Pair Correlation Between AEX Amsterdam and NQTH

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

Pair Volatility

Given the investment horizon of 30 days, AEX Amsterdam is expected to generate 23.37 times more return on investment than NQTH. However, AEX Amsterdam is 23.37 times more volatile than NQTH. It trades about 0.08 of its potential returns per unit of risk. NQTH is currently generating about 0.08 per unit of risk. If you would invest  80,546  in AEX Amsterdam on February 15, 2018 and sell it today you would earn a total of  877.00  from holding AEX Amsterdam or generate 1.09% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between AEX Amsterdam and NQTH


Time Period1 Month [change]
ValuesDaily Returns


Very good diversification

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

Comparative Volatility

 Predicted Return Density