Pair Correlation Between NYSE and DAX

This module allows you to analyze existing cross correlation between NYSE and DAX. You can compare the effects of market volatilities on NYSE and DAX 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 NYSE with a short position of DAX. See also your portfolio center. Please also check ongoing floating volatility patterns of NYSE and DAX.
 Time Horizon     30 Days    Login   to change
 NYSE  vs   DAX
 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, NYSE is expected to generate 1.24 times more return on investment than DAX. However, NYSE is 1.24 times more volatile than DAX. It trades about -0.14 of its potential returns per unit of risk. DAX is currently generating about -0.34 per unit of risk. If you would invest  1,347,038  in NYSE on January 20, 2018 and sell it today you would lose (59,602)  from holding NYSE or give up 4.42% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between NYSE and DAX


Time Period1 Month [change]
StrengthVery Strong
ValuesDaily Returns


Almost no diversification

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

Comparative Volatility

 Predicted Return Density