sekisui House

The main advantage of trading using opposite DAX Index and Sekisui House positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Sekisui House 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 Sekisui House will offset losses from the drop in Sekisui House's long position.
The idea behind DAX Index and Sekisui House 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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