Pair Correlation Between NYSE and Shanghai

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

Pair Volatility

Given the investment horizon of 30 days, NYSE is expected to generate 1.16 times less return on investment than Shanghai. But when comparing it to its historical volatility, NYSE is 1.34 times less risky than Shanghai. It trades about 0.59 of its potential returns per unit of risk. Shanghai is currently generating about 0.51 of returns per unit of risk over similar time horizon. If you would invest  328,761  in Shanghai on December 20, 2017 and sell it today you would earn a total of  18,714  from holding Shanghai or generate 5.69% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NYSE and Shanghai


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

Comparative Volatility

 Predicted Return Density