Pair Correlation Between OMXVGI and Jakarta Comp

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

Pair Volatility

Assuming 30 trading days horizon, OMXVGI is expected to generate 3.13 times more return on investment than Jakarta Comp. However, OMXVGI is 3.13 times more volatile than Jakarta Comp. It trades about 0.02 of its potential returns per unit of risk. Jakarta Comp is currently generating about 0.01 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 Jakarta Comp


Time Period1 Month [change]
ValuesDaily Returns


Significant diversification

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

Comparative Volatility

 Predicted Return Density