Correlation Between DAX Index and Superior Industries

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

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

Diversification Opportunities for DAX Index and Superior Industries

-0.61

Correlation Coefficient

DAX Index  Superior Industries

Excellent diversification

The 3 months correlation between DAX and Superior is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Superior Industries Internatio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Superior Industries 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 Superior Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Superior Industries has no effect on the direction of DAX Index i.e., DAX Index and Superior Industries go up and down completely randomly.

Pair Corralation between DAX Index and Superior Industries

Assuming the 90 days trading horizon DAX Index is expected to generate 0.07 times more return on investment than Superior Industries. However, DAX Index is 13.45 times less risky than Superior Industries. It trades about 0.23 of its potential returns per unit of risk. Superior Industries International is currently generating about -0.16 per unit of risk. If you would invest  2,129,353  in DAX Index on April 20, 2025 and sell it today you would earn a total of  299,598  from holding DAX Index or generate 14.07% return on investment over 90 days.

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

DAX Index  vs.  Superior Industries Internatio

Pair Trading with DAX Index and Superior Industries

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

The idea behind DAX Index and Superior Industries International 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.