Pair Correlation Between DAX and SP 500

This module allows you to analyze existing cross correlation between DAX and S&P 500. You can compare the effects of market volatilities on DAX and SP 500 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 with a short position of SP 500. See also your portfolio center. Please also check ongoing floating volatility patterns of DAX and SP 500.
 Time Horizon     30 Days    Login   to change

DAX  vs.  S&P 500

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, DAX is expected to generate 0.73 times more return on investment than SP 500. However, DAX is 1.37 times less risky than SP 500. It trades about 0.04 of its potential returns per unit of risk. S&P 500 is currently generating about 0.0 per unit of risk. If you would invest  1,238,560  in DAX on March 20, 2018 and sell it today you would earn a total of  20,523  from holding DAX or generate 1.66% return on investment over 30 days.

Pair Corralation between DAX and SP 500

Time Period2 Months [change]
StrengthVery Strong
ValuesDaily Returns


Almost no diversification

Overlapping area represents the amount of risk that can be diversified away by holding DAX and S&P 500 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SP 500 and DAX 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 are associated (or correlated) with SP 500. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP 500 has no effect on the direction of DAX i.e. DAX and SP 500 go up and down completely randomly.

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Fundamentals Matrix module to view fundamentals matrix and analyze how accounts are interrelated and interconnected with each other.