Pair Correlation Between IBEX 35 and NQPH

This module allows you to analyze existing cross correlation between IBEX 35 and NQPH. You can compare the effects of market volatilities on IBEX 35 and NQPH 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 IBEX 35 with a short position of NQPH. See also your portfolio center. Please also check ongoing floating volatility patterns of IBEX 35 and NQPH.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 IBEX 35  vs   NQPH
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, IBEX 35 is expected to under-perform the NQPH. In addition to that, IBEX 35 is 1.11 times more volatile than NQPH. It trades about -0.05 of its total potential returns per unit of risk. NQPH is currently generating about 0.11 per unit of volatility. If you would invest  116,243  in NQPH on October 25, 2017 and sell it today you would earn a total of  2,334  from holding NQPH or generate 2.01% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between IBEX 35 and NQPH
0.03

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Diversification

Significant diversification

Overlapping area represents the amount of risk that can be diversified away by holding IBEX 35 and NQPH in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NQPH and IBEX 35 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 IBEX 35 are associated (or correlated) with NQPH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NQPH has no effect on the direction of IBEX 35 i.e. IBEX 35 and NQPH go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns