Pair Correlation Between NQTH and Hang Seng

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

Pair Volatility

Assuming 30 trading days horizon, NQTH is expected to generate 1.1 times less return on investment than Hang Seng. But when comparing it to its historical volatility, NQTH is 1.55 times less risky than Hang Seng. It trades about 0.08 of its potential returns per unit of risk. Hang Seng is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  3,111,543  in Hang Seng on February 15, 2018 and sell it today you would earn a total of  42,567  from holding Hang Seng or generate 1.37% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NQTH and Hang Seng


Time Period1 Month [change]
ValuesDaily Returns


Very good diversification

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

Comparative Volatility

 Predicted Return Density