Correlation Between DAX Index and SCOR SE

Can any of the company-specific risk be diversified away by investing in both DAX Index and SCOR SE 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 SCOR SE into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between DAX Index and SCOR SE, you can compare the effects of market volatilities on DAX Index and SCOR SE 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 SCOR SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and SCOR SE.

Diversification Opportunities for DAX Index and SCOR SE

0.66

Correlation Coefficient

DAX Index  SCOR SE

Poor diversification

The 3 months correlation between DAX and SCOR is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and SCOR SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCOR SE 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 SCOR SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCOR SE has no effect on the direction of DAX Index i.e., DAX Index and SCOR SE go up and down completely randomly.

Pair Corralation between DAX Index and SCOR SE

Assuming the 90 days trading horizon DAX Index is expected to generate 0.29 times more return on investment than SCOR SE. However, DAX Index is 3.44 times less risky than SCOR SE. It trades about 0.09 of its potential returns per unit of risk. SCOR SE is currently generating about 0.0 per unit of risk. If you would invest  1,675,164  in DAX Index on September 24, 2024 and sell it today you would earn a total of  313,311  from holding DAX Index or generate 18.7% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

DAX Index  vs.  SCOR SE

Pair Trading with DAX Index and SCOR SE

The main advantage of trading using opposite DAX Index and SCOR SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, SCOR SE 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 SCOR SE will offset losses from the drop in SCOR SE's long position.

The idea behind DAX Index and SCOR SE 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.