Correlation Analysis Between Bovespa and BSE

This module allows you to analyze existing cross correlation between Bovespa and BSE. You can compare the effects of market volatilities on Bovespa and BSE 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 BSE. See also your portfolio center. Please also check ongoing floating volatility patterns of Bovespa and BSE.
Horizon     30 Days    Login   to change

Bovespa  vs.  BSE

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Bovespa is expected to generate 1.47 times more return on investment than BSE. However, Bovespa is 1.47 times more volatile than BSE. It trades about 0.18 of its potential returns per unit of risk. BSE is currently generating about -0.23 per unit of risk. If you would invest  7,944,429  in Bovespa on September 23, 2018 and sell it today you would earn a total of  615,271  from holding Bovespa or generate 7.74% return on investment over 30 days.

Pair Corralation between Bovespa and BSE

Time Period1 Month [change]
ValuesDaily Returns


Pay attention

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

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Fundamentals Matrix module to view fundamentals matrix and analyze how accounts are interrelated and interconnected with each other.