Correlation Analysis Between BSE and All Ords

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

BSE  vs.  All Ords

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, BSE is expected to generate 1.15 times more return on investment than All Ords. However, BSE is 1.15 times more volatile than All Ords. It trades about 0.01 of its potential returns per unit of risk. All Ords is currently generating about -0.19 per unit of risk. If you would invest  3,543,794  in BSE on October 17, 2018 and sell it today you would earn a total of  1,875  from holding BSE or generate 0.05% return on investment over 30 days.

Pair Corralation between BSE and All Ords

Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


BSE diversification synergy

Modest diversification

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

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.