Pair Correlation Between NQPH and Madrid Gnrl

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

Pair Volatility

Assuming 30 trading days horizon, NQPH is expected to generate 0.92 times more return on investment than Madrid Gnrl. However, NQPH is 1.08 times less risky than Madrid Gnrl. It trades about 0.04 of its potential returns per unit of risk. Madrid Gnrl is currently generating about -0.05 per unit of risk. If you would invest  117,238  in NQPH on October 22, 2017 and sell it today you would earn a total of  748  from holding NQPH or generate 0.64% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NQPH and Madrid Gnrl


Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Weak diversification

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

Comparative Volatility

 Predicted Return Density