Pair Correlation Between Russell 2000 and OMXVGI

This module allows you to analyze existing cross correlation between Russell 2000 and OMXVGI. You can compare the effects of market volatilities on Russell 2000 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 Russell 2000 with a short position of OMXVGI. See also your portfolio center. Please also check ongoing floating volatility patterns of Russell 2000 and OMXVGI.
 Time Horizon     30 Days    Login   to change
 Russell 2000   vs   OMXVGI
 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, Russell 2000 is expected to generate 0.79 times more return on investment than OMXVGI. However, Russell 2000 is 1.27 times less risky than OMXVGI. It trades about -0.11 of its potential returns per unit of risk. OMXVGI is currently generating about -0.18 per unit of risk. If you would invest  160,167  in Russell 2000 on January 25, 2018 and sell it today you would lose (5,248)  from holding Russell 2000 or give up 3.28% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between Russell 2000 and OMXVGI


Time Period1 Month [change]
ValuesDaily Returns


Very weak diversification

Overlapping area represents the amount of risk that can be diversified away by holding Russell 2000 and OMXVGI in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on OMXVGI and Russell 2000 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 Russell 2000 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 Russell 2000 i.e. Russell 2000 and OMXVGI go up and down completely randomly.

Comparative Volatility

 Predicted Return Density