Pair Correlation Between Nasdaq and Stockholm

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

Pair Volatility

Assuming 30 trading days horizon, Nasdaq is expected to generate 1.21 times more return on investment than Stockholm. However, Nasdaq is 1.21 times more volatile than Stockholm. It trades about 0.49 of its potential returns per unit of risk. Stockholm is currently generating about 0.24 per unit of risk. If you would invest  696,536  in Nasdaq on December 21, 2017 and sell it today you would earn a total of  37,102  from holding Nasdaq or generate 5.33% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Nasdaq and Stockholm


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 Nasdaq and Stockholm in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Stockholm and Nasdaq 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 Nasdaq 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 Nasdaq i.e. Nasdaq and Stockholm go up and down completely randomly.

Comparative Volatility

 Predicted Return Density