Pair Correlation Between OMX COPENHAGEN and OMXVGI

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

Pair Volatility

Assuming 30 trading days horizon, OMX COPENHAGEN is expected to generate 0.58 times more return on investment than OMXVGI. However, OMX COPENHAGEN is 1.72 times less risky than OMXVGI. It trades about -0.06 of its potential returns per unit of risk. OMXVGI is currently generating about -0.22 per unit of risk. If you would invest  137,781  in OMX COPENHAGEN on January 26, 2018 and sell it today you would lose (1,814)  from holding OMX COPENHAGEN or give up 1.32% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between OMX COPENHAGEN and OMXVGI


Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Modest diversification

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

Comparative Volatility

 Predicted Return Density