Pair Correlation Between Shanghai and Stockholm

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

Pair Volatility

Assuming 30 trading days horizon, Shanghai is expected to under-perform the Stockholm. In addition to that, Shanghai is 1.06 times more volatile than Stockholm. It trades about -0.47 of its total potential returns per unit of risk. Stockholm is currently generating about -0.14 per unit of volatility. If you would invest  59,226  in Stockholm on January 22, 2018 and sell it today you would lose (2,063)  from holding Stockholm or give up 3.48% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between Shanghai and Stockholm


Time Period1 Month [change]
ValuesDaily Returns


Good diversification

Overlapping area represents the amount of risk that can be diversified away by holding Shanghai and Stockholm in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Stockholm and Shanghai 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 Shanghai 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 Shanghai i.e. Shanghai and Stockholm go up and down completely randomly.

Comparative Volatility

 Predicted Return Density