Pair Correlation Between Bovespa and All Ords

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

Pair Volatility

Assuming 30 trading days horizon, Bovespa is expected to generate 1.72 times more return on investment than All Ords. However, Bovespa is 1.72 times more volatile than All Ords. It trades about 0.2 of its potential returns per unit of risk. All Ords is currently generating about -0.08 per unit of risk. If you would invest  8,067,834  in Bovespa on January 23, 2018 and sell it today you would earn a total of  537,348  from holding Bovespa or generate 6.66% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Bovespa and All Ords


Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Modest diversification

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

Comparative Volatility

 Predicted Return Density