Pair Correlation Between NQPH and NQTH

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

Pair Volatility

Assuming 30 trading days horizon, NQPH is expected to under-perform the NQTH. In addition to that, NQPH is 1.41 times more volatile than NQTH. It trades about -0.06 of its total potential returns per unit of risk. NQTH is currently generating about 0.23 per unit of volatility. If you would invest  111,829  in NQTH on October 19, 2017 and sell it today you would earn a total of  3,329  from holding NQTH or generate 2.98% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NQPH and NQTH
0.26

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthVery Weak
Accuracy95.45%
ValuesDaily Returns

Diversification

Modest diversification

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

Comparative Volatility

 Predicted Return Density 
      Returns