Pair Correlation Between DAX and DOW

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

Pair Volatility

Assuming 30 trading days horizon, DAX is expected to under-perform the DOW. But the index apears to be less risky and, when comparing its historical volatility, DAX is 1.56 times less risky than DOW. The index trades about -0.35 of its potential returns per unit of risk. The DOW is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest  2,621,460  in DOW on January 21, 2018 and sell it today you would lose (99,522)  from holding DOW or give up 3.8% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between DAX and DOW


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 DAX and DOW in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on DOW 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 DOW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DOW has no effect on the direction of DAX i.e. DAX and DOW go up and down completely randomly.

Comparative Volatility

 Predicted Return Density