Correlation Analysis Between DAX and OMXVGI

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

Comparative Performance

 Predicted Return Density 


 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, DAX is expected to generate 2.34 times more return on investment than OMXVGI. However, DAX is 2.34 times more volatile than OMXVGI. It trades about -0.16 of its potential returns per unit of risk. OMXVGI is currently generating about -0.38 per unit of risk. If you would invest  1,164,495  in DAX on November 19, 2018 and sell it today you would lose (90,406)  from holding DAX or give up 7.76% of portfolio value over 30 days.

Pair Corralation between DAX and OMXVGI

Time Period2 Months [change]
ValuesDaily Returns

Diversification Opportunities for DAX and OMXVGI

DAX diversification synergy

Poor diversification

Overlapping area represents the amount of risk that can be diversified away by holding DAX and OMXVGI in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on OMXVGI and DAX 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 DAX 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 DAX i.e. DAX and OMXVGI go up and down completely randomly.

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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.