Correlation Between DAX Index and KRISPY KREME

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Can any of the company-specific risk be diversified away by investing in both DAX Index and KRISPY KREME 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 KRISPY KREME into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DAX Index and KRISPY KREME DL 01, you can compare the effects of market volatilities on DAX Index and KRISPY KREME 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 KRISPY KREME. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and KRISPY KREME.

Diversification Opportunities for DAX Index and KRISPY KREME

-0.78
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between DAX and KRISPY is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and KRISPY KREME DL 01 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KRISPY KREME DL 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 KRISPY KREME. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KRISPY KREME DL has no effect on the direction of DAX Index i.e., DAX Index and KRISPY KREME go up and down completely randomly.
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Pair Corralation between DAX Index and KRISPY KREME

Assuming the 90 days trading horizon DAX Index is expected to generate 0.17 times more return on investment than KRISPY KREME. However, DAX Index is 5.88 times less risky than KRISPY KREME. It trades about 0.28 of its potential returns per unit of risk. KRISPY KREME DL 01 is currently generating about -0.18 per unit of risk. If you would invest  1,993,362  in DAX Index on December 1, 2024 and sell it today you would earn a total of  261,781  from holding DAX Index or generate 13.13% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

DAX Index  vs.  KRISPY KREME DL 01

 Performance 
       Timeline  

DAX Index and KRISPY KREME Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DAX Index and KRISPY KREME

The main advantage of trading using opposite DAX Index and KRISPY KREME positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, KRISPY KREME 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 KRISPY KREME will offset losses from the drop in KRISPY KREME's long position.
The idea behind DAX Index and KRISPY KREME DL 01 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

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