Pair Correlation Between NYSE and BSE

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

Pair Volatility

Given the investment horizon of 30 days, NYSE is expected to under-perform the BSE. But the index apears to be less risky and, when comparing its historical volatility, NYSE is 2.05 times less risky than BSE. The index trades about -0.09 of its potential returns per unit of risk. The BSE is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest  3,238,996  in BSE on October 19, 2017 and sell it today you would earn a total of  95,284  from holding BSE or generate 2.94% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NYSE and BSE


Time Period1 Month [change]
ValuesDaily Returns


Good diversification

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

Comparative Volatility

 Predicted Return Density