Correlation Analysis Between DAX and NYSE

This module allows you to analyze existing cross correlation between DAX and NYSE. You can compare the effects of market volatilities on DAX and NYSE 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 NYSE. See also your portfolio center. Please also check ongoing floating volatility patterns of DAX and NYSE.
Horizon     30 Days    Login   to change

DAX  vs.  NYSE

 Performance (%) 

Pair Volatility

If you would invest  1,293,346  in NYSE on August 26, 2018 and sell it today you would earn a total of  15,420  from holding NYSE or generate 1.19% return on investment over 30 days.

Pair Corralation between DAX and NYSE

Time Period1 Month [change]
ValuesDaily Returns


Pay attention

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

Comparative Volatility

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See also your portfolio center. Please also try Aroon Oscillator module to analyze current equity momentum using aroon oscillator and other momentum ratios.