Correlation Analysis Between NQFI and Russia TR

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

NQFI  vs.  Russia TR

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, NQFI is expected to generate 0.71 times more return on investment than Russia TR. However, NQFI is 1.41 times less risky than Russia TR. It trades about -0.14 of its potential returns per unit of risk. Russia TR is currently generating about -0.17 per unit of risk. If you would invest  165,682  in NQFI on May 20, 2018 and sell it today you would lose (6,275)  from holding NQFI or give up 3.79% of portfolio value over 30 days.

Pair Corralation between NQFI and Russia TR

Time Period1 Month [change]
StrengthVery Strong
ValuesDaily Returns


No risk reduction

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

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Pair Correlation module to compare performance and examine historical correlation between any two equity instruments.