Correlation Analysis Between OMXVGI and NQFI

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

OMXVGI  vs.  NQFI

 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, OMXVGI is expected to generate 0.28 times more return on investment than NQFI. However, OMXVGI is 3.63 times less risky than NQFI. It trades about 0.03 of its potential returns per unit of risk. NQFI is currently generating about -0.21 per unit of risk. If you would invest  71,026  in OMXVGI on May 22, 2018 and sell it today you would earn a total of  138.78  from holding OMXVGI or generate 0.2% return on investment over 30 days.

Pair Corralation between OMXVGI and NQFI

0.0
Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Diversification

Pay attention

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

 Predicted Return Density 
      Returns 

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