Correlation Analysis Between AEX Amsterdam and Stockholm

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

AEX Amsterdam  vs.  Stockholm

 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, AEX Amsterdam is expected to under-perform the Stockholm. In addition to that, AEX Amsterdam is 1.11 times more volatile than Stockholm. It trades about -0.23 of its total potential returns per unit of risk. Stockholm is currently generating about 0.19 per unit of volatility. If you would invest  58,637  in Stockholm on July 19, 2018 and sell it today you would earn a total of  1,245  from holding Stockholm or generate 2.12% return on investment over 30 days.

Pair Corralation between AEX Amsterdam and Stockholm

Time Period1 Month [change]
ValuesDaily Returns


Good diversification

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

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.