Pair Correlation Between Hang Seng and SP 500

This module allows you to analyze existing cross correlation between Hang Seng and S&P 500. You can compare the effects of market volatilities on Hang Seng and SP 500 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 Hang Seng with a short position of SP 500. See also your portfolio center. Please also check ongoing floating volatility patterns of Hang Seng and SP 500.
 Time Horizon     30 Days    Login   to change
 Hang Seng  vs   S&P 500
 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, Hang Seng is expected to generate 1.39 times more return on investment than SP 500. However, Hang Seng is 1.39 times more volatile than S&P 500. It trades about 0.79 of its potential returns per unit of risk. S&P 500 is currently generating about 0.58 per unit of risk. If you would invest  2,957,801  in Hang Seng on December 22, 2017 and sell it today you would earn a total of  267,688  from holding Hang Seng or generate 9.05% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Hang Seng and SP 500


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 Hang Seng and S&P 500 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SP 500 and Hang Seng 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 Hang Seng are associated (or correlated) with SP 500. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP 500 has no effect on the direction of Hang Seng i.e. Hang Seng and SP 500 go up and down completely randomly.

Comparative Volatility

 Predicted Return Density