Pair Correlation Between NQFI and CAC 40

This module allows you to analyze existing cross correlation between NQFI and CAC 40. You can compare the effects of market volatilities on NQFI and CAC 40 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 NQFI with a short position of CAC 40. See also your portfolio center. Please also check ongoing floating volatility patterns of NQFI and CAC 40.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 NQFI  vs   CAC 40
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, NQFI is expected to under-perform the CAC 40. In addition to that, NQFI is 1.71 times more volatile than CAC 40. It trades about -0.24 of its total potential returns per unit of risk. CAC 40 is currently generating about -0.07 per unit of volatility. If you would invest  538,681  in CAC 40 on October 22, 2017 and sell it today you would lose (4,636)  from holding CAC 40 or give up 0.86% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between NQFI and CAC 40
0.09

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 NQFI and CAC 40 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on CAC 40 and NQFI 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 NQFI are associated (or correlated) with CAC 40. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CAC 40 has no effect on the direction of NQFI i.e. NQFI and CAC 40 go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns