Pair Correlation Between NIKKEI 225 and OMXVGI

This module allows you to analyze existing cross correlation between NIKKEI 225 and OMXVGI. You can compare the effects of market volatilities on NIKKEI 225 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 NIKKEI 225 with a short position of OMXVGI. See also your portfolio center. Please also check ongoing floating volatility patterns of NIKKEI 225 and OMXVGI.
Investment Horizon     30 Days    Login   to change
 NIKKEI 225  vs   OMXVGI
 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, NIKKEI 225 is expected to generate 3.24 times more return on investment than OMXVGI. However, NIKKEI 225 is 3.24 times more volatile than OMXVGI. It trades about 0.14 of its potential returns per unit of risk. OMXVGI is currently generating about 0.11 per unit of risk. If you would invest  2,169,665  in NIKKEI 225 on October 23, 2017 and sell it today you would earn a total of  56,511  from holding NIKKEI 225 or generate 2.6% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NIKKEI 225 and OMXVGI


Time Period1 Month [change]
ValuesDaily Returns


Very poor diversification

Overlapping area represents the amount of risk that can be diversified away by holding NIKKEI 225 and OMXVGI in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on OMXVGI and NIKKEI 225 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 NIKKEI 225 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 NIKKEI 225 i.e. NIKKEI 225 and OMXVGI go up and down completely randomly.

Comparative Volatility

 Predicted Return Density