Pair Correlation Between OMXVGI and Stockholm

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

Pair Volatility

Assuming 30 trading days horizon, OMXVGI is expected to generate 2.05 times more return on investment than Stockholm. However, OMXVGI is 2.05 times more volatile than Stockholm. It trades about 0.02 of its potential returns per unit of risk. Stockholm is currently generating about -0.16 per unit of risk. If you would invest  66,698  in OMXVGI on January 23, 2018 and sell it today you would earn a total of  184.00  from holding OMXVGI or generate 0.28% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between OMXVGI and Stockholm


Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Modest diversification

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

Comparative Volatility

 Predicted Return Density