Correlation Between DAX Index and Global Online

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both DAX Index and Global Online 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 Global Online into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DAX Index and Global Online Retail, you can compare the effects of market volatilities on DAX Index and Global Online 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 Global Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Global Online.

Diversification Opportunities for DAX Index and Global Online

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between DAX and Global is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Global Online Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Online Retail 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 Global Online. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Online Retail has no effect on the direction of DAX Index i.e., DAX Index and Global Online go up and down completely randomly.
    Optimize

Pair Corralation between DAX Index and Global Online

If you would invest  1,944,860  in DAX Index on September 12, 2024 and sell it today you would earn a total of  95,056  from holding DAX Index or generate 4.89% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

DAX Index  vs.  Global Online Retail

 Performance 
       Timeline  

DAX Index and Global Online Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and Global Online

The main advantage of trading using opposite DAX Index and Global Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Global Online 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 Global Online will offset losses from the drop in Global Online's long position.
The idea behind DAX Index and Global Online Retail 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.
Check out your portfolio center.
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

Other Complementary Tools

Content Syndication
Quickly integrate customizable finance content to your own investment portal
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Equity Valuation
Check real value of public entities based on technical and fundamental data
Money Managers
Screen money managers from public funds and ETFs managed around the world
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation