Pair Correlation Between OMXVGI and OSE All

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

Pair Volatility

Assuming 30 trading days horizon, OMXVGI is expected to generate 5.69 times less return on investment than OSE All. But when comparing it to its historical volatility, OMXVGI is 2.32 times less risky than OSE All. It trades about 0.07 of its potential returns per unit of risk. OSE All is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest  87,155  in OSE All on October 24, 2017 and sell it today you would earn a total of  2,284  from holding OSE All or generate 2.62% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between OMXVGI and OSE All


Time Period1 Month [change]
ValuesDaily Returns


Pay attention

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

Comparative Volatility