Pair Correlation Between BSE and NYSE

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

Pair Volatility

Assuming 30 trading days horizon, BSE is expected to under-perform the NYSE. But the index apears to be less risky and, when comparing its historical volatility, BSE is 1.75 times less risky than NYSE. The index trades about -0.28 of its potential returns per unit of risk. The NYSE is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest  1,338,446  in NYSE on January 19, 2018 and sell it today you would lose (51,010)  from holding NYSE or give up 3.81% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between BSE and NYSE


Time Period1 Month [change]
ValuesDaily Returns


Poor diversification

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

Comparative Volatility

 Predicted Return Density