Pair Correlation Between Bovespa and Seoul Comp

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

Pair Volatility

Assuming 30 trading days horizon, Bovespa is expected to under-perform the Seoul Comp. In addition to that, Bovespa is 3.05 times more volatile than Seoul Comp. It trades about -0.09 of its total potential returns per unit of risk. Seoul Comp is currently generating about 0.19 per unit of volatility. If you would invest  249,250  in Seoul Comp on October 25, 2017 and sell it today you would earn a total of  5,051  from holding Seoul Comp or generate 2.03% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Bovespa and Seoul Comp


Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Very good diversification

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

Comparative Volatility

 Predicted Return Density