Pair Correlation Between NYSE and NQFI

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

Pair Volatility

Given the investment horizon of 30 days, NYSE is expected to generate 1.23 times less return on investment than NQFI. But when comparing it to its historical volatility, NYSE is 1.11 times less risky than NQFI. It trades about 0.62 of its potential returns per unit of risk. NQFI is currently generating about 0.68 of returns per unit of risk over similar time horizon. If you would invest  152,100  in NQFI on December 21, 2017 and sell it today you would earn a total of  9,941  from holding NQFI or generate 6.54% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NYSE and NQFI


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

Comparative Volatility

 Predicted Return Density